Reduction in medication errors in hospitals due to adoption of computerized provider order entry systems

Impact of implementing the aseptic compounding management system, Medcura, on internal error rates within an oncology pharmacy aseptic unit: a mixed methods evaluation

BACKGROUND

As cancer survivorship improves, pressure on oncology services to provide safe, timely treatments increases. Traditional manual compounding processes are error prone, putting patients at risk. Additionally, errors have a detrimental impact on service delivery and staff morale. Information technology is increasingly utilised to improve safety and service delivery of systemic anti-cancer therapy (SACT). The compounding process control system, Medcura, was developed to manage the end-to-end process and reduce transcription and calculation errors.

OBJECTIVES

To evaluate the impact of implementing Medcura on internal errors and staff perceptions of errors.

METHOD

An aseptic process control system, Medcura, was implemented in a busy pharmacy chemotherapy production unit. Internal error and severity data were collected and analysed for 14 months before and during implementation, and 24 months after implementation. In addition, one-to-one semi-structured interviews were carried out with pharmacy staff, pre- and post-implementation. Interviews were transcribed and thematically analysed.

RESULTS

Error rates decreased after implementation from 2.9% to 2.1%. The types of error detected also changed with a decrease in worksheet and labelling errors, and an increase in assembly errors. The severity of the errors, as a percentage of total errors made, also decreased after implementation. Staff were predominantly positive about Medcura; it reduced the number of errors, eased the preparation of worksheets and labels, reduced pressure and work-related stress, and improved job satisfaction.

CONCLUSIONS

Implementing Medcura has resulted in a reduction in both error rate and severity. Specifically, errors related to label and worksheet generation have seen the largest reduction. Staff have viewed these changes positively and report reduced levels of work-related stress. Further development and roll-out will improve patient safety and staff morale.

[Inability of hospital computerised physician order entry systems to secure the use of concentrated potassium intravenous solutions]

OBJECTIVES

To determine whether hospital computerised physician order entry (CPOE) systems contribute to securing intravenous potassium chloride (KCl) prescriptions with reference to the recommendations issued by French healthcare agencies.

METHODS

We sent a questionnaire to the members of the Association pour le Digital et l'Information en Pharmacie.

RESULTS

More than three quarters of the 84 responses received involving 23 CPOE systems indicate that it is possible to: prescribe an ampoule of concentrated potassium chloride 10% 10mL intravenously without any diluents (80%); prescribe 4g of KCl in a bag of 500mL of NaCl 0,9% (98%); prescribe a solution that contains 6 grams of KCl per liter (94%); prescribe the administration of an injectable ampoule orally by means of a free text comment (83%). Nearly half of the responses indicate that it is possible to prescribe: concentrated KCl ampoules as administration solvent (50%); an injectable vial to be administered by oral route (52%).

CONCLUSION

At least 23 hospital CPOE systems are unable to secure the prescriptions of injectable KCl. This finding lifts the veil on an unthought, namely the role of CPOE systems in securing high-risk medications. In order to solve this problem, it should be mandatory that health information technology vendors pay particular attention to these drugs. With regard to injectable KCl, the utilisation of a dilution vehicle, maximum concentration and maximum infusion flow rate are the first four constraints to be satisfied.

Retrospective evaluation of clinical decision support for within-laboratory optimization of SARS-CoV-2 NAAT workflow

The unprecedented demand for severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) testing led to challenges in prioritizing and processing specimens efficiently. We describe and evaluate a novel workflow using provider- and patient-facing ask at order entry (AOE) questions to generate distinctive icons on specimen labels for within-laboratory clinical decision support (CDS) for specimen triaging. A multidisciplinary committee established target turnaround times (TATs) for SARS-CoV-2 nucleic acid amplification test (NAAT) based on common clinical scenarios. A set of AOE questions was used to collect relevant clinical information that prompted icon generation for triaging SARS-CoV-2 NAAT specimens. We assessed the collect-to-verify TATs among relevant clinical scenarios. Our study included a total of 1,385,813 SARS-CoV-2 NAAT conducted from March 2020 to June 2022. Most testing met the TAT targets established by institutional committees, but deviations from target TATs occurred during periods of high demand and supply shortages. Median TATs for emergency department (ED) and inpatient specimens and ambulatory pre-procedure populations were stable over the pandemic. However, healthcare worker and other ambulatory test TATs varied substantially, depending on testing volume and community transmission rates. Median TAT significantly differed throughout the pandemic for ED and inpatient clinical scenarios, and there were significant differences in TAT among label icon-signified ambulatory clinical scenarios. We describe a novel approach to CDS for triaging specimens within the laboratory. The use of CDS tools could help clinical laboratories prioritize and process specimens efficiently, especially during times of high demand. Further studies are needed to evaluate the impact of our CDS tool on overall laboratory efficiency and patient outcomes. IMPORTANCE We describe a novel approach to clinical decision support (CDS) for triaging specimens within the clinical laboratory for severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) nucleic acid amplification tests (NAAT). The use of our CDS tool could help clinical laboratories prioritize and process specimens efficiently, especially during times of high demand. There were significant differences in the turnaround time for specimens differentiated by icons on specimen labels. Further studies are needed to evaluate the impact of our CDS tool on overall laboratory efficiency and patient outcomes.

Evaluation of prescriptions from tertiary care hospitals across India for deviations from treatment guidelines & their potential consequences

BACKGROUND OBJECTIVES

Irrational prescribing practices have major consequences on patient safety and also increase the economic burden. Real-life examples of impact of irrational prescription have potential to improve prescribing practices. In this context, the present study aimed to capture and evaluate the prevalence of deviations from treatment guidelines in the prescriptions, potential consequence/s of the deviations and corrective actions recommended by clinicians.

METHODS

It was a cross-sectional observational study conducted in the outpatient departments of tertiary care hospitals in India wherein the 13 Indian Council of Medical Research Rational Use of Medicines Centres are located. Prescriptions not compliant with the standard treatment guidelines and incomplete prescriptions with respect to formulation, dose, duration and frequency were labelled as 'prescriptions having deviations'. A deviation that could result in a drug interaction, lack of response, increased cost, preventable adverse drug reaction (ADR) and/or antimicrobial resistance was labelled as an 'unacceptable deviation'.

RESULTS

Against all the prescriptions assessed, about one tenth of them (475/4838; 9.8%) had unacceptable deviations. However, in 2667/4838 (55.1%) prescriptions, the clinicians had adhered to the treatment guidelines. Two thousand one hundred and seventy-one prescriptions had deviations, of which 475 (21.9%) had unacceptable deviations with pantoprazole (n=54), rabeprazole+domperidone (n=35) and oral enzyme preparations (n=24) as the most frequently prescribed drugs and upper respiratory tract infection (URTI) and hypertension as most common diseases with unacceptable deviations. The potential consequences of deviations were increase in cost (n=301), ADRs (n=254), drug interactions (n=81), lack of therapeutic response (n=77) and antimicrobial resistance (n=72). Major corrective actions proposed for consideration were issuance of an administrative order (n=196) and conducting online training programme (n=108).

INTERPRETATION CONCLUSIONS

The overall prevalence of deviations found was 45 per cent of which unacceptable deviations was estimated to be 9.8 per cent. To minimize the deviations, clinicians recommended online training on rational prescribing and administrative directives as potential interventions.

Medication Prescribing Errors on a Surgery Service - Addressing the Gap with a Curriculum for Surgery Residents: A Prospective Observational Study

OBJECTIVES

Educational interventions with proven effectiveness to reduce medication prescribing errors are currently lacking. Our objective was to implement and assess the effectiveness of a curriculum to reduce medication prescribing errors on a surgery service.

METHODS

This was a prospective observational cohort study at a Canadian academic hospital without an electronic order entry system. A pharmacist-led medication prescribing curriculum for surgery residents was developed and implemented over 2 days (2 h/day) in July 2019. Thirteen (76%) out of 17 surgery residents contributed pre-implementation data, while 13 (81%) out of 16 surgery residents contributed post-implementation data. Medication prescribing errors were tracked for 12 months pre-implementation and 6 months post-implementation. Errors were classified as prescription writing (PW) or decision making (DM).

RESULTS

There were a total of 1050 medication prescribing errors made in the pre-implementation period with 615 (59%) PW errors and 435 (41%) DM. There were a mean of 87.5 (SD  =  14.6) total medication prescribing errors per month in the pre-implementation period with 51.3 (11.9) PW and 36.3 (6.0) DM errors. There were a total of 472 medication prescribing errors made in the post-implementation period with 260 (55%) PW and 212 (45%) DM errors. There were a mean of 78.7 (10.3) total medication prescribing errors per month in the post-implementation period with 43.3 (9.5) PW and 35.3 (4.2) DM errors. In the first quarter of the academic year, there were significantly fewer mean total errors per month post-implementation versus pre-implementation (77.7(12.7) versus 107.3(8.1); P  =  .035), with significantly fewer PW errors per month (40.7(13.2) versus 68.7(9.3); P  =  .046) and no difference in DM errors per month (37.0(2.0) versus 38.7(5.7);P  =  .671). There were no differences noted in the second quarter of the academic year.

CONCLUSION

Medication prescribing errors occurred from PW and DM. Medication prescribing curriculum decreased PW errors; however, a continued education program is warranted as the effect diminished over time.

Data Resource Profile: The Hospital Electronic Prescribing and Medicines Administration (HEPMA) National Data Collection in Scotland

Introduction

To support both electronic prescribing and documentation of medicines administration in secondary care, hospitals in Scotland are currently implementing the Hospital Electronic Prescribing and Medicines Administration (HEPMA) software. Driven by the COVID-19 pandemic, agreements have been put in place to centrally collate data stemming from the operational HEPMA system. The aim was to develop a national data resource based on records created in secondary care, in line with pre-existing collections of data from primary care.

Methods

HEPMA is a live clinical system and updated on a continuous basis. Data is automatically extracted from local systems at least weekly and, in most cases, on a nightly basis, and integrated into the national HEPMA dataset. Subsequently, the data are subject to quality checks including data consistency and completeness. Records contain a unique patient identified (Community Health Index number), enabling linkage to other routinely collected data including primary care prescriptions, hospital admission episodes, and death records.

Results

The HEPMA data resource captures and compiles information on all medicines prescribed within the ward/hospital covered by the system; this includes medicine name, formulation, strength, dose, route, and frequency of administration, and dates and times of prescribing. In addition, the HEPMA dataset also captures information on medicines administration, including dates and time of administration. Data is available from January 2019 onwards and held by Public Health Scotland.

Conclusion

The national HEPMA data resource supports cross-sectional/point-prevalence studies including drug utilisation studies, and also offers scope to conduct longitudinal studies, e.g., cohort and case-control studies. With the possibility to link to other relevant datasets, additional areas of interest may include health policy evaluations and health economics studies. Access to data is subject to approval; researchers need to contact the electronic Data Research and Innovation Service (eDRIS) in the first instance.

How Safe are Outpatient Electronic Health Records? An Evaluation of Medication-Related Decision Support using the Ambulatory Electronic Health Record Evaluation Tool

BACKGROUND

The purpose of the Ambulatory Electronic Health Record (EHR) Evaluation Tool is to provide outpatient clinics with an assessment that they can use to measure the ability of the EHR system to detect and prevent common prescriber errors. The tool consists of a medication safety test and a medication reconciliation module.

OBJECTIVES

The goal of this study was to perform a broad evaluation of outpatient medication-related decision support using the Ambulatory EHR Evaluation Tool.

METHODS

We performed a cross-sectional study with 10 outpatient clinics using the Ambulatory EHR Evaluation Tool. For the medication safety test, clinics were provided test patients and associated medication test orders to enter in their EHR, where they recorded any advice or information they received. Once finished, clinics received an overall percentage score of unsafe orders detected and individual order category scores. For the medication reconciliation module, clinics were asked to electronically reconcile two medication lists, where modifications were made by adding and removing medications and changing the dosage of select medications.

RESULTS

For the medication safety test, the mean overall score was 57%, with the highest score being 70%, and the lowest score being 40%. Clinics performed well in the drug allergy (100%), drug dose daily (85%), and inappropriate medication combinations (74%) order categories. Order categories with the lowest performance were drug laboratory (10%) and drug monitoring (3%). Most clinics (90%) scored a 0% in at least one order category. For the medication reconciliation module, only one clinic (10%) could reconcile medication lists electronically; however, there was no clinical decision support available that checked for drug interactions.

CONCLUSION

We evaluated a sample of ambulatory practices around their medication-related decision support and found that advanced capabilities within these systems have yet to be widely implemented. The tool was practical to use and identified substantial opportunities for improvement in outpatient medication safety.

The Learning Electronic Health Record

Electronic medical records (EMRs) constitute the electronic version of all medical information included in a patient's paper chart. The electronic health record (EHR) technology has witnessed massive expansion in developed countries and to a lesser extent in underresourced countries during the last 2 decades. We will review factors leading to this expansion, how the emergence of EHRs is affecting several health-care stakeholders; some of the growing pains associated with EHRs with a particular emphasis on the delivery of care to the critically ill; and ongoing developments on the path to improve the quality of research, health-care delivery, and stakeholder satisfaction.

Effectiveness of nonpharmacological interventions to prevent adverse events in the intensive care unit: A review of systematic reviews

BACKGROUND

Different types of interventions have been assessed for the prevention of adverse events. However, determining which patient-safety practice is most effective can be challenging when there is no systematised evidence synthesis. An overview following the best methodological standards can provide the best reliable integrative evidence.

OBJECTIVES

The objective of this study was to provide an overview of effectiveness nonpharmacological interventions aimed at preventing adverse events in the intensive care unit.

METHODS

A review of systematic reviews (SRs) was conducted according to the Cochrane Handbook and PRISMA recommendations. PubMed, CINAHL, and Cochrane Library were searched for SRs published until March 2022. Two reviewers independently assessed the study's quality, using AMSTAR-2, and extracted data on intervention characteristics and effect on prevention of adverse events.

RESULTS

Thirty-seven SRs were included, and 27 nonpharmacological interventions were identified to prevent 11 adverse events. Most of the reviews had critically low methodological quality. Among all the identified interventions, subglottic secretion drainage, semirecumbent position, and kinetic bed therapy were effective in preventing ventilator-associated pneumonia; the use of earplugs, early mobilisation, family participation, and music in reducing delirium; physical rehabilitation in improving muscle strength; use of respiratory support in preventing reintubation; the use of a computerised physician order entry system in reducing risk of medication errors; and the use of heated water humidifier was effective in reducing artificial airway occlusion.

CONCLUSIONS

Some nonpharmacological interventions reduced adverse events in the intensive care setting. These findings should be interpreted carefully due to the low methodological quality. SRs on preventing adverse events in the intensive care unit should adhere to quality assessment tools so that best evidence can be used in decision-making.

Clinical Informatics in Critical Care Medicine

Continuous monitoring and treatment of patients in intensive care units generates vast amounts of data. Critical Care Medicine clinicians incorporate this continuously evolving data to make split-second, life or death decisions for management of these patients. Despite the abundance of data, it can be challenging to consider every accessible data point when making the quick decisions necessary at the point of care. Consequently, Clinical Informatics offers a natural partnership to improve the care for critically ill patients. The last two decades have seen a significant evolution in the role of Clinical Informatics in Critical Care Medicine. In this review, we will discuss how Clinical Informatics improves the care of critically ill patients by enhancing not only data collection and visualization but also bedside medical decision making. We will further discuss the evolving role of machine learning algorithms in Clinical Informatics as it pertains to Critical Care Medicine.

Computer programs used in the field of hospital pharmacy for the management of dangerous drugs: systematic review of literature

Background

This review wants to highlight the importance of computer programs used to control the steps in the management of dangerous drugs. It must be taken into account that there are phases in the process of handling dangerous medicines in pharmacy services that pose a risk to the healthcare personnel who handle them. Objective: To review the scientific literature to determine what computer programs have been used in the field of hospital pharmacy for the management of dangerous drugs (HDs).

Methods

The following electronic databases were searched from inception to July 30, 2021: MEDLINE (via PubMed), Embase, Cochrane Library, Scopus, Web of Science, Latin American and Caribbean Literature in Health Sciences (LILACS) and Medicine in Spanish (MEDES). The following terms were used in the search strategy: "Antineoplastic Agents," "Cytostatic Agents," "Hazardous Substances," "Medical Informatics Applications," "Mobile Applications," "Software," "Software Design," and "Pharmacy Service, Hospital."

Results

A total of 104 studies were retrieved form the databases, and 18 additional studies were obtained by manually searching the reference lists of the included studies and by consulting experts. Once the inclusion and exclusion criteria were applied, 26 studies were ultimately included in this review. Most of the applications described in the included studies were used for the management of antineoplastic drugs. The most commonly controlled stage was electronic prescription; 18 studies and 7 interventions carried out in the preparation stage focused on evaluating the accuracy of chemotherapy preparations.

Conclusion

Antineoplastic electronic prescription software was the most widely implemented software at the hospital level. No software was found to control the entire HD process. Only one of the selected studies measured safety events in workers who handle HDs. Moreover, health personnel were found to be satisfied with the implementation of this type of technology for daily work with these medications. All studies reviewed herein considered patient safety as their final objective. However, none of the studies evaluated the risk of HD exposure among workers.

Reducing Medication Errors in Children's Hospitals

OBJECTIVES

Knowledge of the prevalence and characteristics of medication errors in pediatric and neonatal patients is limited. This study aimed to evaluate the incidence and medication error characteristics in a pediatric hospital over 5 years and to determine whether serial error prevention programs to optimize a computerized physician order entry (CPOE) system reduce error incidence.

METHODS

We retrospectively reviewed medication errors documented between January 2015 and December 2019.

RESULTS

A total of 2,591,596 prescriptions were checked, and 255 errors were identified. Wrong dose prescriptions constituted the most common errors (56.9%). Medications with the highest rate of errors were antibiotics/antiviral drugs (36.9%). Oral route medications comprised the highest portion (60.8%), followed by intravenous ones (28.6%). The most common stage for medication errors was physician ordering (93.3%). Junior residents were responsible for most errors (45.9%). Most errors occurred in the pediatric ward (53.7%). In total, 221 (86.7%) errors were near misses. Only 4 errors (1.6%) were considered significant and required active monitoring or intervention. Type of error, stage of error, staff composition, and severity level of errors were significantly related to the number of errors in different years. There was a statistically significant decrease in errors per 100,000 prescriptions across different years after optimizing the CPOE system.

CONCLUSIONS

The incidence of medication errors decreased with extensive use of the CPOE system. Continuous application of the CPOE optimization program can effectively reduce medication errors. Further incorporation of pediatric-specific decision-making and support tools and error prevention measures into CPOE systems is needed.

Opioid prescriptions after knee replacement: a retrospective study of pathways and prognostic factors in the Swiss healthcare setting

OBJECTIVES

The optimal use of opioids after knee replacement (KR) remains to be determined, given the growing evidence that opioids are no more effective than other analgesics and that their adverse effects can impair quality of life. Therefore, the objective is to examine opioid prescriptions after KR.

DESIGN

In this retrospective study, we used descriptive statistics and estimated the association of prognostic factors using generalised negative binomial models.

SETTING

The study is based on anonymised claims data of patients with mandatory health insurance at Helsana, a leading Swiss health insurance.

PARTICIPANTS

Overall, 9122 patients undergoing KR between 2015 and 2018 were identified.

PRIMARY AND SECONDARY OUTCOME MEASURES

Based on reimbursed bills, we calculated the dosage (morphine equivalent dose, MED) and the episode length (acute: <90 days; subacute: ≥90 to <120 days or <10 claims; chronic: ≥90 days and ≥10 claims or ≥120 days). The incidence rate ratios (IRRs) for postoperative opioids were calculated.

RESULTS

Of all patients, 3445 (37.8%) received opioids in the postoperative year. A large majority had acute episodes (3067, 89.0%), 2211 (65.0%) had peak MED levels above 100 mg/day and most patients received opioids in the first 10 postoperative weeks (2881, 31.6%). Increasing age (66-75 and >75 vs 18-65) was associated with decreased IRR (0.776 (95% CI 0.7 to 0.859); 0.723 (95% CI 0.649 to 0.805)), whereas preoperative non-opioid analgesics and opioids were associated with higher IRR (1.271 (95% CI 1.155 to 1.399); 3.977 (95% CI 4.409 to 3.591)).

CONCLUSION

The high opioid demand is unexpected given that current recommendations advise using opioids only when other pain therapies are ineffective. To ensure medication safety, it is important to consider alternative treatment options and ensure that benefits outweigh potential risks.

Using Failure Mode, Effect and Criticality Analysis to improve safety in the cancer treatment prescription and administration process

BACKGROUND

Administering cancer drugs is a high-risk process, and mistakes can have fatal consequences. Failure Mode, Effect and Criticality Analysis (FMECA) is a widely recognized method for identifying and preventing potential risks, applied in various settings, including healthcare. The aim of this study was to recognize potential failures in cancer treatment prescription and administration, with a view to enabling the adoption of measures to prevent them.

METHODS

This study consists of a FMECA. A team of resident doctors in public health at the University of Padua examined the cancer chemotherapy process with the support of a multidisciplinary team from the Veneto Institute of Oncology (an acknowledged comprehensive cancer center), and two other provincial hospitals. A diagram was drafted to illustrate 9 different phases of chemotherapy, from the adoption of a treatment plan to its administration, and to identify all possible failure modes. Criticality was ascertained by rating severity, frequency and likelihood of a failure being detected, using adapted versions of already published scales. Safety strategies were identified and summarized.

RESULTS

Twenty-two failure modes came to light, distributed over the various phases of the cancer treatment process, and seven of them were classified as high risk. All phases of the cancer chemotherapy process were defined as potentially critical and at least one action was identified for a single high-risk failure mode. To reduce the likelihood of the cause, or to improve the chances of a failure mode being detected, a total of 10 recommendations have been identified.

CONCLUSIONS

FMECA can be useful for identifying potential failures in a process considered to be at high risk. Safety strategies were devised for each high-risk failure mode identified.

Application of the Failure Mode and Effects Analysis (FMEA) to identify vulnerabilities and opportunities for improvement prior to implementing a computerized prescription order entry (CPOE) system in a university hospital oncology clinic

INTRODUCTION

Prior to implementing a new computerized prescription order entry (CPOE) application, the potential risks associated with this system were assessed and compared to those of paper-based prescriptions. The goal of this study is to identify the vulnerabilities of the CPOE process in order to adapt its design and prevent these potential risks.

METHODS AND MATERIALS

Failure mode and effects analysis (FMEA) was used as a prospective risk-management technique to evaluate the chemotherapy medication process in a university hospital oncology clinic. A multidisciplinary team assessed the process and compared the critical steps of a newly developed CPOE application versus paper-based prescriptions. The potential severity, occurrence and detectability were assessed prior to the implementation of the CPOE application in the clinical setting.

RESULTS

The FMEA led to the identification of 24 process steps that could theoretically be vulnerable, therefore called failure modes. These failure modes were grouped into four categories of potential risk factors: prescription writing, patient scheduling, treatment dispensing and patient follow-up. Criticality scores were calculated and compared for both strategies. Three failure modes were prioritized and led to modification of the CPOE design. Overall, the CPOE pathway showed a potential risk reduction of 51% compared to paper-based prescriptions.

CONCLUSION

FMEA was found to be a useful approach to identify potential risks in the chemotherapy medication process using either CPOE or paper-based prescriptions. The e-prescription mode was estimated to result in less risk than the traditional paper mode.

Computerized clinical decision support systems for prescribing in primary care: main characteristics and implementation impact-protocol of an evidence and gap map

BACKGROUND

Computerized clinical decision support systems are used by clinicians at the point of care to improve quality of healthcare processes (prescribing error prevention, adherence to clinical guidelines, etc.) and clinical outcomes (preventive, therapeutic, and diagnostics). Attempts to summarize results of computerized clinical decision support systems to support prescription in primary care have been challenging, and most systematic reviews and meta-analyses failed due to an extremely high degree of heterogeneity present among the included primary studies. The aim of our study will be to synthesize the evidence, considering all methodological factors that could explain these differences, and build an evidence and gap map to identify important remaining research questions.

METHODS

A literature search will be conducted from January 2010 onwards in MEDLINE, Embase, the Cochrane Library, and Web of Science databases. Two reviewers will independently screen all citations, full text, and abstract data. The study methodological quality and risk of bias will be appraised using appropriate tools if applicable. A flow diagram with the screened studies will be presented, and all included studies will be displayed using interactive evidence and gap maps. Results will be reported in accordance with recommendations from the Campbell Collaboration on the development of evidence and gap maps.

DISCUSSION

Evidence behind computerized clinical decision support systems to support prescription use in primary care has so far been difficult to be synthesized. Evidence and gap maps represent an innovative approach that has emerged and is increasingly being used to address a broader research question, where multiple types of intervention and outcomes reported may be evaluated. Broad inclusion criteria have been chosen with regard to study designs, in order to collect all available information. Regarding the limitations, we will only include English and Spanish language studies from the last 10 years, we will not perform a grey literature search, and we will not carry out a meta-analysis due to the predictable heterogeneity of available studies.

SYSTEMATIC REVIEW REGISTRATION

This study is registered in Open Science Framework https://bit.ly/2RqKrWp.

Combining text mining with clinical decision support in clinical practice: a scoping review

OBJECTIVE

Combining text mining (TM) and clinical decision support (CDS) could improve diagnostic and therapeutic processes in clinical practice. This review summarizes current knowledge of the TM-CDS combination in clinical practice, including their intended purpose, implementation in clinical practice, and barriers to such implementation.

MATERIALS AND METHODS

A search was conducted in PubMed, EMBASE, and Cochrane Library databases to identify full-text English language studies published before January 2022 with TM-CDS combination in clinical practice.

RESULTS

Of 714 identified and screened unique publications, 39 were included. The majority of the included studies are related to diagnosis (n = 26) or prognosis (n = 11) and used a method that was developed for a specific clinical domain, document type, or application. Most of the studies selected text containing parts of the electronic health record (EHR), such as reports (41%, n = 16) and free-text narratives (36%, n = 14), and 23 studies utilized a tool that had software "developed for the study". In 15 studies, the software source was openly available. In 79% of studies, the tool was not implemented in clinical practice. Barriers to implement these tools included the complexity of natural language, EHR incompleteness, validation and performance of the tool, lack of input from an expert team, and the adoption rate among professionals.

DISCUSSION/CONCLUSIONS

The available evidence indicates that the TM-CDS combination may improve diagnostic and therapeutic processes, contributing to increased patient safety. However, further research is needed to identify barriers to implementation and the impact of such tools in clinical practice.

Identifying the Knowledge Structure and Trends of Nursing Informatics: A Text Network Analysis

With the advent of the information age and technological development, the importance of digital health technologies has increased. Subsequently, nursing informatics has been developed to enhance the effectiveness of healthcare information management and communication. This study aimed to identify the nursing informatics knowledge structure and research trends through quantitative analysis using text network analysis. Here, we analyzed 14 225 studies published by 2020. The knowledge structure of nursing informatics and changes therein were clarified by identifying and analyzing the core keywords, topics, and changes in the topics of related studies over time. We identified "patient," "health," "system," and "information" as core keywords connecting other keywords. Over time, the networks between "information," "communication," and "technology" strengthened, and "patient safety" and "quality" have recently emerged as research keywords. This change indicates an increase in the importance of nursing education on technology. Similar changes appeared in the topic analysis, showing an increased proportion of research related to system and technology and nursing education. These results can broaden a systematic understanding of nursing informatics research. Furthermore, given these findings, the importance of nursing informatics on patient safety and nursing education-based on the development of systems and technology-can be expected to continue growing.

Optimizing Pediatric Patient Safety in the Emergency Care Setting

Patient safety is the foundation of high-quality health care and remains a critical priority for all clinicians caring for children. There are numerous aspects of pediatric care that increase the risk of patient harm, including but not limited to risk from medication errors attributable to weight-dependent dosing and need for appropriate equipment and training. Of note, the majority of children who are ill and injured are brought to community hospital emergency departments. It is, therefore, imperative that all emergency departments practice patient safety principles, support a culture of safety, and adopt best practices to improve safety for all children seeking emergency care. This technical report outlined the challenges and resources necessary to minimize pediatric medical errors and to provide safe medical care for children of all ages in emergency care settings.

The Value of Electronic Health Records Since the Health Information Technology for Economic and Clinical Health Act: Systematic Review

Background

Electronic health records (EHRs) are the electronic records of patient health information created during ≥1 encounter in any health care setting. The Health Information Technology Act of 2009 has been a major driver of the adoption and implementation of EHRs in the United States. Given that the adoption of EHRs is a complex and expensive investment, a return on this investment is expected.

Objective

This literature review aims to focus on how the value of EHRs as an intervention is defined in relation to the elaboration of value into 2 different value outcome categories, financial and clinical outcomes, and to understand how EHRs contribute to these 2 value outcome categories.

Methods

This literature review was conducted using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The initial search of key terms, EHRs, values, financial outcomes, and clinical outcomes in 3 different databases yielded 971 articles, of which, after removing 410 (42.2%) duplicates, 561 (57.8%) were incorporated in the title and abstract screening. During the title and abstract screening phase, articles were excluded from further review phases if they met any of the following criteria: not relevant to the outcomes of interest, not relevant to EHRs, nonempirical, and non–peer reviewed. After the application of the exclusion criteria, 80 studies remained for a full-text review. After evaluating the full text of the residual 80 studies, 26 (33%) studies were excluded as they did not address the impact of EHR adoption on the outcomes of interest. Furthermore, 4 additional studies were discovered through manual reference searches and were added to the total, resulting in 58 studies for analysis. A qualitative analysis tool, ATLAS.ti. (version 8.2), was used to categorize and code the final 58 studies.

Results

The findings from the literature review indicated a combination of positive and negative impacts of EHRs on financial and clinical outcomes. Of the 58 studies surveyed for this review of the literature, 5 (9%) reported on the intersection of financial and clinical outcomes. To investigate this intersection further, the category “Value–Intersection of Financial and Clinical Outcomes” was generated. Approximately 80% (4/5) of these studies specified a positive association between EHR adoption and financial and clinical outcomes.

Conclusions

This review of the literature reports on the individual and collective value of EHRs from a financial and clinical outcomes perspective. The collective perspective examined the intersection of financial and clinical outcomes, suggesting a reversal of the current understanding of how IT investments could generate improvements in productivity, and prompted a new question to be asked about whether an increase in productivity could potentially lead to more IT investments.

Electronic unified therapy record as a clinical risk management tool in the Italian healthcare system

Digitization of health records is still struggling to take hold in the Italian healthcare context, where medical records are still largely kept manually on paper. Besides being anachronistic, this practice is particularly critical if applied to the drug chart. Poor handwriting and transcription errors can generate medication errors and thus represent a potential source of adverse events. In the present study, we attempt to test the hypothesis that the application of a computerized medical record model may represent a useful tool for managing clinical risk and medical expenditure. We shall do so through the analysis of the preliminary results of the application of such a model in two private hospitals in Northern Italy. The results, although preliminary, are encouraging. Among the benefits of digitizing drug records, we recorded a greater accuracy and adequacy of prescriptions, a reduction in the overall workload for nurses (no longer required to manually transcribe the list of drugs from one chart to another), as well as an optimization of the management of drug stocks by hospital pharmacies. The results in terms of clinical risk reduction will be monitored through a prospective cohort study that will take place in the coming months.

Characteristics and Consequences of Medication Errors in Pediatric Patients Reported to Ramathibodi Poison Center: A 10-Year Retrospective Study

Purpose

This study was performed to evaluate the clinical characteristics of, consequences of, and factors associated with medication errors (MEs) that cause harm to pediatric patients (<15 years of age) treated in the hospital setting.

Patients and Methods

We performed a 10-year retrospective study (January 2011–December 2020) by analyzing data from the Ramathibodi Poison Center. MEs were classified into categories A to I according to the severity of the outcome.

Results

In total, 121 patients were included in the study. Most (51.24%) patients were male. Their median age was 1 year (range, 1 hour–14 years). Infants, newborns, and toddlers were the three most common age groups in which MEs were reported. Most MEs occurred during the afternoon shift [n = 60 (49.59%)] and in the inpatient department (66.12%). The most common type of MEs was a dose error (64.46%). Antibiotics, sedative agents, and bronchodilators were the three most common classes of ME drugs. Four patients died. Three deaths occurred because of a dose error. One patient was a 1-year-old girl who received an iatrogenic intravenous phenytoin overdose of 10 times the normal dose, resulting in a phenytoin level of 72.4 mcg/mL. She died 22 hours after the ME occurred. The work shift was the only factor that significantly differed between patients with category C and D MEs and those with category E to I MEs.

Conclusion

Small children were at highest risk for MEs. MEs induced harm and deaths in some patients. A preventive and safety system, including appropriate shift work administration, should be emphasized and implemented to prevent and/or decrease the occurrence of MEs.

An initiative to reduce medication errors in neonatal care unit of a tertiary care hospital, Kolkata, West Bengal: a quality improvement report

Background

Medication errors are an emerging problem in various hospital settings, especially in neonates. A study conducted in the neonatal care unit of a tertiary institute in Kolkata as baseline over 3 months, revealed total error to be around 71.1/100 prescriptions (median medication error percentage: 63%).

Purpose

To assess the occurrences of medication errors and determine efficacy of Point-of-Care Quality improvement (POCQI) model in reducing the same from baseline 63% to less than 10%, in the above setting within next 9 months.

Materials and methods

This quality improvement initiative of quasi-experimental design comprised randomly selected prescriptions and monitoring sheets of neonates admitted in the neonatal care unit, obeying inclusion and exclusion criteria. Medication errors were assessed and categorised using a predesigned and pretested checklist. Interventions were planned after forming a quality improvement team in four plan–do–study–act (PDSA) cycles spanning over 6 weeks each (including training of doctors and nurses, signature and countersignatures of respective healthcare personnel, computer-generated prescriptions and newly designed software-generated prescriptions) as per POCQI model of the WHO and results in post-intervention phase (3 months) were compared.

Results

A total of 552 prescriptions and monitoring sheets of 124 neonates were studied. Median medication error percentages in first, second, third and fourth PDSA cycle were, respectively, 48%, 42%, 30% and 14%. Total error reduced to 10.4/100 prescriptions (p<0.005), with significant reduction in erred dosage, timing, interval, preparation and rate of infusion of drugs in prescriptions of the post-intervention phase.

Conclusion

Implementation of change ideas via PDSA cycles, as per the POCQI model with technological aid, significantly decreased the percentage of medication errors in neonates, which was also sustained in the post-intervention phase and facilitated error-free prescriptions.

Impact of Computerized Provider Order Entry on Chemotherapy Medication Errors: A Systematic Review

Context: Chemotherapy errors are considered the second most common cause of fatal medication errors (ME). Currently, computerized provider order entry (CPOE) is increasingly used to prevent or decrease ME and improve the safety of the medication process. Objectives: This study was conducted to systematically review the impacts of CPOE on the incidence of chemotherapy ME, the severity of errors, and adverse drug events (ADEs) in cancer care units. Data Sources: The literature search was conducted, using 5 databases of PubMed, EMBASE, Scopus, Web of Science, and ScienceDirect between 2000 and 2020. Search terms included keywords and MESH terms related to CPOE, ME, chemotherapy, and cancer care unit. Study Selection: Articles were included in this research if they investigated the CPOE system, reported ME, and were carried out in the oncology department. Non-English papers, duplications, review studies, and conference papers were excluded. Data Extraction: The selected papers were read repeatedly and related papers were extracted. All eligible articles were qualitatively evaluated with a tool provided by Downs. The extracted information included the author’s name, year of publication, study location, type of study, study objectives, and main findings. Results: A total of 829 studies were retrieved. Fourteen articles met the inclusion criteria. Ten studies (71%) reported the impact of CPOE on chemotherapy ME in comparison with the paper-based ordering method. In 4 studies (29%), researchers developed a CPOE for the oncology department, and the system was, then, assessed concerning user experience, safety challenges as well as the effects of CPOE on ME. Nine articles (64%) reported the impact of the CPOE system on ME only in the prescribing phase, and 5 studies (36%) examined ME in all phases of the chemotherapy process. Five studies (36%) reported the impact of the CPOE system on ADEs and the severity of errors. Conclusions: Implementing CPOE is associated with a significant reduction in ME in all phases of the chemotherapy process. However, the CPOE does not prevent all MEs and may cause new errors. The rigorous analysis of the chemotherapy process and considering the designing principles could help develop the CPOE systems and minimize ME.

Investigating the cognitive capacity constraints of an ICU care team using a systems engineering approach

Background

ICU operational conditions may contribute to cognitive overload and negatively impact on clinical decision making. We aimed to develop a quantitative model to investigate the association between the operational conditions and the quantity of medication orders as a measurable indicator of the multidisciplinary care team’s cognitive capacity.

Methods

The temporal data of patients at one medical ICU (MICU) of Mayo Clinic in Rochester, MN between February 2016 to March 2018 was used. This dataset includes a total of 4822 unique patients admitted to the MICU and a total of 6240 MICU admissions. Guided by the Systems Engineering Initiative for Patient Safety model, quantifiable measures attainable from electronic medical records were identified and a conceptual framework of distributed cognition in ICU was developed. Univariate piecewise Poisson regression models were built to investigate the relationship between system-level workload indicators, including patient census and patient characteristics (severity of illness, new admission, and mortality risk) and the quantity of medication orders, as the output of the care team’s decision making.

Results

Comparing the coefficients of different line segments obtained from the regression models using a generalized F-test, we identified that, when the ICU was more than 50% occupied (patient census > 18), the number of medication orders per patient per hour was significantly reduced (average = 0.74; standard deviation (SD) = 0.56 vs. average = 0.65; SD = 0.48; p < 0.001). The reduction was more pronounced (average = 0.81; SD = 0.59 vs. average = 0.63; SD = 0.47; p < 0.001), and the breakpoint shifted to a lower patient census (16 patients) when at a higher presence of severely-ill patients requiring invasive mechanical ventilation during their stay, which might be encountered in an ICU treating patients with COVID-19.

Conclusions

Our model suggests that ICU operational factors, such as admission rates and patient severity of illness may impact the critical care team’s cognitive function and result in changes in the production of medication orders. The results of this analysis heighten the importance of increasing situational awareness of the care team to detect and react to changing circumstances in the ICU that may contribute to cognitive overload.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12871-021-01548-7.

Relationship Between Pharmaceutical Knowledge and Probability of Medication Errors Among Nurses: A Cross-sectional Study in the Northwest of Iran in 2020

Background: Patient safety is a major concern for health care professionals. Medication errors have been considered a major indicator of health care quality. The lack of pharmacological knowledge is a cause of medication error among nurses. Objectives: The purpose of this study was to investigate the relationship between pharmacological knowledge and the probability of medical errors in nurses working in Urmia hospitals in 2020. Methods: This cross-sectional study included 490 nurses randomly selected from among those working in hospitals of Urmia in 2020. The data collection tool was a multiple-choice questionnaire about knowledge and pharmacological skills consisting of 3 sections: demographic information, nurses’ drug knowledge, and the confidence level of response in nurses. To analyze questions and hypotheses via SPSS version 21, the t-test and analysis of variance (ANOVA) were employed. Results: The highest pharmaceutical knowledge scores of nurses were related to methods of administration (2.9 ± 1.01 [72.56%]), and the lowest score was related to drug management (1.05 ± 0.63 [52.84%]). The mean of error probability was very low in 28.81% of nurses, low in 37.66%, high in 11.34%, and very high in 22.85%. Pharmaceutical knowledge had a significant relationship with gender, wards, type of hospital, and number of children (P < 0.05 for all). Conclusions: Since the nurses’ level of pharmaceutical knowledge has an important role in the correct prescription of medicine, we suggest that nurse managers and educational supervisors in the field of nursing use in-service training programs and prepare training booklets and posters to promote nurses’ pharmaceutical knowledge in this field.

Implementing computerized physician order entry in a public tertiary care hospital

It is reported that at least one medication error per day occurs in hospitalized patients. Medication errors are not only harmful but also expensive. Prescription review by pharmacists is the standard to reduce prescribing error; however, due to the manual process, pharmacists lack time to conduct prescription reviews. Computerized physician order entry (CPOE) allows clinicians to directly place medication orders electronically, transmitted directly to the pharmacy. Successfully implemented CPOE systems improve the prescribing process and result in fewer medication errors. However, regardless of its significance, implementation of CPOE is a very difficult task, particularly in a public-sector hospital. Lady Reading Hospital-Medical Teaching Institution has a manual system for indenting medication system; pharmacists could only ensure the current dispensing of medication, but lack time and information to conduct a review to ensure the appropriateness of prescription. The article entails the barriers and the process of implementation of e-prescribing.

Impact of Implementing Electronic Health Records on Medication Safety at an HIMSS Stage 6 Hospital: The Pharmacist's Perspective

Background

Medication errors can cause severe injuries and may lead to death. Electronic health records (EHRs) that are well designed and implemented could help to reduce medication errors. The medication management process needs close study to understand how medication safety metrics evolve as hospitals mature in terms of their EHR implementation.

Objective

To examine the effect of adopting EHRs on medication errors at the Royal Commission Hospital in Jubail, Saudi Arabia, a Health Information Management System Society (HIMSS) stage 6 hospital.

Methods

This study had a quasi-experimental time-series design. Retrospective data were collected for 1.5-year periods before and after implementation of EHRs. The variables analyzed were obtained from various units in the study setting. Data on medication errors were collected from the risk management section of the quality department. The medication management process was studied qualitatively. The quantitative data were analyzed using descriptive and inferential statistics.

Results

The median number of medication orders per patient showed a significant decrease, from 22.76 before EHR implementation to 18.76 after implementation (p < 0.001). The median number of incidents per patient showed a significant increase, from 0.029 before to 0.040 after implementation (p = 0.004). The qualitative analysis of processes involved in the medication management process helped to explain these changes.

Conclusion

Contrary to expectations, this study showed that an HIMSS stage 6 hospital could experience an increase in medication errors following implementation of EHRs. Qualitative analysis showed that the increase in medication error reporting rate could be attributed to an increase in detection following improvement in the medication management process. This has implications for interpreting quality metrics as hospitals mature in terms of their EHR implementation.

Use of Electronic Health Information Technology in a National Sample of Hospitals That Provide Specialty Substance Use Care

OBJECTIVE

Most U.S. acute care hospitals have adopted basic electronic health record (EHR) functionality and health information exchange (HIE) (84% and 88%, respectively, in 2017). This study examined whether rates of EHR and HIE adoption by hospital-based substance use disorder programs are lower than rates by acute care hospitals.

METHODS

Data from the 2017 National Survey on Substance Abuse Treatment Services were analyzed to examine adoption of basic EHR functionality (i.e., assessment, progress monitoring, discharge, labs, and prescription dispensing) and use of HIE by hospital-based programs. Analyses used weighted multivariable models of EHR and HIE outcomes, adjusted for nonresponse.

RESULTS

Of 894 hospital-based substance use disorder programs with EHR information, two-thirds (N=606, 68%) reported use of basic EHR functionality. Psychiatric hospitals were less likely than acute care hospitals to have adopted EHR (odds ratio [OR]=0.49, 95% confidence interval [CI]=0.35-0.71). Compared with nonprofit hospitals, for-profit (OR=0.23, 95% CI=0.16-0.35) and government-owned (OR=0.52, 95% CI=0.33-0.83) hospitals were less likely to use basic EHR functionality. Hospital-based programs providing medications for alcohol or opioid use disorders were more likely than those not providing such medications to use basic EHR (OR=1.95, 95% CI=1.31-2.90). Of 839 hospitals with information on HIE use, 598 (71%) reported using electronic HIE. Adoption of basic EHR functionality was the strongest predictor of HIE use (OR=4.73, 95% CI=3.29-6.79).

CONCLUSIONS

Hospital-based substance use disorder programs trail behind U.S. acute care hospitals in adoption of basic EHR and electronic HIE. Findings raise concerns about missed opportunities to improve hospital-based substance use disorder care quality and performance measurement.

Identifying Health Information Technology Usability Issues Contributing to Medication Errors Across Medication Process Stages

OBJECTIVE

Different health information technology (health IT) systems are intended to support medication ordering, reviewing, and administration. We sought to identify the types of medication errors associated with health IT use, whether they reached the patient, where in the medication process those errors occurred, and the specific usability issues contributing to those errors.

METHODS

Patient safety event reports from more than 595 healthcare facilities entered between January 2013 and September 2018 were analyzed. We computationally identified reports associated with health IT intended to support the medication process, including computerized provider order entry, electronic medication administration record, and barcode medication administration. From these, 2700 reports were manually reviewed to determine the type of medication error, medication process stage, and health IT usability issue.

RESULTS

Of the 2700 manually reviewed reports, 1508 (55.9%) described a medication error that was associated with health IT use and 750 (49.7%) reached the patient. Improper dose errors were frequent (1214 of 1508, 80.5%) with most errors during ordering (673 of 1508, 44.6%) and reviewing medications (639 of 1508, 42.4%). Most health IT-associated medication error reports described usability issues (n = 1468 of 1508, 97.3%) including data entry, workflow support, and alerting. Data entry usability issues impacted few medication process stages, whereas workflow support and alerting impacted several stages.

CONCLUSIONS

Health IT usability issues are a prevalent contributing factor to medication errors, many of which reach the patient. Data entry, workflow support, and alerting should be prioritized during usability and safety optimization efforts.

Electronic Medication Management Systems: Analysis of Enhancements to Reduce Errors and Improve Workflow

BACKGROUND

Electronic medication management (eMM) has been shown to reduce medication errors; however, new safety risks have also been introduced that are associated with system use. No research has specifically examined the changes made to eMM systems to mitigate these risks.

OBJECTIVES

To (1) identify system-related medication errors or workflow blocks that were the target of eMM system updates, including the types of medications involved, and (2) describe and classify the system enhancements made to target these risks.

METHODS

In this retrospective qualitative study, documents detailing updates made from November 2014 to December 2019 to an eMM system were reviewed. Medication-related updates were classified according to "rationale for changes" and "changes made to the system."

RESULTS

One hundred and seventeen updates, totaling 147 individual changes, were made to the eMM system over the 4-year period. The most frequent reasons for changes being made to the eMM were to prevent medication errors (24% of reasons), optimize workflow (22%), and support "work as done" on paper (16%). The most frequent changes made to the eMM were options added to lists (14% of all changes), extra information made available on the screen (8%), and the wording or phrasing of text modified (8%). Approximately a third of the updates (37%) related to high-risk medications. The reasons for system changes appeared to vary over time, as eMM functionality and use expanded.

CONCLUSION

To our knowledge, this is the first study to systematically review and categorize system updates made to overcome new safety risks associated with eMM use. Optimization of eMM is an ongoing process, which changes over time as users become more familiar with the system and use is expanded to more sites. Continuous monitoring of the system is necessary to detect areas for improvement and capitalize on the benefits an electronic system can provide.

Characteristics of pharmacist's interventions triggered by prescribing errors related to computerised physician order entry in French hospitals: a cross-sectional observational study

OBJECTIVES

Computerised physician order entry (CPOE) systems facilitate the review of medication orders by pharmacists. Reports have emerged that show conception flaws or the misuse of CPOE systems generate prescribing errors. We aimed to characterise pharmacist interventions (PIs) triggered by prescribing errors identified as system-related errors (PISREs) in French hospitals.

DESIGN

This was a cross-sectional observational study based on PIs prospectively documented in the Act-IP observatory database from January 2014 to December 2018.

SETTING

PISREs from 319 French computerised healthcare facilities were analysed.

PARTICIPANTS

Among the 319 French hospitals, 232 (72.7%) performed SRE interventions, involving 652 (51%) pharmacists.

RESULTS

Among the 331 678 PIs recorded, 27 058 were qualified as due to SREs (8.2%). The main drug-related problems associated with PISREs were supratherapeutic (27.5%) and subtherapeutic dosage (17.2%), non-conformity with guidelines/contraindications (22.4%) and improper administration (17.9%). The PI prescriber acceptation rate was 78.9% for SREs vs 67.6% for other types of errors. The PISRE ratio was estimated relative to the total number of PIs. Concerning the certification status of CPOE systems, the PISRE ratio was 9.4% for non-certified systems vs 5.5% for certified systems (p<0.001). The PISRE ratio for senior pharmacists was 9.2% and that for pharmacy residents 5.4% (p<0.001). Concerning prescriptions made by graduate prescribers and those made by residents, the PISRE ratio was 8.4% and 7.8%, respectively (p<0.001).

CONCLUSION

Computer-related prescribing errors are common. The PI acceptance rate by prescribers was higher than that observed for PIs that were not CPOE related. This suggests that physicians consider the potential clinical consequences of SREs for patients to be more frequently serious than interventions unrelated to CPOE. CPOE medication review requires continual pharmacist diligence to catch these errors. The significantly lower PISRE ratio for certified software should prompt patient safety agencies to undertake studies to identify the safest software and discard software that is potentially dangerous.

The effectiveness of EMR implementation regarding reducing documentation errors and waiting time for patients in outpatient clinics: a systematic review

Background: Electronic medical records (EMRs) refer to the digital copies of paper notes prepared in the physician’s office, outpatient clinics and other departments in health care institutes. EMRs are considered to be significant and preferable to paper records because they allow providers to keep accurate track of patient data and monitoring over time, thus reducing errors, and enhance overall health care quality. The aim of this systematic review was to highlight the significance of EMRs and the effectiveness of implementation regarding reducing documentation errors and waiting time for patients in outpatient clinics.

Methods: PubMed, Central, Ovid, Scopus, Science Direct, Elsevier, Cochrane , WHO website and the McMaster University Health Evidence website from 2005-2020 were searched to identify studies that investigated the association between the EMR implementation and documentation error and waiting time for patients. A reviewer screened identified citations and extracted data according to the PRISMA guidelines and data was synthesized in a narrative manner.

Results: After full text examination of the articles selected for this literature review, the major themes of relevance that were identified in the context of reducing documentation errors and waiting time for patients in outpatient clinic include: reduction of medical errors because of fewer documentation errors resulting from EMR implementation and reduction of waiting time for patients due to overall improvement of system workflow after use of EMRs.

Conclusion: In summary of the reviewed evidence from published material, the implementation of an EMR system in any outpatient setting appears to reduce documentation errors (medication dose errors, issues of prescription errors). It was also seen that in many settings, waiting time for patients in outpatient clinics was reduced with EMR use, while in other settings it was not possible to determine if any significant improvement was seen in this aspect after EMR implementation.

A cross-sectional study on prescribing and dispensing errors at a corporate hospital in South India

BACKGROUND

The substantial and increasing use of medications escalating the risk of harm globally. The serious medication errors in hospital and community settings resulting from patient injury and death. Hence, a cross-sectional study was aimed to analyse the prescribing and dispensing errors in the outpatient departments of a south Indian hospital.

MATERIALS AND METHODS

A prospective cross-sectional study was carried out to evaluate the prescribing, and dispensing errors in outpatients who seek patient counseling at the tertiary care multispecialty hospital. The data were collected from various sources such as patient's prescriptions and dispensing records from the pharmacy.

RESULTS

A total of 500 prescriptions were screened and identified 65.60% of prescriptions with at least any one type of medication errors. Out of 328 prescriptions, 96.04% were handwritten and 3.96% were computerised prescriptions. Among the 328 prescriptions with medication errors, 32.62% noticed prescribing errors, 37.80% with dispensing errors, and 29.58% with both prescribing and dispensing errors. Out of these 328 prescriptions, 74.09% prescriptions were found to have polypharmacy.

DISCUSSION

Medication errors are serious problems in healthcare and can be a source of significant morbidity and mortality in healthcare settings. The present study showed that dispensing errors were the most common among the types of medication errors, in these particularly wrong directions were the most common types of errors.

CONCLUSION

This study concludes that the overall prevalence of medication errors was around 80%, but there were no life-threatening events observed. A clinical pharmacist can play a major role in this situation appears to be a strong intervention and early detection and prevention of medication errors and thus can improve the quality of care to the patients.

Medication safety knowledge, attitude, and practice among hospital pharmacists in tertiary care hospitals in Saudi Arabia: a multi-center study

BACKGROUND

Pharmacovigilance (PV) demarcates all actions involving the detection and prevention of adverse drug reactions (ADR) for marketed drugs. However, ADRs are considerably underreported worldwide and continue to be a major concern to health care systems. This study aims to assess the knowledge, attitude, and perception of hospital pharmacists regarding medication safety concerning PV and ADRs across multiple tertiary care centers around Saudi Arabia.

METHODS

This cross-sectional study was conducted between July 2019 and January 2020. Pharmacists working in the tertiary care centers of Riyadh City, Saudi Arabia were asked to participate in the study. A self-administered questionnaire was used to conduct this study, it consisted of: 63 questions out of which 19 questions were knowledge-based, 15 were attitude-based, and 29 were practice-based questions.

RESULTS

A total of 350 pharmacists were distributed and 289 agreed to participate, giving a response rate of 82.6%. Most pharmacists were aware of the concept of VP and its functions (96.5%) and (87.2%), respectively. Moreover, 90% said that ADR can be preventable and non-preventable. However, the findings revealed inadequate knowledge about the overall PV field, where the majority of the pharmacists failed to correctly answer questions related to independent ADRs treatment, Augmented drug reaction, the international location of ADR, and the World Health Organization "online database" for reporting ADRs. Moreover, incomplete and/or wrong answers were recorded for questions that included single or multiple correct answers. Regarding the participants" attitude, 96.9% were interested in ADR reporting, agreeing that ADR is important to enable safe drug usage. Although a general positive attitude was recorded, pharmacists have stated that the three main barriers that hinder reporting ADRs are: unavailability of information about ADRs, lack of awareness about the need to report ADRs, and lack of time. Concerning practice, 69.2% said they received training in ADRs reporting, and 70% have reported ADRs more than once a week.

CONCLUSION

Surveyed pharmacists from Riyadh hospitals showed narrow knowledge of the PV field. However, a positive attitude and satisfactory practice was observed among pharmacists. These findings warrant the need for educational programs and an encouraging environment for ADR reporting to increase ADR reporting rates and support PV activities in Saudi Arabia.

Effectiveness, safety and implementation results of the strategies aimed at the safe prescription of medications in university hospitals in adult patients. Systematic review

Introduction: A broad range of practices aimed at improving the effectives and safety of this process have been documented over the past few years. Objective: to establish the effectiveness, safety and results of the implementation of these strategies in adult patients in university hospitals. Methodology: A review of systematic reviews was conducted, in addition to a database search in the Cochrane Library of Systematic Reviews, Embase, Epistemonikos, LILACS and gray literature. Any strategy aimed at reducing prescription-associated risks was included as intervention. This review followed the protocol registered in the International Prospective Registry of Systematic Reviews (PROSPERO): CRD42020165143. Results: 7,637 studies were identified, upon deleting duplicate references. After excluding records based on titles and abstracts, 111 full texts were assessed for eligibility. Fifteen studies were included in the review. Several interventions grouped into 5 strategies addressed to the prescription process were identified; the use of computerized medical order entry systems (CPOE), whether integrated or not with computerized decision support systems (CDSS), was the most effective approach. Conclusions: The beneficial effects of the interventions intended to the prescription process in terms of efficacy were identified; however, safety and implementation results were not thoroughly assessed. The heterogeneity of the studies and the low quality of the reviews, preclude a meta-analysis.

Design, development, and deployment of an indication- and kidney function-based decision support tool to optimize treatment and reduce medication dosing errors

Delivering clinical decision support (CDS) at the point of care has long been considered a major advantage of computerized physician order entry (CPOE). Despite the widespread implementation of CPOE, medication ordering errors and associated adverse events still occur at an unacceptable level. Previous attempts at indication- and kidney function-based dosing have mostly employed intrusive CDS, including interruptive alerts with poor usability. This descriptive work describes the design, development, and deployment of the Adult Dosing Methodology (ADM) module, a novel CDS tool that provides indication- and kidney-based dosing at the time of order entry. Inclusion of several antimicrobials in the initial set of medications allowed for the additional goal of optimizing therapy duration for appropriate antimicrobial stewardship. The CDS aims to decrease order entry errors and burden on providers by offering automatic dose and frequency recommendations, integration within the native electronic health record, and reasonable knowledge maintenance requirements. Following implementation, early utilization demonstrated high acceptance of automated recommendations, with up to 96% of provided automated recommendations accepted by users.

Differences in Total and After-hours Electronic Health Record Time Across Ambulatory Specialties

This cross-sectional study measures clinicians’ time spent using electronic health records by specialty and the activities performed.

The use of a metacognition and contemplation intervention in improving student abilities to recognize order entry errors

BACKGROUND AND PURPOSE

To describe a pilot study testing a metacognition and contemplative pedagogy intervention designed to improve student abilities to identify errors on orders entered into a computerized provider order entry (CPOE) system. Educational activity and setting: Student teams worked up five patient cases and entered new orders into a CPOE system. All orders entered by teams were analyzed for errors and faculty members identified fifteen orders representing the top errors and selected these for the pre-exercise, in-class contemplation activity, and post-exercise. Course instructors instructed students to identify all errors on these orders. Students completed a pre/post-survey rating their ability to enter new orders. Two weeks later, students worked up a new patient case and entered orders into the CPOE. These orders were graded and scores were compared to the 2017 cohort to determine any differences in error rates.

FINDINGS

Study participants included 205 students The average score of correctly identified errors increased from 22% on the pre-exercise to 62.8% on the post-exercise. On the survey of their skills, students rated their ability to "accurately enter medication orders into the [electronic health record] EHR" more highly after the intervention. The 2017 cohort made 73 errors on 170 orders compared to 45 errors on 165 orders by the 2018 cohort.

SUMMARY

Based on improvements in student ability to identify order entry errors and overall positive student feedback, this strategy may be adopted by other educators looking to improve student identification of errors on orders entered into a CPOE system.

The tradeoffs between safety and alert fatigue: Data from a national evaluation of hospital medication-related clinical decision support

OBJECTIVE

The study sought to evaluate the overall performance of hospitals that used the Computerized Physician Order Entry Evaluation Tool in both 2017 and 2018, along with their performance against fatal orders and nuisance orders.

MATERIALS AND METHODS

We evaluated 1599 hospitals that took the test in both 2017 and 2018 by using their overall percentage scores on the test, along with the percentage of fatal orders appropriately alerted on, and the percentage of nuisance orders incorrectly alerted on.

RESULTS

Hospitals showed overall improvement; the mean score in 2017 was 58.1%, and this increased to 66.2% in 2018. Fatal order performance improved slightly from 78.8% to 83.0% (P < .001), though there was almost no change in nuisance order performance (89.0% to 89.7%; P = .43). Hospitals alerting on one or more nuisance orders had a 3-percentage-point increase in their overall score.

DISCUSSION

Despite the improvement of overall scores in 2017 and 2018, there was little improvement in fatal order performance, suggesting that hospitals are not targeting the deadliest orders first. Nuisance order performance showed almost no improvement, and some hospitals may be achieving higher scores by overalerting, suggesting that the thresholds for which alerts are fired from are too low.

CONCLUSIONS

Although hospitals improved overall from 2017 to 2018, there is still important room for improvement for both fatal and nuisance orders. Hospitals that incorrectly alerted on one or more nuisance orders had slightly higher overall performance, suggesting that some hospitals may be achieving higher scores at the cost of overalerting, which has the potential to cause clinician burnout and even worsen safety.

Optimizing pharmacists' detection of prescribing errors: Comparison of on-ward and central pharmacy services

WHAT IS KNOWN AND OBJECTIVE

Prescribing errors are the leading cause of adverse drug events in hospitalized patients. Pharmaceutical validation, defined as the review of drug orders by a pharmacist, associated with clinical decision support (CDS) systems, significantly reduces these errors and adverse drug events. In Belgium, because clinical pharmacy services have limited public financial support, most pharmaceutical validations are performed at the central pharmacy instead of on-ward, by hospital pharmacists doing dispensing activities. In that context, we aimed at evaluating whether the strategy of CDS-guided central validation was the most appropriate method to improve the quality and safety of medicines' use compared to an on-ward pharmaceutical validation.

METHODS

Our retrospective observational study was conducted in a Belgian tertiary care hospital, in 2018-2019. Data were extracted from our validation software and pharmacists' charts. The outcomes of the study were the number of pharmaceutical interventions due to the detection of prescribing errors, reasons for interventions, their acceptance rate and their potential clinical impact (according to two blinded experts) in the central pharmacy and on-ward validation groups.

RESULTS AND DISCUSSION

Despite the use of the same CDS, a pharmaceutical intervention following the detection of a prescribing error was made for 2.9% (20/698) of central group patients and 13.3% (93/701) of on-ward patients (χ²  = 49.97, p < 0.001). Interventions made at the central pharmacy (n = 20) mostly relied on CDS-alerts (i.e. drug-drug interaction [25%] or overdosing [20%]) while interventions made on-ward (n = 93) were also for pharmacotherapy optimization (i.e. no valid indication [25%] or inappropriate drug's choice [11%]). The on-ward validation group showed a higher acceptance rate compared to the central group (84% and 65%, respectively [Fisher's test, p = 0.053]). Proportions of interventions with significant or very significant clinical impact were similar between the two groups but as fewer interventions were made centrally, a significant proportion of errors were probably not detected by the central validation.

WHAT IS NEW AND CONCLUSION

On-ward pharmaceutical validation leads to a higher rate of prescribing error detection. Pharmaceutical interventions made by on-ward pharmacists are also better accepted and more relevant, going further than CDS-alerts.

The Development and Piloting of the Ambulatory Electronic Health Record Evaluation Tool: Lessons Learned

BACKGROUND

Substantial research has been performed about the impact of computerized physician order entry on medication safety in the inpatient setting; however, relatively little has been done in ambulatory care, where most medications are prescribed.

OBJECTIVE

To outline the development and piloting process of the Ambulatory Electronic Health Record (EHR) Evaluation Tool and to report the quantitative and qualitative results from the pilot.

METHODS

The Ambulatory EHR Evaluation Tool closely mirrors the inpatient version of the tool, which is administered by The Leapfrog Group. The tool was piloted with seven clinics in the United States, each using a different EHR. The tool consists of a medication safety test and a medication reconciliation module. For the medication test, clinics entered test patients and associated test orders into their EHR and recorded any decision support they received. An overall percentage score of unsafe orders detected, and order category scores were provided to clinics. For the medication reconciliation module, clinics demonstrated how their EHR electronically detected discrepancies between two medication lists.

RESULTS

For the medication safety test, the clinics correctly alerted on 54.6% of unsafe medication orders. Clinics scored highest in the drug allergy (100%) and drug-drug interaction (89.3%) categories. Lower scoring categories included drug age (39.3%) and therapeutic duplication (39.3%). None of the clinics alerted for the drug laboratory or drug monitoring orders. In the medication reconciliation module, three (42.8%) clinics had an EHR-based medication reconciliation function; however, only one of those clinics could demonstrate it during the pilot.

CONCLUSION

Clinics struggled in areas of advanced decision support such as drug age, drug laboratory, and drub monitoring. Most clinics did not have an EHR-based medication reconciliation function and this process was dependent on accessing patients' medication lists. Wider use of this tool could improve outpatient medication safety and can inform vendors about areas of improvement.

Three-month follow-up effects of a medication management program on nurses' knowledge

This quasi-experimental study examined the effects of a medication management program on nurses knowledge of medication management, three months after program completion. Fifty-seven nurses took a multiple-choice test both immediately after the program and three months later. Changes in test performance were assessed using McNemar's test and generalized estimating equations for binary outcomes. Test results were generally consistent from immediately post-program to three months later, though four items differed significantly. From immediately post-program to three months later, fewer nurses correctly answered the items: documenting no medication administration (98.2 vs 86.6, p = 0.04); documenting opioid administration (56.1 vs 33.3, p = 0.01); and observation after opioid administration (35.1 vs 19.3, p = 0.08. Significantly more nurses correctly answered the item concerning the pharmacology of medication administered with food (64.9 vs 77.2, p = 0.09). We recommend both continuous medication management training and focusing on the correspondence between theory-based knowledge and clinical practice routines.

Medication errors: a focus on nursing practice

Objectives

Health departments endeavor to give care to individuals to remain in healthy conditions. Medications errors (MEs), one of the most types of medical errors, could be venomous in clinical settings. Patients will be harmed physically and psychologically, in addition to adverse economic consequences. Reviewing and understanding the topic of medication error especially by nurses can help in advancing the medical services to patients.

Methods

A search using search engines such as PubMed and Google scholar were used in finding articles related to the review topic.

Key findings

This review highlighted the classifications of MEs, their types, outcomes, reporting process, and the strategies of error avoidance. This summary can bridge and open gates of awareness on how to deal with and prevent error occurrences. It highlights the importance of reporting strategies as mainstay prevention methods for medication errors.

Conclusions

Medication errors are classified based on multifaceted criteria and there is a need to standardize the recommendations and make them a central goal all over the globe for the best practice. Nurses are the frontlines of clinical settings, encouraged to be one integrated body to prevent the occurrence of medication errors. Thus, systemizing the guidelines are required such as education and training, independent double checks, standardized procedures, follow the five rights, documentation, keep lines of communication open, inform patients of drug they receive, follow strict guidelines, improve labeling and package format, focus on the work environment, reduce workload, ways to avoid distraction, fix the faulty system, enhancing job security for nurses, create a cultural blame-free workspace, as well as hospital administration, should support and revise processes of error reporting, and spread the awareness of the importance of reporting.

Medication errors related to computerized provider order entry systems in hospitals and how they change over time: A narrative review

BACKGROUND

Evaluations of computerized provider order entry (CPOE) systems have revealed that reductions in certain types of medication errors occur simultaneously with the emergence of system-related errors - errors that are unlikely or not possible to occur with the use of paper-based medication charts. System-related errors appear to persist many years post-implementation of CPOE, although little is known about whether the types and rates of system-related errors that occur immediately following CPOE implementation are similar to those that endure or emerge after years of system use.

OBJECTIVE

To analyze and synthesize the literature on system-related errors, specifically in relation to the length of time that CPOE systems have been in use, to determine what is currently known about how system-related errors change over time.

METHODS

A literature search was undertaken using the PubMed database to identify English language articles published between January 2005 and March 2020 that provided original data on system-related errors resulting from CPOE system use. Studies were included if they provided results on system-related errors and information relating to the length of time that CPOE had been in use.

RESULTS

Thirty-one studies met the inclusion criteria for this narrative review. System-related errors were identified and described during short, medium and long-term use of CPOE systems, but no single study examined how errors changed over time. In comparing findings across studies, results suggest that system-related errors persist with long-term use of CPOE systems, although likely to occur at a reduced rate.

CONCLUSIONS

This review has highlighted a significant gap in knowledge on how system-related errors change over time. Determining what and when system-related errors occur and the system factors that contribute to their occurrence at different time points after CPOE implementation is necessary for the future prevention and mitigation of these errors.

Identifying dispensing errors in pharmacies in a medical science school in Trinidad and Tobago

BACKGROUND

A dispensing error can be defined as an inconsistency between the drug prescribed and drug dispensed to a patient. These errors can lead to ineffective and sometimes unwanted pharmaceutical outcomes. Dispensing errors can be harmful or even fatal to patients.

CASE PRESENTATION

The objective to this study was (a) to determine the types and frequency of dispensing errors at the Eric Williams Medical Sciences Complex (EWMSC), (b) to explore the reasons for the occurrence of dispensing errors, and (c) to make suitable recommendations for their prevention. An observational study for a period of 2 weeks was carried out at various in- and outpatient departments of the EWMSC. The observations were carried out during 7:00 am to 3:00 pm. Dispensing errors identified during this period were recorded and analyzed.

RESULTS

Sixty-eight errors were identified in the adult outpatient pharmacy of the EWMSC; 19 errors in the pediatric outpatient pharmacy, whereas 22 errors were found in inpatient pharmacy. The most common plausible causes for the dispensing errors include high workload, failure to verify patient information, incorrect data in the pharmacy's record system, inadequate notes made by pharmacists during prior patient visit, and in a few cases, uncomfortable working conditions.

CONCLUSION

Dispensing errors were encountered in 2.1% of all the prescriptions filled at the EWMSC pharmacies. The factors which influenced these dispensing errors include but are not limited to a heavy workload, distractions, failure to verify patient information, and uncomfortable working conditions.