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Miake-Lye IM, Cogan AM, Mak S, Brunner J, Rinne S, Brayton CE, Krones A, Ross TE, Burton JT, Weiner M. Transitioning from One Electronic Health Record to Another: A Systematic Review. J Gen Intern Med 2023; 38:956-964. [PMID: 37798580 PMCID: PMC10593710 DOI: 10.1007/s11606-023-08276-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 06/13/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND Transitioning to a new electronic health record (EHR) presents different challenges than transitions from paper to electronic records. We synthesized the body of peer-reviewed literature on EHR-to-EHR transitions to evaluate the generalizability of published work and identify knowledge gaps where more evidence is needed. METHODS We conducted a broad search in PubMed through July 2022 and collected all publications from two prior reviews. Peer-reviewed publications reporting on data from an EHR-to-EHR transition were included. We extracted data on study design, setting, sample size, EHR systems involved, dates of transition and data collection, outcomes reported, and key findings. RESULTS The 40 included publications were grouped into thematic categories for narrative synthesis: clinical care outcomes (n = 15), provider perspectives (n = 11), data migration (n = 8), patient experience (n = 4), and other topics (n = 5). Many studies described single sites that are early adopters of technology with robust research resources, switching from a homegrown system to a commercial system, and emphasized the dynamic effect of transitioning on important clinical care and other outcomes over time. DISCUSSION The published literature represents a heterogeneous mix of study designs and outcome measures, and while some of the stronger studies in this review used longitudinal approaches to compare outcomes across more sites, the current literature is primarily descriptive and is not designed to offer recommendations that can guide future EHR transitions. Transitioning from one EHR to another constitutes a major organizational change that requires nearly every person in the organization to change how they do their work. Future research should include human factors as well as diverse methodological approaches such as mixed methods and implementation science.
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Affiliation(s)
- Isomi M Miake-Lye
- Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
- Department of Health Policy and Management, UCLA Fielding School of Public Health, Los Angeles, CA, USA.
| | - Alison M Cogan
- Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
- Mrs. T. H. Chan Division of Occupational Science and Occupational Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA
| | - Selene Mak
- Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Julian Brunner
- Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Seppo Rinne
- Center for Healthcare Organization and Implementation Research (CHOIR), VA Bedford Healthcare System, Bedford, MA, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Catherine E Brayton
- Center for the Study of Healthcare Innovation, Implementation and Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Ariella Krones
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Department of Pulmonary and Critical Care Medicine, VA West Roxbury Medical Center, West Roxbury, MA, USA
| | - Travis E Ross
- Pain Research, Informatics, Multi-Morbidities, and Education (PRIME) Center, VA West Haven Medical Center, West Haven, CT, USA
- Yale Center for Medical Informatics, New Haven, CT, USA
| | - Jason T Burton
- Louise M. Darling Biomedical Library, University of California Los Angeles, Los Angeles, CA, USA
| | - Michael Weiner
- Center for Health Information and Communication, Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service CIN 13-416, Richard L. Roudebush VA Medical Center, IN, Indianapolis, USA
- Regenstrief Institute, Inc., Indianapolis, IN, USA
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
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Ahlness EA, Orlander J, Brunner J, Cutrona SL, Kim B, Molloy-Paolillo BK, Rinne ST, Rucci J, Sayre G, Anderson E. "Everything's so Role-Specific": VA Employee Perspectives' on Electronic Health Record (EHR) Transition Implications for Roles and Responsibilities. J Gen Intern Med 2023; 38:991-998. [PMID: 37798577 PMCID: PMC10593626 DOI: 10.1007/s11606-023-08282-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 06/13/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND Electronic health record (EHR) transitions are increasingly widespread and often highly disruptive. It is imperative we learn from past experiences to anticipate and mitigate such disruptions. Veterans Affairs (VA) is undergoing a large-scale transition from its homegrown EHR (CPRS/Vista) to a commercial EHR (Cerner), creating a unique opportunity of shedding light on large-scale EHR-to-EHR transition challenges. OBJECTIVE To explore one facet of the organizational impact of VA's EHR transition: its implications for employees' roles and responsibilities at the first VA site to implement Cerner Millennium EHR. DESIGN As part of a formative evaluation of frontline staff experiences with VA's EHR transition, we conducted brief (~ 15 min) and full-length interviews (~ 60 min) with clinicians and staff at Mann-Grandstaff VA Medical Center in Spokane, WA, before, during, and after transition (July 2020-November 2021). PARTICIPANTS We conducted 111 interviews with 26 Spokane clinicians and staff, recruited via snowball sampling. APPROACH We conducted audio interviews using a semi-structured guide with grounded prompts. We coded interview transcripts using a priori and emergent codes, followed by qualitative content analysis. KEY RESULTS Unlike VA's previous EHR, Cerner imposes additional restrictions on access to its EHR functionality based upon "roles" assigned to users. Participants described a mismatch between established institutional duties and their EHR permissions, unanticipated changes in scope of duties brought upon by the transition, as well as impediments to communication and collaboration due to different role-based views. CONCLUSIONS Health systems should anticipate substantive impacts on professional workflows when EHR role settings do not reflect prior workflows. Such changes may increase user error, dissatisfaction, and patient care disruptions. To mitigate employee dissatisfaction and safety risks, health systems should proactively plan for and communicate about expected modifications and monitor for unintended role-related consequences of EHR transitions, while vendors should ensure accurate role configuration and assignment.
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Affiliation(s)
- Ellen A Ahlness
- Center of Innovation for Veteran-Centered and Value-Driven Care, Seattle VA Medical Center, Seattle, WA, USA.
| | - Jay Orlander
- Medical Service, VA Boston Healthcare System, Boston, MA, USA
- Section of General Internal Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Julian Brunner
- Center for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Health Care, Los Angeles, CA, USA
| | - Sarah L Cutrona
- Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, USA
- Division of Health Informatics & Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Bo Kim
- Center for Healthcare Organization and Implementation Research, VA Boston Health Care System, Boston, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Brianne K Molloy-Paolillo
- Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, USA
| | - Seppo T Rinne
- Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, USA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Justin Rucci
- Center for Healthcare Organization and Implementation Research, VA Boston Health Care System, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - George Sayre
- Center of Innovation for Veteran-Centered and Value-Driven Care, Seattle VA Medical Center, Seattle, WA, USA
- University of Washington School of Public Health, Seattle, WA, USA
| | - Ekaterina Anderson
- Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, USA
- Division of Health Informatics & Implementation Science, Department of Population and Quantitative Health Sciences, University of Massachusetts Chan Medical School, Worcester, MA, USA
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Bates DW, Ratwani R. Electronic Health Record Transitions-How to Make Them Work. J Gen Intern Med 2023; 38:946-948. [PMID: 37798586 PMCID: PMC10593672 DOI: 10.1007/s11606-023-08329-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Affiliation(s)
- David W Bates
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, USA.
| | - Raj Ratwani
- MedStar National Center for Human Factors Engineering in Healthcare, MedStar Health, Washington, DC, USA
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Rabbani N, Pageler NM, Hoffman JM, Longhurst C, Sharek PJ. Association between Electronic Health Record Implementations and Hospital-Acquired Conditions in Pediatric Hospitals. Appl Clin Inform 2023; 14:521-527. [PMID: 37075806 PMCID: PMC10338103 DOI: 10.1055/a-2077-4419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 04/17/2023] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND Implementing an electronic health record (EHR) is one of the most disruptive operational tasks a health system can undergo. Despite anecdotal reports of adverse events around the time of EHR implementations, there is limited corroborating research, particularly in pediatrics. We utilized data from Solutions for Patient Safety (SPS), a network of 145+ children's hospitals that share data and protocols to reduce harm in pediatric care delivery, to study the impact of EHR implementations on patient safety. OBJECTIVE Determine if there is an association between the time immediately surrounding an EHR implementation and hospital-acquired conditions (HACs) rates in pediatrics. METHODS A survey of information technology leaders at pediatric institutions identified EHR implementations occurring between 2012 and 2022. This list was cross-referenced with the SPS database to create an anonymized dataset of 27 sites comprising monthly HAC and care bundle compliance rates in the 7 months preceding and succeeding the transition. Six HACs were analyzed: central-line associated bloodstream infection (CLABSI), catheter-associated urinary tract infection (CAUTI), adverse drug events, surgical site infections (SSIs), pressure injuries (PIs), and falls, in addition to four associated care bundle compliance rates: CLABSI and CAUTI maintenance bundles, SSI bundle, and PI bundle. To determine if there was a statistically significant association with EHR implementation, the observation period was divided into three eras: "before" (months -7 to -3), "during" (months -2 to +2), and "after" go-live (months +3 to +7). Average monthly HAC and bundle compliance rates were calculated across eras. Paired t-tests were performed to compare rates between the eras. RESULTS No statistically significant increase in HAC rates or decrease in bundle compliance rates was observed across the EHR implementation eras. CONCLUSION This multisite study detected no significant increase in HACs and no decrease in preventive care bundle compliance in the months surrounding an EHR implementation.
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Affiliation(s)
- Naveed Rabbani
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, United States
| | - Natalie M. Pageler
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, United States
| | - James M. Hoffman
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, United States
| | - Chris Longhurst
- Department of Biomedical Informatics, University of California San Diego Health, La Jolla, California, United States
| | - Paul J. Sharek
- Center for Quality and Patient Safety, Seattle Children's, Seattle, Washington, United States
- Department of Pediatrics, University of Washington, Seattle, Washington, United States
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Hamadi HY, Niazi SK, Zhao M, Spaulding A. Single-Vendor Electronic Health Record Use Is Associated With Greater Opportunities for Organizational and Clinical Care Improvements. Mayo Clin Proc Innov Qual Outcomes 2022; 6:269-278. [PMID: 35669522 PMCID: PMC9163586 DOI: 10.1016/j.mayocpiqo.2022.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Objective To compare how hospitals that use single-vendor vs best-of-breed electronic health record (EHR) vendors utilize clinical and organizational evaluation capabilities. Methods Data from the 2018 (June 1, 2016, to December 31, 2017) American Hospital Association Information Technology Supplement Survey and Medicare Final Rule Standardizing File were used. Multinomial logistic regression analysis of hospitals (n=1902) was conducted to identify hospital characteristics associated with the use of EHRs for (1) clinical care evaluation capabilities and (2) organizational evaluation capabilities. Results Single-vendor EHR hospitals were more likely (relative risk ratio, 3.37; 95% confidence interval, 1.97-5.76) to use EHRs for clinical care and organizational evaluation capabilities. Not-for-profit hospitals were more likely to use EHRs for all organizational evaluation capabilities than government nonfederal hospitals. For-profit hospitals were less likely to use EHRs for organizational or clinical evaluation capabilities than government nonfederal hospitals. Conclusion Hospitals using the single-vendor EHR system were more likely to engage in clinical care and organizational evaluation than hospitals using best-of-breed EHR systems.
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Affiliation(s)
- Hanadi Y Hamadi
- Department of Health Administration, University of North Florida, Jacksonville, FL
| | - Shehzad K Niazi
- Department of Psychiatry and Psychology, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL
| | - Mei Zhao
- Department of Health Administration, University of North Florida, Jacksonville, FL
| | - Aaron Spaulding
- Division of Health Care Delivery, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL
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Likka MH, Kurihara Y. Analysis of the Effects of Electronic Medical Records and a Payment Scheme on the Length of Hospital Stay. Healthc Inform Res 2022; 28:35-45. [PMID: 35172089 PMCID: PMC8850176 DOI: 10.4258/hir.2022.28.1.35] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 10/04/2021] [Indexed: 11/23/2022] Open
Abstract
Objectives: This study analyzed the effects of computerization of medical information systems and a hospital payment scheme on medical care outcomes. Specifically, we examined the effects of Electronic Medical Records (EMRs) and a diagnosis procedure combination/per-diem payment scheme (DPC/PDPS) on the average length of hospital stay (ALOS).Methods: Post-intervention changes in the monthly ALOS were measured using an interrupted time-series analysis.Results: The level changes observed in the monthly ALOS immediately post-DPC/PDPS were –1.942 (95% confidence interval [CI], –2.856 to –1.028), –1.885 (95% CI, –3.176 to –0.593), –1.581 (95% CI, –3.081 to –0.082) and –2.461 (95% CI, –3.817 to 1.105) days in all ages, <50, 50–64, and ≥65 years, respectively. During the post-DPC/PDPS period, trends of 0.107 (95% CI, 0.069 to 0.144), 0.048 (95% CI, –0.006 to 0.101), 0.183 (95% CI, 0.122 to 0.245) and 0.110 (95% CI, 0.054 to 0.167) days/month, respectively, were observed. During the post-EMR period, trends of –0.053 (95% CI, –0.080 to –0.027), –0.093 (95% CI, –0.135 to –0.052), and –0.049 (95% CI, –0.087 to –0.012) days/month were seen for all ages, 50–64 and ≥65 years, respectively.Conclusions: The increasing post-DPC/PDPS trends offset the decline in ALOS observed immediately post-DPC/PDPS, and the observed ALOS was longer than the counterfactual at the end of the DPC/PDPS study periods. Conversely, due to the downward trend seen after EMR introduction, the actual ALOS at the end of the EMR study period was shorter than the counterfactual, suggesting that EMRs might be more effective than the DPC/PDPS in sustainably reducing the LOS.
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Affiliation(s)
- Melaku Haile Likka
- Information Healthcare Science Course, Graduate School of Integrated Arts and Sciences, Kochi University, Kochi,
Japan
| | - Yukio Kurihara
- Healthcare Informatics Division, Basic Nursing Department, Medical School, Kochi University, Kochi,
Japan
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Lee Y, Bahn S, Shin GW, Jung MY, Park T, Cho I, Lee JH. Development of safety and usability guideline for clinical information system. Medicine (Baltimore) 2021; 100:e25276. [PMID: 33787612 PMCID: PMC8021279 DOI: 10.1097/md.0000000000025276] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 03/03/2021] [Indexed: 01/04/2023] Open
Abstract
Clinical information systems (CISs) that do not consider usability and safety could lead to harmful events. Therefore, we aimed to develop a safety and usability guideline of CISs that is comprehensive for both users and developers. And the guideline was categorized to apply actual clinical workflow and work environment.The guideline components were extracted through a systematic review of the articles published between 2000 and 2015, and existing CIS safety and/or usability design guidelines. The guideline components were categorized according to clinical workflow and types of user interface (UI). The contents of the guideline were evaluated and validated by experts with 3 specialties: medical informatics, patient safety, and human engineering.Total 1276 guideline components were extracted through article and guideline review. Of these, 464 guideline components were categorized according to 5 divisions of the clinical workflow: "Data identification and selection," "Document entry," "Order entry," "Clinical decision support and alert," and "Management". While 521 guideline components were categorized according to 4 divisions of UI: UIs related to information process steps, "Perception," "Recognition," "Control," and "Feedback". We developed a guideline draft with 219 detailed guidance for clinical task and 70 for UI. Overall appropriateness and comprehensiveness were proven to achieve more than 90% in experts' survey. However, there were significant differences among the groups of specialties in the judgment of appropriateness (P < .001) and comprehensiveness (P = .038).We developed and verified a safety and usability guideline for CIS that qualifies the requirements of both clinical workflows and usability issues. The developed guideline can be a practical tool to enhance the usability and safety of CISs. Further validation is required by applying the guideline for designing the actual CIS.
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Affiliation(s)
- Yura Lee
- Department of Information Medicine, Asan Medical Center, Seoul
| | - Sangwoo Bahn
- Industrial and Management System Engineering, Kyung Hee University, Yongin
| | - Gee Won Shin
- Department of Industrial Engineering & Institute for Industrial Systems Innovation, Seoul National University
| | - Min-Young Jung
- Department of Information Medicine, Asan Medical Center, Seoul
| | - Taezoon Park
- Department of Industrial & Information Systems Engineering, Soongsil University, Seoul
| | - Insook Cho
- Nursing Department, Inha University, Incheon
| | - Jae-Ho Lee
- Department of Information Medicine, Asan Medical Center, Seoul
- Department of Emergency Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
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Ausserhofer D, Favez L, Simon M, Zúñiga F. Electronic Health Record Use in Swiss Nursing Homes and Its Association With Implicit Rationing of Nursing Care Documentation: Multicenter Cross-sectional Survey Study. JMIR Med Inform 2021; 9:e22974. [PMID: 33650983 PMCID: PMC7967228 DOI: 10.2196/22974] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 12/30/2020] [Accepted: 01/17/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Nursing homes (NHs) are increasingly implementing electronic health records (EHRs); however, little information is available on EHR use in NH settings. It remains unclear how care workers perceive its safety, quality, and efficiency, and whether EHR use might ease the burden of documentation, thereby reducing its implicit rationing. OBJECTIVE This study aims to describe nurses' perceptions regarding the usefulness of the EHR system and whether sufficient numbers of computers are available in Swiss NHs, and to explore the system's association with implicit rationing of nursing care documentation. METHODS This was a multicenter cross-sectional study using survey data from the Swiss Nursing Homes Human Resources Project 2018. It includes a convenience sample of 107 NHs, 302 care units, and 1975 care workers (ie, registered nurses and licensed practical nurses) from Switzerland's German- and French-speaking regions. Care workers completed questionnaires assessing the level of implicit rationing of nursing care documentation, their perceptions of the EHR system's usefulness and of how sufficient the number of available computers was, staffing and resource adequacy, leadership ability, and teamwork and safety climate. For analysis, we applied generalized linear mixed models, including individual-level nurse survey data and data on unit and facility characteristics. RESULTS Overall, the care workers perceived the EHR systems as useful; ratings ranged from 69.42% (1362/1962; guarantees safe care and treatment) to 78.32% (1535/1960; allows quick access to relevant information on the residents). However, less than half (914/1961, 46.61%) of the care workers reported sufficient computers on their unit to allow timely documentation. Half of the care workers responded that they sometimes or often had to ration the documentation of care. After adjusting for work environment factors and safety and teamwork climate, both higher care worker ratings of the EHR system's usefulness (β=-.12; 95% CI -0.17 to -0.06) and sufficient numbers of computers (β=-.09; 95% CI -0.12 to -0.06) were consistently associated with lower implicit rationing of nursing care documentation. CONCLUSIONS Both the usefulness of the EHR system and the number of computers available were important explanatory factors for care workers leaving care activities (eg, developing or updating nursing care plans) unfinished. NH managers should carefully select and implement their information technology infrastructure with greater involvement and attention to the needs of their care workers and residents. Further research is needed to develop and implement user-friendly information technology infrastructure in NHs and to evaluate their impact on care processes as well as resident and care worker outcomes.
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Affiliation(s)
- Dietmar Ausserhofer
- College of Health Care-Professions Claudiana, Bolzano-Bozen, Italy.,Nursing Science, Department of Public Health, University of Basel, Basel, Switzerland
| | - Lauriane Favez
- Nursing Science, Department of Public Health, University of Basel, Basel, Switzerland
| | - Michael Simon
- Nursing Science, Department of Public Health, University of Basel, Basel, Switzerland.,Nursing Research Unit, Inselspital Bern University Hospital, Bern, Switzerland
| | - Franziska Zúñiga
- Nursing Science, Department of Public Health, University of Basel, Basel, Switzerland
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Subbe CP, Tellier G, Barach P. Impact of electronic health records on predefined safety outcomes in patients admitted to hospital: a scoping review. BMJ Open 2021; 11:e047446. [PMID: 33441368 PMCID: PMC7812113 DOI: 10.1136/bmjopen-2020-047446] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVES Review available evidence for impact of electronic health records (EHRs) on predefined patient safety outcomes in interventional studies to identify gaps in current knowledge and design interventions for future research. DESIGN Scoping review to map existing evidence and identify gaps for future research. DATA SOURCES PubMed, the Cochrane Library, EMBASE, Trial registers. STUDY SELECTION Eligibility criteria: We conducted a scoping review of bibliographic databases and the grey literature of randomised and non-randomised trials describing interventions targeting a list of fourteen predefined areas of safety. The search was limited to manuscripts published between January 2008 and December 2018 of studies in adult inpatient settings and complemented by a targeted search for studies using a sample of EHR vendors. Studies were categorised according to methodology, intervention characteristics and safety outcome.Results from identified studies were grouped around common themes of safety measures. RESULTS The search yielded 583 articles of which 24 articles were included. The identified studies were largely from US academic medical centres, heterogeneous in study conduct, definitions, treatment protocols and study outcome reporting. Of the 24 included studies effective safety themes included medication reconciliation, decision support for prescribing medications, communication between teams, infection prevention and measures of EHR-specific harm. Heterogeneity of the interventions and study characteristics precluded a systematic meta-analysis. Most studies reported process measures and not patient-level safety outcomes: We found no or limited evidence in 13 of 14 predefined safety areas, with good evidence limited to medication safety. CONCLUSIONS Published evidence for EHR impact on safety outcomes from interventional studies is limited and does not permit firm conclusions regarding the full safety impact of EHRs or support recommendations about ideal design features. The review highlights the need for greater transparency in quality assurance of existing EHRs and further research into suitable metrics and study designs.
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Affiliation(s)
- Christian Peter Subbe
- School of Medical Sciences, Bangor University, Bangor, UK
- Medicine, Ysbyty Gwynedd, Bangor, UK
| | | | - Paul Barach
- Pediatrics, Wayne State University, Detroit, Michigan, USA
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Scott IA, Sullivan C, Staib A. Going digital: a checklist in preparing for hospital-wide electronic medical record implementation and digital transformation. AUST HEALTH REV 2020; 43:302-313. [PMID: 29792259 DOI: 10.1071/ah17153] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Accepted: 01/29/2018] [Indexed: 11/23/2022]
Abstract
Objective In an era of rapid digitisation of Australian hospitals, practical guidance is needed in how to successfully implement electronic medical records (EMRs) as both a technical innovation and a major transformative change in clinical care. The aim of the present study was to develop a checklist that clearly and comprehensively defines the steps that best prepare hospitals for EMR implementation and digital transformation. Methods The checklist was developed using a formal methodological framework comprised of: literature reviews of relevant issues; an interactive workshop involving a multidisciplinary group of digital leads from Queensland hospitals; a draft document based on literature and workshop proceedings; and a review and feedback from senior clinical leads. Results The final checklist comprised 19 questions, 13 related to EMR implementation and six to digital transformation. Questions related to the former included organisational considerations (leadership, governance, change leaders, implementation plan), technical considerations (vendor choice, information technology and project management teams, system and hardware alignment with clinician workflows, interoperability with legacy systems) and training (user training, post-go-live contingency plans, roll-out sequence, staff support at point of care). Questions related to digital transformation included cultural considerations (clinically focused vision statement and communication strategy, readiness for change surveys), management of digital disruption syndromes and plans for further improvement in patient care (post-go-live optimisation of digital system, quality and benefit evaluation, ongoing digital innovation). Conclusion This evidence-based, field-tested checklist provides guidance to hospitals planning EMR implementation and separates readiness for EMR from readiness for digital transformation. What is known about the topic? Many hospitals throughout Australia have implemented, or are planning to implement, hospital wide electronic medical records (EMRs) with varying degrees of functionality. Few hospitals have implemented a complete end-to-end digital system with the ability to bring about major transformation in clinical care. Although the many challenges in implementing EMRs have been well documented, they have not been incorporated into an evidence-based, field-tested checklist that can practically assist hospitals in preparing for EMR implementation as both a technical innovation and a vehicle for major digital transformation of care. What does this paper add? This paper outlines a 19-question checklist that was developed using a formal methodological framework comprising literature review of relevant issues, proceedings from an interactive workshop involving a multidisciplinary group of digital leads from hospitals throughout Queensland, including three hospitals undertaking EMR implementation and one hospital with complete end-to-end EMR, and review of a draft checklist by senior clinical leads within a statewide digital healthcare improvement network. The checklist distinguishes between issues pertaining to EMR as a technical innovation and EMR as a vehicle for digital transformation of patient care. What are the implications for practitioners? Successful implementation of a hospital-wide EMR requires senior managers, clinical leads, information technology teams and project management teams to fully address key operational and strategic issues. Using an issues checklist may help prevent any one issue being inadvertently overlooked or underemphasised in the planning and implementation stages, and ensure the EMR is fully adopted and optimally used by clinician users in an ongoing digital transformation of care.
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Affiliation(s)
- Ian A Scott
- Princess Alexandra Hospital, 199 Ipswich Road, Brisbane, Qld 4102, Australia
| | - Clair Sullivan
- Princess Alexandra Hospital, 199 Ipswich Road, Brisbane, Qld 4102, Australia
| | - Andrew Staib
- Princess Alexandra Hospital, 199 Ipswich Road, Brisbane, Qld 4102, Australia
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Burns K, Nicholas R, Beatson A, Chamorro-Koc M, Blackler A, Gottlieb U. Identifying Mobile Health Engagement Stages: Interviews and Observations for Developing Brief Message Content. J Med Internet Res 2020; 22:e15307. [PMID: 32960181 PMCID: PMC7539166 DOI: 10.2196/15307] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Revised: 12/23/2019] [Accepted: 07/26/2020] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Interest in mobile health (mHealth) has increased recently, and research suggests that mHealth devices can enhance end-user engagement, especially when used in conjunction with brief message content. OBJECTIVE This research aims to explore the stages of engagement framework for mHealth devices and develop a method to generate brief message content to promote sustained user engagement. This study uses the framework by O'Brien and Toms as a point of departure, where engagement is defined as the uptake or the use of an mHealth device. The framework is a linear repeatable process, including point of engagement, period of engagement, disengagement, and re-engagement. Each stage is characterized by attributes related to a person's technology experience. Although the literature has identified stages of engagement for health-related technology, few studies explore mHealth engagement. Furthermore, little research has determined a method for creating brief message content at each stage in this engagement journey. METHODS Interviews and observations from 19 participants who used mHealth technologies (apps, devices, or wellness websites) in a solo capacity were recruited for sample group 1. In sample group 2, interviews, and observations from 25 participants using mHealth technologies in a group capacity through the Global Corporate Challenge were used. These samples were investigated at 3 time points in both research contexts. The results underwent deductive-inductive thematic analysis for the engagement stages' framework and attributes. RESULTS In addition to the 4 stages identified by O'Brien and Toms, 2 additional stages, self-management and limited engagement, were identified. Self-management captures where users had disengaged from their technology but were still engaged with their health activity. Limited engagement captures where group mHealth users had minimal interaction with their mHealth technology but continued to engage in a group fitness activity. The results revealed that mHealth engagement stages were nonlinear and embedded in a wider engagement context and that each stage was characterized by a combination of 49 attributes that could be organized into 8 themes. Themes documented the total user experience and included technology usability, technology features, technology aesthetics, use motivations, health awareness, goal setting, social support, and interruptions. Different themes were found to have more relevance at different engagement stages. Knowing themes and attributes at all engagement stages allows technology developers and health care professionals to generate relevant brief message content informed by a person-centered approach. CONCLUSIONS This research extends an existing engagement stages framework and identifies attributes and themes relevant to mHealth technology users' total user experience and incorporates concepts derived from health, business studies, and information systems literature. In addition, we offer a practical 5-step process based on a person-centered approach to develop mHealth technology brief message content for sustained engagement.
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Affiliation(s)
- Kara Burns
- School of Advertising, Marketing and Public Relations, QUT Business School, Queensland University of Technology, Brisbane, QLD, Australia
| | - Rebekah Nicholas
- QUT Design Lab, Creative Industries Faculty, Queensland University of Technology, Brisbane, QLD, Australia
| | - Amanda Beatson
- School of Advertising, Marketing and Public Relations, QUT Business School, Queensland University of Technology, Brisbane, QLD, Australia
| | - Marianella Chamorro-Koc
- QUT Design Lab, Creative Industries Faculty, Queensland University of Technology, Brisbane, QLD, Australia
| | - Alethea Blackler
- QUT Design Lab, Creative Industries Faculty, Queensland University of Technology, Brisbane, QLD, Australia
| | - Udo Gottlieb
- School of Advertising, Marketing and Public Relations, QUT Business School, Queensland University of Technology, Brisbane, QLD, Australia
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Threatt T, Pirtle CJ, Dzwonkowski J, Johnson KB. Using a custom mobile application for change management in an electronic health record implementation. JAMIA Open 2020; 3:37-43. [PMID: 32607486 PMCID: PMC7309254 DOI: 10.1093/jamiaopen/ooz048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 08/20/2019] [Accepted: 11/04/2019] [Indexed: 11/14/2022] Open
Abstract
Objectives Institutions cite managing the modification in infrastructure, technical support, and process change as substantial barriers to a successful electronic health record (EHR) implementation. In an effort to organize and centralize the complex scheduling, task completion and communication needs of a "big-bang" EHR go-live, we developed a unified communication system with the goal of improving implementation process efficiency. Our goal was to create a platform that would work across the medical enterprise. Materials and Methods We employed an agile process to design the application, called Hubbl, based on initial requirements and iteratively obtained stakeholder user. The final feature set included role-specific organization, integrated communication, task and content management tooling, and embedded project information retrieval, all embedded into the end user's day to day activities. Results User enrollment continually increased from launch in February of 2017 through go-live day. During the pre-go-live period, usage increased from an average of 7.37 events/user/day to 18.65 events/user/day with over 97 communications sent across all periods. 5400 unique users accessed tip sheets and information retrieval tools averaged 28.84 searches/user/day during the go-live period with an average high of 46.33 searches/user/day 5 days post-go-live. User access during go-live and post-go-live averaged 12.82 accesses/user/day and decreased from 20.42 average accesses on day one of go live to 14.07 averaged accesses on day 60 of post-go-live with over 727 tasks monitored to completion during all periods. Conclusion Hubbl was an essential component of our communication, task coordination, and change management strategy, for our EHR go live. Institutions that choose a unified mobile and web-based platform during a substantial IT (information technology) implementation can feasibly ensure task completion, project coordination, and timely information dissemination.
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Affiliation(s)
- Tony Threatt
- HealthIT, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Claude J Pirtle
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | | | - Kevin B Johnson
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Singh H, Sittig DF. A Sociotechnical Framework for Safety-Related Electronic Health Record Research Reporting: The SAFER Reporting Framework. Ann Intern Med 2020; 172:S92-S100. [PMID: 32479184 DOI: 10.7326/m19-0879] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Electronic health record (EHR)-based interventions to improve patient safety are complex and sensitive to who, what, where, why, when, and how they are delivered. Success or failure depends not only on the characteristics and behaviors of individuals who are targeted by an intervention, but also on the technical characteristics of the intervention and the culture and environment of the health system that implements it. Current reporting guidelines do not capture the complexity of sociotechnical factors (technical and nontechnical factors, such as workflow and organizational issues) that confound or influence these interventions. This article proposes a methodological reporting framework for EHR interventions targeting patient safety and builds on an 8-dimension sociotechnical model previously developed by the authors for design, development, implementation, use, and evaluation of health information technology. The Safety-related EHR Research (SAFER) Reporting Framework enables reporting of patient safety-focused EHR-based interventions while accounting for the multifaceted, dynamic sociotechnical context affecting intervention implementation, effectiveness, and generalizability. As an example, an EHR-based intervention to improve communication and timely follow-up of subcritical abnormal test results to operationalize the framework is presented. For each dimension, reporting should include what sociotechnical changes were made to implement an EHR-related intervention to improve patient safety, why the intervention did or did not lead to safety improvements, and how this intervention can be applied or exported to other health care organizations. A foundational list of research and reporting recommendations to address implementation, effectiveness, and generalizability of EHR-based interventions needed to effectively reduce preventable patient harm is provided. The SAFER Reporting Framework is not meant to replace previous research reporting guidelines, but rather provides a sociotechnical adjunct that complements their use.
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Affiliation(s)
- Hardeep Singh
- Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Baylor College of Medicine, Houston, Texas (H.S.)
| | - Dean F Sittig
- University of Texas Memorial Hermann Center for Healthcare Quality & Safety, School of Biomedical Informatics, University of Texas Health Science Center at Houston, Texas (D.F.S.)
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14
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The electronic medical record: Big data, little information? J Crit Care 2020; 54:298-299. [PMID: 31813461 DOI: 10.1016/j.jcrc.2019.09.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 09/09/2019] [Indexed: 11/22/2022]
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Aziz F, Talhelm L, Keefer J, Krawiec C. Vascular surgery residents spend one fifth of their time on electronic health records after duty hours. J Vasc Surg 2019; 69:1574-1579. [PMID: 31010521 DOI: 10.1016/j.jvs.2018.08.173] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 08/08/2018] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Electronic health records (EHR) have largely replaced paper-based medical records. Academic institutions have adapted EHR successfully and technological innovations now allow remote access. Thus, self-reported resident duty hours may not accurately reflect the actual time that is spent on patient care-related activities. METHODS This retrospective observational study quantified vascular surgery resident EHR activities between January 2016 and June 2016 at a tertiary care hospital. Use time was tracked from user login to logout, divided by day of the week, and separated by EHR tasks performed. Each 24-hour time period was further divided into on-duty (6:00 am to 6:00 pm) and off-duty (6:00 pm to 6:00 am) hours. On-call weekdays and rotations that occurred off campus were excluded. The following EHR activity data were requested: total time, chart review time, documentation time, electronic order entry, patient discovery, and electronic messages. RESULTS A total of 11,812 charts were accessed: 80.5% on weekdays and 19.5% on weekends. Total time spent (hours:minutes:seconds, weekday percentage, weekend percentage) on EHR during this time period was 634:33:36 (81.2%, 18.8%). On weekdays, 79% of the EHR time was during the work hours and 21% after hours. On weekends, 78% of the EHR time was during work hours and 22% after hours. Time spent on different EHR tasks was as follows: chart review 278:58:34, documentation 66:33:07, electronic order entry 120:50:24, electronic messaging 2:16:48, problem list modification 1:49:26, electronic messages 4:30:43, patient discovery 151:14:53, and other 164:05:17. Overall, postgraduate year 1 residents spent the most number of hours on EHRs and during the weekdays. There was serial decrease in the total number of EHR hours and the number of weekday hours with the seniority of the residents, with postgraduate year 5 residents spending the least number of overall hours and weekday hours on the EHR. When EHR access was compared with self-reported duty hours, resident compliance was 58% on average. CONCLUSIONS EHR use after hours constituted one-fifth of a vascular surgical trainee's total EHR time. Despite self-reported duty-hour compliance, a good proportion of their daily time is still spent on patient care. This pilot study sets the stage for larger studies to be conducted in future to address this issue.
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Affiliation(s)
- Faisal Aziz
- Division of Vascular Surgery, Penn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey, Pa.
| | - Lauren Talhelm
- Division of Vascular Surgery, Penn State Heart and Vascular Institute, Pennsylvania State University College of Medicine, Hershey, Pa
| | - Jeremy Keefer
- Senior System Analyst, Penn State Health Medical Center, Hershey, Pa
| | - Conrad Krawiec
- Pediatric Critical Care Medicine, Department of Pediatrics, Penn State Milton S. Hershey Medical Center, Penn State Hershey College of Medicine, Penn State Hershey Children's Hospital, Hershey, Pa
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McCrorie C, Benn J, Johnson OA, Scantlebury A. Staff expectations for the implementation of an electronic health record system: a qualitative study using normalisation process theory. BMC Med Inform Decis Mak 2019; 19:222. [PMID: 31727063 PMCID: PMC6854727 DOI: 10.1186/s12911-019-0952-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 10/28/2019] [Indexed: 11/24/2022] Open
Abstract
Background Global evidence suggests a range of benefits for introducing electronic health record (EHR) systems to improve patient care. However, implementing EHR within healthcare organisations is complex and, in the United Kingdom (UK), uptake has been slow. More research is needed to explore factors influencing successful implementation. This study explored staff expectations for change and outcome following procurement of a commercial EHR system by a large academic acute NHS hospital in the UK. Methods Qualitative interviews were conducted with 14 members of hospital staff who represented a variety of user groups across different specialities within the hospital. The four components of Normalisation Process Theory (Coherence, Cognitive participation, Collective action and Reflexive monitoring) provided a theoretical framework to interpret and report study findings. Results Health professionals had a common understanding for the rationale for EHR implementation (Coherence). There was variation in willingness to engage with and invest time into EHR (Cognitive participation) at an individual, professional and organisational level. Collective action (whether staff feel able to use the EHR) was influenced by context and perceived user-involvement in EHR design and planning of the implementation strategy. When appraising EHR (Reflexive monitoring), staff anticipated short and long-term benefits. Staff perceived that quality and safety of patient care would be improved with EHR implementation, but that these benefits may not be immediate. Some staff perceived that use of the system may negatively impact patient care. The findings indicate that preparedness for EHR use could mitigate perceived threats to the quality and safety of care. Conclusions Health professionals looked forward to reaping the benefits from EHR use. Variations in level of engagement suggest early components of the implementation strategy were effective, and that more work was needed to involve users in preparing them for use. A clearer understanding as to how staff groups and services differentially interact with the EHR as they go about their daily work was required. The findings may inform other hospitals and healthcare systems on actions that can be taken prior to EHR implementation to reduce concerns for quality and safety of patient care and improve the chance of successful implementation.
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Affiliation(s)
- Carolyn McCrorie
- Patient Safety Translational Research Centre, Bradford Institute of Health Research, Bradford Royal Infirmary, Duckworth Lane, Bradford, BD9 6RJ, UK.
| | - Jonathan Benn
- School of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, LS2 9JT, UK
| | | | - Arabella Scantlebury
- York Trials Unit, Department of Health Sciences, ARRC Building, University of York, York, YO10 5DD, UK
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Kruse CS, Stein A, Thomas H, Kaur H. The use of Electronic Health Records to Support Population Health: A Systematic Review of the Literature. J Med Syst 2018; 42:214. [PMID: 30269237 PMCID: PMC6182727 DOI: 10.1007/s10916-018-1075-6] [Citation(s) in RCA: 127] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 09/19/2018] [Indexed: 12/16/2022]
Abstract
Electronic health records (EHRs) have emerged among health information technology as "meaningful use" to improve the quality and efficiency of healthcare, and health disparities in population health. In other instances, they have also shown lack of interoperability, functionality and many medical errors. With proper implementation and training, are electronic health records a viable source in managing population health? The primary objective of this systematic review is to assess the relationship of electronic health records' use on population health through the identification and analysis of facilitators and barriers to its adoption for this purpose. Authors searched Cumulative Index of Nursing and Allied Health Literature (CINAHL) and MEDLINE (PubMed), 10/02/2012-10/02/2017, core clinical/academic journals, MEDLINE full text, English only, human species and evaluated the articles that were germane to our research objective. Each article was analyzed by multiple reviewers. Group members recognized common facilitators and barriers associated with EHRs effect on population health. A final list of articles was selected by the group after three consensus meetings (n = 55). Among a total of 26 factors identified, 63% (147/232) of those were facilitators and 37% (85/232) barriers. About 70% of the facilitators consisted of productivity/efficiency in EHRs occurring 33 times, increased quality and data management each occurring 19 times, surveillance occurring 17 times, and preventative care occurring 15 times. About 70% of the barriers consisted of missing data occurring 24 times, no standards (interoperability) occurring 13 times, productivity loss occurring 12 times, and technology too complex occurring 10 times. The analysis identified more facilitators than barriers to the use of the EHR to support public health. Wider adoption of the EHR and more comprehensive standards for interoperability will only enhance the ability for the EHR to support this important area of surveillance and disease prevention. This review identifies more facilitators than barriers to using the EHR to support public health, which implies a certain level of usability and acceptance to use the EHR in this manner. The public-health industry should combine their efforts with the interoperability projects to make the EHR both fully adopted and fully interoperable. This will greatly increase the availability, accuracy, and comprehensiveness of data across the country, which will enhance benchmarking and disease surveillance/prevention capabilities.
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Affiliation(s)
- Clemens Scott Kruse
- Texas State University, 601 University Dr, Encino 250, San Marcos, TX, 78666, USA.
| | - Anna Stein
- Texas State University, 601 University Dr, Encino 250, San Marcos, TX, 78666, USA
| | - Heather Thomas
- Texas State University, 601 University Dr, Encino 250, San Marcos, TX, 78666, USA
| | - Harmander Kaur
- Texas State University, 601 University Dr, Encino 250, San Marcos, TX, 78666, USA
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Whalen K, Lynch E, Moawad I, John T, Lozowski D, Cummings BM. Transition to a new electronic health record and pediatric medication safety: lessons learned in pediatrics within a large academic health system. J Am Med Inform Assoc 2018; 25:848-854. [PMID: 29688461 PMCID: PMC7647031 DOI: 10.1093/jamia/ocy034] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2017] [Revised: 01/17/2018] [Accepted: 03/17/2018] [Indexed: 11/12/2022] Open
Abstract
Objective While the electronic health record (EHR) has become a standard of care, pediatric patients pose a unique set of risks in adult-oriented systems. We describe medication safety and implementation challenges and solutions in the pediatric population of a large academic center transitioning its EHR to Epic. Methods Examination of the roll-out of a new EHR in a mixed neonatal, pediatric and adult tertiary care center with staggered implementation. We followed the voluntarily reported medication error rate for the neonatal and pediatric subsets and specifically monitored the first 3 months after the roll-out of the new EHR. Data was reviewed and compiled by theme. Results After implementation, there was a 5-fold increase in the overall number of medication safety reports; by the third month the rate of reported medication errors had returned to baseline. The majority of reports were near misses. Three major safety themes arose: (1) enterprise logic in rounding of doses and dosing volumes; (2) ordering clinician seeing a concentration and product when ordering medications; and (3) the need for standardized dosing units through age contexts created issues with continuous infusions and pump library safeguards. Conclusions Future research and work need to be focused on standards and guidelines on implementing an EHR that encompasses all age contexts.
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Affiliation(s)
| | - Emily Lynch
- Massachusetts General Hospital, Boston, MA, USA
| | - Iman Moawad
- Massachusetts General Hospital, Boston, MA, USA
| | - Tanya John
- Massachusetts General Hospital, Boston, MA, USA
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19
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McEvoy D, Barnett ML, Sittig DF, Aaron S, Mehrotra A, Wright A. Changes in hospital bond ratings after the transition to a new electronic health record. J Am Med Inform Assoc 2018; 25:572-574. [PMID: 29471362 DOI: 10.1093/jamia/ocy007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 01/21/2018] [Indexed: 02/05/2023] Open
Abstract
Objective To assess the impact of electronic health record (EHR) implementation on hospital finances. Materials and Methods We analyzed the impact of EHR implementation on bond ratings and net income from service to patients (NISP) at 32 hospitals that recently implemented a new EHR and a set of controls. Results After implementing an EHR, 7 hospitals had a bond downgrade, 7 had a bond upgrade, and 18 had no changes. There was no difference in the likelihood of bond rating changes or in changes to NISP following EHR go-live when compared to control hospitals. Discussion Most hospitals in our analysis saw no change in bond ratings following EHR go-live, with no significant differences observed between EHR implementation and control hospitals. There was also no apparent difference in NISP. Conclusions Implementation of an EHR did not appear to have an impact on bond ratings at the hospitals in our analysis.
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Affiliation(s)
- Dustin McEvoy
- Partners Healthcare, Information Systems, Somerville, MA, USA
| | - Michael L Barnett
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Brigham and Women's Hospital, Boston, MA, USA
| | - Dean F Sittig
- School of Biomedical Informatics, University of Texas Health Science Center, Houston, TX, USA
| | - Skye Aaron
- Brigham and Women's Hospital, Boston, MA, USA
| | - Ateev Mehrotra
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA and
| | - Adam Wright
- Brigham and Women's Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA
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20
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Sullivan C, Staib A. Digital disruption ‘syndromes’ in a hospital: important considerations for the quality and safety of patient care during rapid digital transformation. AUST HEALTH REV 2018; 42:294-298. [DOI: 10.1071/ah16294] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 03/20/2017] [Indexed: 11/23/2022]
Abstract
The digital transformation of hospitals in Australia is occurring rapidly in order to facilitate innovation and improve efficiency. Rapid transformation can cause temporary disruption of hospital workflows and staff as processes are adapted to the new digital workflows. The aim of this paper is to outline various types of digital disruption and some strategies for effective management. A large tertiary university hospital recently underwent a rapid, successful roll-out of an integrated electronic medical record (EMR). We observed this transformation and propose several digital disruption “syndromes” to assist with understanding and management during digital transformation: digital deceleration, digital transparency, digital hypervigilance, data discordance, digital churn and post-digital ‘depression’. These ‘syndromes’ are defined and discussed in detail. Successful management of this temporary digital disruption is important to ensure a successful transition to a digital platform.
What is known about this topic?
Digital disruption is defined as the changes facilitated by digital technologies that occur at a pace and magnitude that disrupt established ways of value creation, social interactions, doing business and more generally our thinking. Increasing numbers of Australian hospitals are implementing digital solutions to replace traditional paper-based systems for patient care in order to create opportunities for improved care and efficiencies. Such large scale change has the potential to create transient disruption to workflows and staff. Managing this temporary disruption effectively is an important factor in the successful implementation of an EMR.
What does this paper add?
A large tertiary university hospital recently underwent a successful rapid roll-out of an integrated electronic medical record (EMR) to become Australia’s largest digital hospital over a 3-week period. We observed and assisted with the management of several cultural, behavioural and operational forms of digital disruption which lead us to propose some digital disruption ‘syndromes’. The definition and management of these ‘syndromes’ are discussed in detail.
What are the implications for practitioners?
Minimising the temporary effects of digital disruption in hospitals requires an understanding that these digital ‘syndromes’ are to be expected and actively managed during large-scale transformation.
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Melnick ER, Hess EP, Guo G, Breslin M, Lopez K, Pavlo AJ, Abujarad F, Powsner SM, Post LA. Patient-Centered Decision Support: Formative Usability Evaluation of Integrated Clinical Decision Support With a Patient Decision Aid for Minor Head Injury in the Emergency Department. J Med Internet Res 2017; 19:e174. [PMID: 28526667 PMCID: PMC5457532 DOI: 10.2196/jmir.7846] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 05/03/2017] [Accepted: 05/05/2017] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The Canadian Computed Tomography (CT) Head Rule, a clinical decision rule designed to safely reduce imaging in minor head injury, has been rigorously validated and implemented, and yet expected decreases in CT were unsuccessful. Recent work has identified empathic care as a key component in decreasing CT overuse. Health information technology can hinder the clinician-patient relationship. Patient-centered decision tools to support the clinician-patient relationship are needed to promote evidence-based decisions. OBJECTIVE Our objective is to formatively evaluate an electronic tool that not only helps clinicians at the bedside to determine the need for CT use based on the Canadian CT Head Rule but also promotes evidence-based conversations between patients and clinicians regarding patient-specific risk and patients' specific concerns. METHODS User-centered design with practice-based and participatory decision aid development was used to design, develop, and evaluate patient-centered decision support regarding CT use in minor head injury in the emergency department. User experience and user interface (UX/UI) development involved successive iterations with incremental refinement in 4 phases: (1) initial prototype development, (2) usability assessment, (3) field testing, and (4) beta testing. This qualitative approach involved input from patients, emergency care clinicians, health services researchers, designers, and clinical informaticists at every stage. RESULTS The Concussion or Brain Bleed app is the product of 16 successive iterative revisions in accordance with UX/UI industry design standards. This useful and usable final product integrates clinical decision support with a patient decision aid. It promotes shared use by emergency clinicians and patients at the point of care within the emergency department context. This tablet computer app facilitates evidence-based conversations regarding CT in minor head injury. It is adaptable to individual clinician practice styles. The resultant tool includes a patient injury evaluator based on the Canadian CT Head Rule and provides patient specific risks using pictographs with natural frequencies and cues for discussion about patient concerns. CONCLUSIONS This tool was designed to align evidence-based practices about CT in minor head injury patients. It establishes trust, empowers active participation, and addresses patient concerns and uncertainty about their condition. We hypothesize that, when implemented, the Concussion or Brain Bleed app will support-not hinder-the clinician-patient relationship, safely reduce CT use, and improve the patient experience of care.
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Affiliation(s)
- Edward R Melnick
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States
| | - Erik P Hess
- Department of Emergency Medicine, Mayo Clinic, Rochester, MN, United States
| | - George Guo
- Yale School of Medicine, New Haven, CT, United States
| | | | - Kevin Lopez
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States
| | - Anthony J Pavlo
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Fuad Abujarad
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States
| | - Seth M Powsner
- Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
| | - Lori A Post
- Department of Emergency Medicine, Feinberg School of Medicine, Chicago, IL, United States
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22
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Manias E, Gray K, Wickramasinghe N. Patient and family engagement with hospital electronic systems: Juggling for co-existence. Int J Nurs Stud 2017; 68:A1-A3. [PMID: 28187902 DOI: 10.1016/j.ijnurstu.2017.01.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Elizabeth Manias
- School of Nursing and Midwifery, Centre for Quality and Patient Safety Research, Deakin University, Burwood, Australia; Department of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, Australia; Melbourne School of Health Sciences, The University of Melbourne, Parkville, Australia, Australia.
| | - Kathleen Gray
- School of Computing and Information Systems, The University of Melbourne, Parkville, Australia
| | - Nilmini Wickramasinghe
- Office of the Faculty of Health, Deakin University, Burwood, Australia; Epworth HealthCare, Richmond, Australia
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Scantlebury A, Sheard L, Watt I, Cairns P, Wright J, Adamson J. Exploring the implementation of an electronic record into a maternity unit: a qualitative study using Normalisation Process Theory. BMC Med Inform Decis Mak 2017; 17:4. [PMID: 28061781 PMCID: PMC5219748 DOI: 10.1186/s12911-016-0406-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Accepted: 12/26/2016] [Indexed: 11/10/2022] Open
Abstract
Background To explore the benefits, barriers and disadvantages of implementing an electronic record system (ERS). The extent that the system has become ‘normalised’ into routine practice was also explored. Methods Qualitative semi-structured interviews were conducted with 19 members of NHS staff who represented a variety of staff groups (doctors, midwives of different grades, health care assistants) and wards within a maternity unit at a NHS teaching hospital. Interviews were conducted during the first year of the phased implementation of ERS and were analysed thematically. The four mechanisms of Normalisation Process Theory (NPT) (coherence, cognitive participation, collective action and reflexive monitoring) were adapted for use within the study and provided a theoretical framework to interpret the study’s findings. Results Coherence (participants’ understanding of why the ERS has been implemented) was mixed – whilst those involved in ERS implementation anticipated advantages such as improved access to information; the majority were unclear why the ERS was introduced. Participants’ willingness to engage with and invest time into the ERS (cognitive participation) depended on the amount of training and support they received and their willingness to change from paper to electronic records. Collective action (the extent the ERS was used) may be influenced by whether participants perceived there to be benefits associated with the system. Whilst some individuals reported benefits such as improved legibility of records, others felt benefits were yet to emerge. The parallel use of paper and the lack of integration of electronic systems within and between the trust and other healthcare organisations hindered ERS use. When appraising the ERS (reflexive monitoring) participants perceived the system to negatively impact the patient-clinician relationship, time and patient safety. Conclusions Despite expectations that the ERS would have a number of advantages, its implementation was perceived to have a range of disadvantages and only a limited number of ‘clinical benefits’. The study highlights the complexity of implementing electronic systems and the associated longevity before they can become ‘embedded’ into routine practice. Through the identification of barriers to the employment of electronic systems this process could be streamlined with the avoidance of any potential detriment to clinical services. Electronic supplementary material The online version of this article (doi:10.1186/s12911-016-0406-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Arabella Scantlebury
- York Trials Unit, Department of Health Sciences, University of York, York, YO10 5DD, UK.
| | - Laura Sheard
- Bradford Institute for Health Research, Bradford Royal Infirmary, Duckworth Lane, Bradford, BD9 6RJ, UK
| | - Ian Watt
- Department of Health Sciences, Seebohm Rowntree Building, University of York, York, Yo10 5DD, UK
| | - Paul Cairns
- Department of Computer Science, University of York, York, Yo10 5GH, UK
| | - John Wright
- Bradford Institute for Health Research, Bradford Royal Infirmary, Duckworth Lane, Bradford, BD9 6RJ, UK
| | - Joy Adamson
- Institute of Health and Society, Newcastle University, Newcastle Upon-Tyne, NEZ 4AX, UK
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