The EHR and building the patient's story: A qualitative investigation of how EHR use obstructs a vital clinical activity

Collecting pieces for the 'puzzle': Nurses' intraprofessional collaboration in the hospital-to-home transition of older patients

BACKGROUND AND AIM

Communication is a key factor in intraprofessional collaboration between hospital nurses and homecare nurses in hospital-to-home transitions of older patients with complex care needs. Gaining knowledge of the nature of cross-sectoral communication is crucial for understanding how nurses collaborate to ensure a seamless patient trajectory. This study explores how cross-sectoral electronic health records communication influences collaboration between hospital nurses and homecare nurses when discharging older patients with complex care needs.

METHOD

The study is based on qualitative group interviews with six hospital nurses and 14 homecare nurses working at different hospitals and municipalities across Denmark. Data were analysed using reflexive thematic analysis, as described by Braun and Clark.

FINDINGS

The themes Collecting pieces for the 'puzzle': Losing the holistic picture of the patient; Working blindfolded: limited provision of and access to critical information; and Bypassing the 'invisible wall': dialogue supports cohesion illustrate the impact of organisational structures within electronic health records have on hospital nurses' and homecare nurses' intraprofessional collaboration across sectors. Challenges with predefined and word-limited elements in digital communication, and inadequate and limited access to significant medical information were identified. To compensate for the inadequacy of the electronic health records, direct contact and dialogue were emphasised as ways of fostering successful collaboration and overcoming the barriers created by electronic health records.

CONCLUSION

Despite hospital nurses' and homecare nurses' desire to conduct holistic patient assessments, their ability to collaborate was hindered by failures in electronic health record communication resulting from restrictive organisational structures across sectors. Thus, it became necessary for hospital nurses and homecare nurses to bypass the electronic health record system and engage in dialogue to provide holistic care when discharging older patients with complex care needs. However, by hospital nurses and homecare nurses compensating for counter-productive organisational structures, problems brought about by the electronic health record system paradoxically remain invisible.

Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing

OBJECTIVE

Leverage electronic health record (EHR) audit logs to develop a machine learning (ML) model that predicts which notes a clinician wants to review when seeing oncology patients.

MATERIALS AND METHODS

We trained logistic regression models using note metadata and a Term Frequency Inverse Document Frequency (TF-IDF) text representation. We evaluated performance with precision, recall, F1, AUC, and a clinical qualitative assessment.

RESULTS

The metadata only model achieved an AUC 0.930 and the metadata and TF-IDF model an AUC 0.937. Qualitative assessment revealed a need for better text representation and to further customize predictions for the user.

DISCUSSION

Our model effectively surfaces the top 10 notes a clinician wants to review when seeing an oncology patient. Further studies can characterize different types of clinician users and better tailor the task for different care settings.

CONCLUSION

EHR audit logs can provide important relevance data for training ML models that assist with note-writing in the oncology setting.

Patient care in complex Sociotechnological ecosystems and learning health systems

The learning health system (LHS) model was proposed to provide real-time, bi-directional flow of learning using data captured in health information technology systems to deliver rapid learning in healthcare delivery. As highlighted by the landmark National Academy of Medicine report "Crossing the Quality Chasm," the U.S. healthcare delivery industry represents complex adaptive systems, and there is an urgent need to develop innovative methods to identify efficient team structures by harnessing real-world care delivery data found in the electronic health record (EHR). We offer a discussion surrounding the complexities of team communication and how solutions may be guided by theories such as the Multiteam System (MTS) framework and the Multitheoretical Multilevel Framework of Communication Networks. To advance healthcare delivery science and promote LHSs, our team has been building a new line of research using EHR data to study MTS in the complex real world of cancer care delivery. We are developing new network metrics to study MTSs and will be analyzing the impact of EHR communication network structures on patient outcomes. As this research leads to patient care delivery interventions/tools, healthcare leaders and healthcare professionals can effectively use health IT data to implement the most evidence-based collaboration approaches in order to achieve the optimal LHS and patient outcomes.

Utilizing nursing standards in electronic health records: A descriptive qualitative study

BACKGROUND

The electronic health record (EHR), including standardized structures and languages, represents an important data source for nurses, to continually update their individual and shared perceptual understanding of clinical situations. Registered nurses' utilization of nursing standards, such as standardized nursing care plans and language in EHRs, has received little attention in the literature. Further research is needed to understand nurses' care planning and documentation practice.

AIMS

This study aimed to describe the experiences and perceptions of nurses' EHR documentation practices utilizing standardized nursing care plans including standardized nursing language, in the daily documentation of nursing care for patients living in special dementia-care units in nursing homes in Norway.

METHODS

A descriptive qualitative study was conducted between April and November 2021 among registered nurses working in special dementia care units in Norwegian nursing homes. In-depth interviews were conducted, and data was analyzed utilizing reflexive thematic analysis with a deductive orientation. Findings Four themes were generated from the analysis. First, the knowledge, skills, and attitude of system users were perceived to influence daily documentation practice. Second, management and organization of documentation work, internally and externally, influenced motivation and engagement in daily documentation processes. Third, usability issues of the EHR were perceived to limit the daily workflow and the nurses' information-needs. Last, nursing standards in the EHR were perceived to contribute to the development of documentation practices, supporting and stimulating ethical awareness, cognitive processes, and knowledge development.

CONCLUSION

Nurses and nursing leaders need to be continuously involved and engaged in EHR documentation to safeguard development and implementation of relevant nursing standards.

Digitalisation Medical Records: Improving Efficiency and Reducing Burnout in Healthcare

(1) Background: electronic medical record (EMR) systems remain a significant priority for the improvement of healthcare services. However, their implementation may have resulted in a burden on healthcare workers (HCWs). This study aimed to determine the prevalence of burnout symptoms among HCWs who use EMRs at their workplace, as well as burnout-associated factors. (2) Methods: an analytical cross-sectional study was conducted at six public health clinics equipped with an electronic medical record system. The respondents were from a heterogeneity of job descriptions. Consent was obtained before enrolment into the study. A questionnaire was distributed through an online platform. Ethical approval was secured. (3) Results: a total of 161 respondents were included in the final analysis, accounting for a 90.0% response rate. The prevalence of burnout symptoms was 10.7% (n = 17). Three significant predictors were obtained in the final model: experiencing ineffective screen layouts and navigation systems, experiencing physical or verbal abuse by patients, and having a poor relationship with colleagues. (4) Conclusions: the prevalence of burnout symptoms among healthcare workers working with electronic medical record systems was low. Despite several limitations and barriers to implementation, a paradigm shift is needed to equip all health sectors with electronic medical record systems to improve healthcare service delivery. Continuous technical support and financial resources are important to ensure a smooth transition and integration.

Trauma-informed care in acute mental health units through the lifeworld of mental health nurses: A phenomenological study

Trauma-informed care has gained increasing popularity in mental health services over the past two decades. Mental health nurses remain one of the largest occupations employed in acute mental health settings and arguably have a critical role in supporting trauma-informed care in this environment. Despite this, there remains a limited understanding on how trauma-informed care is applied to the context of mental health nursing in the hospital environment. The aim of this study was to explore what it means for mental health nurses to provide trauma-informed care in the acute mental health setting. The study design was qualitative, using van Manen's (Researching lived experience: human science for an action sensitive pedagogy. State University of New York Press, 1990) approach to hermeneutic phenomenological inquiry. A total of 29 mental health nurses participated in this study. There were three overarching themes that emerged; these entail: embodied trauma-informed milieu, trauma-informed relationality and temporal dimensions of trauma-informed mental health nursing. The study found that for mental health nurses, there are elements of trauma-informed care that extend far beyond the routine application of the principles to nursing practice. For mental health nurses working in the acute setting, trauma-informed care may offer a restorative function in practice back to the core tenants of therapeutic interpersonal dynamics it was once based upon.

Registered nurses' reasoning process during care planning and documentation in the electronic health records: A concurrent think-aloud study

AIMS AND OBJECTIVES

To explore the clinical reasoning process of experienced registered nurses during care planning and documentation of nursing in the electronic health records of residents in long-term dementia care.

BACKGROUND

Clinical reasoning is an essential element in nursing practice. Registered nurses' clinical reasoning process during the documentation of nursing care in electronic health records has received little attention in nursing literature. Further research is needed to understand registered nurses' clinical reasoning, especially for care planning and documentation of dementia care due to its complexity and a large amount of information collected.

DESIGN

A qualitative explorative design was used with a concurrent think-aloud technique.

METHODS

The transcribed verbalisations were analysed using protocol analysis with referring phrase, assertional and script analyses. Data were collected over ten months in 2019-2020 from 12 registered nurses in three nursing homes offering special dementia care. The COREQ checklist for qualitative studies was used.

RESULTS

The nurses primarily focused on assessments and interventions during documentation. Most registered nurses used their experience and heuristics when reasoning about the residents' current health and well-being. They also used logical thinking or followed local practice rules when reasoning about planned or implemented interventions.

CONCLUSION

The registered nurses moved back and forth among all the elements in the nursing process. They used a variety of clinical reasoning attributes during care planning and nursing documentation. The most used clinical reasoning attributes were information processing, cognition and inference. The most focused information was planned and implemented interventions.

RELEVANCE TO CLINICAL PRACTICE

Knowledge of the clinical reasoning process of registered nurses during care planning and documentation should be used in developing electronic health record systems that support the workflow of registered nurses and enhance their ability to disseminate relevant information.

Do electronic health record systems "dumb down" clinicians?

A panel sponsored by the American College of Medical Informatics (ACMI) at the 2021 AMIA Symposium addressed the provocative question: "Are Electronic Health Records dumbing down clinicians?" After reviewing electronic health record (EHR) development and evolution, the panel discussed how EHR use can impair care delivery. Both suboptimal functionality during EHR use and longer-term effects outside of EHR use can reduce clinicians' efficiencies, reasoning abilities, and knowledge. Panel members explored potential solutions to problems discussed. Progress will require significant engagement from clinician-users, educators, health systems, commercial vendors, regulators, and policy makers. Future EHR systems must become more user-focused and scalable and enable providers to work smarter to deliver improved care.

Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework

BACKGROUND

Nursing information systems embedded with standardized nursing language and clinical decision support have been increasingly introduced in health care settings. User experience is key to the adoption of health information technologies. Despite extensive research into the user experience with nursing information systems, few studies have focused on the interaction between user, technology and organizational attributes during its implementation. Guided by the human, organization and technology-fit framework, this study aimed to investigate nurses' perceptions and experiences with transition to a new nursing information system (Care Direct) 2 years after its first introduction.

METHODS

This is a mixed-method study using an embedded design. An online survey was launched to collect nurses' self-reported use of the new system, perceived system effectiveness and experience of participation in system optimization. Twenty-two semi structured interviews were conducted with twenty nurses with clinical or administrative roles. The quantitative and qualitative data were merged using the Pillar Integration Process.

RESULTS

The average score of system use behavior was 3.76 ± 0.79. Regarding perceived system effectiveness, the score of each dimension ranged 3.07-3.34 out of 5. Despite large variations in approaches to participating in system optimization, nurses had generally positive experiences with management and technical support. Eight main categories emerged from the integrated findings, which were further condensed into three themes: perceptions on system content, structure, and functionality; perceptions on interdisciplinary and cross-level cooperation; and embracing and accepting the change.

CONCLUSIONS

Effective collaboration between clinicians, administrators and technical staff is required during system promotion to enhance system usability and user experience. Clear communication of organizational missions to staff and support from top management is needed to smooth the system implementation process and achieve broader system adoption.

Diagnostic Reasoning of Resident Physicians in the Age of Clinical Pathways

BACKGROUND

Development of skills in diagnostic reasoning is paramount to the transition from novice to expert clinicians. Efforts to standardize approaches to diagnosis and treatment using clinical pathways are increasingly common. The effects of implementing pathways into systems of care during diagnostic education and practice among pediatric residents are not well described.

OBJECTIVE

To characterize pediatric residents' perceptions of the tradeoffs between clinical pathway use and diagnostic reasoning.

METHODS

We conducted a qualitative study from May to December 2019. Senior pediatric residents from a high-volume general pediatric inpatient service at an academic hospital participated in semi-structured interviews. We utilized a basic interpretive qualitative approach informed by a dual process diagnostic reasoning framework.

RESULTS

Nine residents recruited via email were interviewed. Residents reported using pathways when admitting patients and during teaching rounds. All residents described using pathways primarily as management tools for patients with a predetermined diagnosis, rather than as aids in formulating a diagnosis. As such, pathways primed residents to circumvent crucial steps of deliberate diagnostic reasoning. However, residents relied on bedside assessment to identify when patients are "not quite fitting the mold" of the current pathway diagnosis, facilitating recalibration of the diagnostic process.

CONCLUSIONS

This study identifies important educational implications at the intersection of residents' cognitive diagnostic processes and use of clinical pathways. We highlight potential challenges clinical pathways pose for skill development in diagnostic reasoning by pediatric residents. We suggest opportunities for educators to leverage clinical pathways as a framework for development of these skills.

Artificial Intelligence and Medical Humanities

The use of artificial intelligence in healthcare has led to debates about the role of human clinicians in the increasingly technological contexts of medicine. Some researchers have argued that AI will augment the capacities of physicians and increase their availability to provide empathy and other uniquely human forms of care to their patients. The human vulnerabilities experienced in the healthcare context raise the stakes of new technologies such as AI, and the human dimensions of AI in healthcare have particular significance for research in the humanities. This article explains four key areas of concern relating to AI and the role that medical/health humanities research can play in addressing them: definition and regulation of "medical" versus "health" data and apps; social determinants of health; narrative medicine; and technological mediation of care. Issues include data privacy and trust, flawed datasets and algorithmic bias, racial discrimination, and the rhetoric of humanism and disability. Through a discussion of potential humanities contributions to these emerging intersections with AI, this article will suggest future scholarly directions for the field.

Impact of Electronic Health Records on Information Practices in Mental Health Contexts: Scoping Review

BACKGROUND

The adoption of electronic health records (EHRs) and electronic medical records (EMRs) has been slow in the mental health context, partly because of concerns regarding the collection of sensitive information, the standardization of mental health data, and the risk of negatively affecting therapeutic relationships. However, EHRs and EMRs are increasingly viewed as critical to improving information practices such as the documentation, use, and sharing of information and, more broadly, the quality of care provided.

OBJECTIVE

This paper aims to undertake a scoping review to explore the impact of EHRs on information practices in mental health contexts and also explore how sensitive information, data standardization, and therapeutic relationships are managed when using EHRs in mental health contexts.

METHODS

We considered a scoping review to be the most appropriate method for this review because of the relatively recent uptake of EHRs in mental health contexts. A comprehensive search of electronic databases was conducted with no date restrictions for articles that described the use of EHRs, EMRs, or associated systems in the mental health context. One of the authors reviewed all full texts, with 2 other authors each screening half of the full-text articles. The fourth author mediated the disagreements. Data regarding study characteristics were charted. A narrative and thematic synthesis approach was taken to analyze the included studies' results and address the research questions.

RESULTS

The final review included 40 articles. The included studies were highly heterogeneous with a variety of study designs, objectives, and settings. Several themes and subthemes were identified that explored the impact of EHRs on information practices in the mental health context. EHRs improved the amount of information documented compared with paper. However, mental health-related information was regularly missing from EHRs, especially sensitive information. EHRs introduced more standardized and formalized documentation practices that raised issues because of the focus on narrative information in the mental health context. EHRs were found to disrupt information workflows in the mental health context, especially when they did not include appropriate templates or care plans. Usability issues also contributed to workflow concerns. Managing the documentation of sensitive information in EHRs was problematic; clinicians sometimes watered down sensitive information or chose to keep it in separate records. Concerningly, the included studies rarely involved service user perspectives. Furthermore, many studies provided limited information on the functionality or technical specifications of the EHR being used.

CONCLUSIONS

We identified several areas in which work is needed to ensure that EHRs benefit clinicians and service users in the mental health context. As EHRs are increasingly considered critical for modern health systems, health care decision-makers should consider how EHRs can better reflect the complexity and sensitivity of information practices and workflows in the mental health context.

A Value-Added Health Systems Science Intervention Based on My Life, My Story for Patients Living with HIV and Medical Students: Translating Narrative Medicine from Classroom to Clinic

In 2018-2019, at the Keck School of Medicine of the University of Southern California (KSOM), we developed and piloted a narrative-based health systems science intervention for patients living with HIV and medical students in which medical students co-wrote patients' life narratives for inclusion in the electronic health record. The pilot study aimed to assess the acceptability of the "life narrative protocol" (LNP) from multiple stakeholder positions and characterize participants' experiences of the clinical and pedagogical implications of the LNP. Students were recruited from KSOM. Patients and staff were recruited from the Maternal, Child, and Adolescent/Adult Center for Infectious Disease and Virology (MCA) at Los Angeles County+USC Medical Center. Ten patients, seventeen students, and ten MCA staff participated in the pilot study. Qualitative methods were used to gather data from students', patients', and staff's perspectives. Three themes emerged from the thematic analysis: (1) patients' life narratives conveyed their unique life experiences and voices; (2) the protocol could result in wide-ranging effects on HIV care; (3) the LNP enabled students to contribute value to patients' healthcare. Across groups, participants considered the LNP an acceptable intervention. The LNP, its limitations, and implications for HIV care, narrative medicine, and health information technology are presented.

Needs and Perspectives of Cancer Center Stakeholders for Access to Patient Values in the Electronic Health Record

PURPOSE

High-quality cancer care must incorporate patients' personal values in decision making throughout illness. Unfortunately, patient values are neither consistently elicited nor easily accessible in the electronic health record (EHR). Memorial Sloan Kettering Cancer Center is deploying a major EHR innovation, called the Patient Values Tab, which provides ready access to patients' values and personhood. To inform the Tab's design, we interviewed a large, diverse group of institutional stakeholders to understand their user needs for this Tab.

METHODS

Qualitative data were collected through semistructured, audio-recorded, in-person, individual interviews. An interdisciplinary team of four coders conducted a process of thematic content analysis. Thematic saturation was achieved, and member checking was performed.

RESULTS

A total of 110 stakeholders were approached and interviewed. Participants comprised a wide range of disciplines or professions and others involved in hospital and/or clinic administration. Analysis revealed the following themes related to important Tab content: personhood, support system or resources, social history, communication preferences, future planning, end of life, and illness and treatment understanding. Participants also discussed implementation considerations, the Tab's potential to improve communication, and privacy implications.

CONCLUSION

This study focused on a major EHR innovation to centralize information about values and personhood of patients with cancer. We elicited views of over 100 institutional stakeholders through in-depth interviews that were rigorously analyzed, yielding themes related to content and format that helped guide the Tab's design. The interviews generated a sense of ownership and enthusiasm for the Tab among future users. The Tab's introduction advances the use of the EHR as a driver of the delivery of patient-centered care.

Measuring Collaboration Through Concurrent Electronic Health Record Usage: Network Analysis Study

BACKGROUND

Collaboration is vital within health care institutions, and it allows for the effective use of collective health care worker (HCW) expertise. Human-computer interactions involving electronic health records (EHRs) have become pervasive and act as an avenue for quantifying these collaborations using statistical and network analysis methods.

OBJECTIVE

We aimed to measure HCW collaboration and its characteristics by analyzing concurrent EHR usage.

METHODS

By extracting concurrent EHR usage events from audit log data, we defined concurrent sessions. For each HCW, we established a metric called concurrent intensity, which was the proportion of EHR activities in concurrent sessions over all EHR activities. Statistical models were used to test the differences in the concurrent intensity between HCWs. For each patient visit, starting from admission to discharge, we measured concurrent EHR usage across all HCWs, which we called temporal patterns. Again, we applied statistical models to test the differences in temporal patterns of the admission, discharge, and intermediate days of hospital stay between weekdays and weekends. Network analysis was leveraged to measure collaborative relationships among HCWs. We surveyed experts to determine if they could distinguish collaborative relationships between high and low likelihood categories derived from concurrent EHR usage. Clustering was used to aggregate concurrent activities to describe concurrent sessions. We gathered 4 months of EHR audit log data from a large academic medical center's neonatal intensive care unit (NICU) to validate the effectiveness of our framework.

RESULTS

There was a significant difference (P<.001) in the concurrent intensity (proportion of concurrent activities: ranging from mean 0.07, 95% CI 0.06-0.08, to mean 0.36, 95% CI 0.18-0.54; proportion of time spent on concurrent activities: ranging from mean 0.32, 95% CI 0.20-0.44, to mean 0.76, 95% CI 0.51-1.00) between the top 13 HCW specialties who had the largest amount of time spent in EHRs. Temporal patterns between weekday and weekend periods were significantly different on admission (number of concurrent intervals per hour: 11.60 vs 0.54; P<.001) and discharge days (4.72 vs 1.54; P<.001), but not during intermediate days of hospital stay. Neonatal nurses, fellows, frontline providers, neonatologists, consultants, respiratory therapists, and ancillary and support staff had collaborative relationships. NICU professionals could distinguish high likelihood collaborative relationships from low ones at significant rates (3.54, 95% CI 3.31-4.37 vs 2.64, 95% CI 2.46-3.29; P<.001). We identified 50 clusters of concurrent activities. Over 87% of concurrent sessions could be described by a single cluster, with the remaining 13% of sessions comprising multiple clusters.

CONCLUSIONS

Leveraging concurrent EHR usage workflow through audit logs to analyze HCW collaboration may improve our understanding of collaborative patient care. HCW collaboration using EHRs could potentially influence the quality of patient care, discharge timeliness, and clinician workload, stress, or burnout.

Managing the tension between caring and charting: Labor and delivery nurses' experiences of the electronic health record

Over a decade following the nationwide push to implement electronic health records (EHRs), the focus has shifted to addressing the cognitive burden associated with their use. Most research and discourse about the EHR's impact on clinicians' cognitive work has focused on physicians rather than on nursing-specific issues. Labor and delivery nurses may encounter unique challenges when using EHRs because they also interact with an electronic fetal monitoring system, continuously managing and synthesizing both maternal and fetal data. This grounded theory study explored labor and delivery nurses' perceptions of the EHR's impact on their cognitive work. Data were individual interviews and participant observations with twenty-one nurses from two labor and delivery units in the western U.S. and were analyzed using dimensional analysis. Nurses managed the tension between caring and charting using various strategies to integrate the EHR into their dynamic, high-acuity, specialty practice environment while using EHRs that were not designed for perinatal patients. Use of the EHR and associated technologies disrupted nurses' ability to locate and synthesize information, maintain an overview of the patient's status, and connect with patients and families. Individual-, group-, and environmental-level factors facilitated or constrained nurses' integration of the EHR. These findings represent critical safety failures requiring comprehensive changes to EHR designs and better processes for responding to end-user experiences. More research is needed to develop EHRs that support the dynamic and relationship-based nature of nurses' work and to align with specialty practice environments.

A Novel Patient Values Tab for the Electronic Health Record: A User-Centered Design Approach

BACKGROUND

The COVID-19 pandemic has shined a harsh light on a critical deficiency in our health care system: our inability to access important information about patients' values, goals, and preferences in the electronic health record (EHR). At Memorial Sloan Kettering Cancer Center (MSK), we have integrated and systematized health-related values discussions led by oncology nurses for newly diagnosed cancer patients as part of routine comprehensive cancer care. Such conversations include not only the patient's wishes for care at the end of life but also more holistic personal values, including sources of strength, concerns, hopes, and their definition of an acceptable quality of life. In addition, health care providers use a structured template to document their discussions of patient goals of care.

OBJECTIVE

To provide ready access to key information about the patient as a person with individual values, goals, and preferences, we undertook the creation of the Patient Values Tab in our center's EHR to display this information in a single, central location. Here, we describe the interprofessional, interdisciplinary, iterative process and user-centered design methodology that we applied to build this novel functionality as well as our initial implementation experience and plans for evaluation.

METHODS

We first convened a working group of experts from multiple departments, including medical oncology, health informatics, information systems, nursing informatics, nursing education, and supportive care, and a user experience designer. We conducted in-depth, semistructured, audiorecorded interviews of over 100 key stakeholders. The working group sought consensus on the tab's main content, homing in on high-priority areas identified by the stakeholders. The core content was mapped to various EHR data sources. We established a set of high-level design principles to guide our process. Our user experience designer then created wireframes of the tab design. The designer conducted usability testing with physicians, nurses, and other health professionals. Data validation testing was conducted.

RESULTS

We have already deployed the Patient Values Tab to a pilot sample of users in the MSK Gastrointestinal Medical Oncology Service, including physicians, advanced practice providers, nurses, and administrative staff. We have early evidence of the positive impact of this EHR innovation. Audit logs show increasing use. Many of the initial user comments have been enthusiastically positive, while others have provided constructive suggestions for additional tab refinements with respect to format and content.

CONCLUSIONS

It is our challenge and obligation to enrich the EHR with information about the patient as a person. Realization of this capability is a pressing public health need requiring the collaboration of technological experts with a broad range of clinical leaders, users, patients, and families to achieve solutions that are both principled and practical. Our new Patient Values Tab represents a step forward in this important direction.

More than words: how multimodal analysis can inform health professions education

The contexts and methods for communicating in healthcare and health professions education (HPE) profoundly affect how we understand information, relate to others, and construct our identities. Multimodal analysis provides a method for exploring how we communicate using multiple modes-e.g., language, gestures, images-in concert with each other and within specific contexts. In this paper, we demonstrate how multimodal analysis helps us investigate the ways our communication practices shape healthcare and HPE. We provide an overview of the theoretical underpinnings, traditions, and methodologies of multimodal analysis. Then, we illustrate how to design and conduct a study using one particular approach to multimodal analysis, multimodal (inter)action analysis, using examples from a study focused on clinical reasoning and patient documentation. Finally, we suggest how multimodal analysis can be used to address a variety of HPE topics and contexts, highlighting the unique contributions multimodal analysis can offer to our field.

The Influence of Electronic Health Record Use on Physician Burnout: Cross-Sectional Survey

Background

Physician burnout has a direct impact on the delivery of high-quality health care, with health information technology tools such as electronic health records (EHRs) adding to the burden of practice inefficiencies.

Objective

The aim of this study was to determine the extent of burnout among physicians and learners (residents and fellows); identify significant EHR-related contributors of physician burnout; and explore the differences between physicians and learners with regard to EHR-related factors such as time spent in EHR, documentation styles, proficiency, training, and perceived usefulness. In addition, the study aimed to address gaps in the EHR-related burnout research methodologies by determining physicians’ patterns of EHR use through usage logs.

Methods

This study used a cross-sectional survey methodology and a review of administrative data for back-end log measures of survey respondents’ EHR use, which was conducted at a large Canadian academic mental health hospital. Chi-square and Fisher exact tests were used to examine the association of EHR-related factors with general physician burnout. The survey was sent out to 474 individuals between May and June 2019, including physicians (n=407), residents (n=53), and fellows (n=14), and we measured physician burnout and perceptions of EHR stressors (along with demographic and practice characteristics).

Results

Our survey included 208 respondents, including physicians (n=176) and learners (n=32). The response rate was 43.2% for physicians (full-time: 156/208, 75.0%; part-time: 20/199, 10.1%), and 48% (32/67) for learners. A total of 25.6% (45/176) of practicing physicians and 19% (6/32) of learners reported having one or more symptoms of burnout, and 74.5% (155/208) of all respondents who reported burnout symptoms identified the EHR as a contributor. Lower satisfaction and higher frustration with the EHRs were significantly associated with perceptions of EHR contributing toward burnout. Physicians’ and learners’ experiences with the EHR, gathered through open-ended survey responses, identified challenges around the intuitiveness and usability of the technology as well as workflow issues. Metrics gathered from back-end usage logs demonstrated a 13.6-min overestimation in time spent on EHRs per patient and a 5.63-hour overestimation of after-hours EHR time, when compared with self-reported survey data.

Conclusions

This study suggests that the use of EHRs is a perceived contributor to physician burnout. There should be a focus on combating physician burnout by reducing the unnecessary administrative burdens of EHRs through efficient implementation of systems and effective postimplementation strategies.

Unmet information needs of clinical teams delivering care to complex patients and design strategies to address those needs

OBJECTIVES

To identify the unmet information needs of clinical teams delivering care to patients with complex medical, social, and economic needs; and to propose principles for redesigning electronic health records (EHR) to address these needs.

MATERIALS AND METHODS

In this observational study, we interviewed and observed care teams in 9 community health centers in Oregon and Washington to understand their use of the EHR when caring for patients with complex medical and socioeconomic needs. Data were analyzed using a comparative approach to identify EHR users' information needs, which were then used to produce EHR design principles.

RESULTS

Analyses of > 300 hours of observations and 51 interviews identified 4 major categories of information needs related to: consistency of social determinants of health (SDH) documentation; SDH information prioritization and changes to this prioritization; initiation and follow-up of community resource referrals; and timely communication of SDH information. Within these categories were 10 unmet information needs to be addressed by EHR designers. We propose the following EHR design principles to address these needs: enhance the flexibility of EHR documentation workflows; expand the ability to exchange information within teams and between systems; balance innovation and standardization of health information technology systems; organize and simplify information displays; and prioritize and reduce information.

CONCLUSION

Developing EHR tools that are simple, accessible, easy to use, and able to be updated by a range of professionals is critical. The identified information needs and design principles should inform developers and implementers working in community health centers and other settings where complex patients receive care.

Association of Health Record Visualizations With Physicians' Cognitive Load When Prioritizing Hospitalized Patients

IMPORTANCE

Current electronic health records (EHRs) contribute to increased physician cognitive workload when completing clinical tasks.

OBJECTIVE

To assess the association of different design features of an EHR-based information visualization tool with the cognitive load of physicians during the clinical prioritization process.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study included a convenience sample of 29 attending physicians at Seattle Children's Hospital, a large tertiary academic pediatric hospital. Data collection took place from August 2017 through October 2017, and analysis occurred from August to October 2018.

EXPOSURE

Physician participants used 3 prototypes with novel visualizations of simulated EHR data that highlighted 1 of 3 key patient characteristics, as follows: (1) acuity, (2) clinical problem list, and (3) clinical change.

MAIN OUTCOMES AND MEASURES

Cognitive workload was measured using the NASA Task Load Index (TLX) scale (range, 1-100, with lower scores indicating lower cognitive workload). Cognitive workload was assessed for the 2 following clinical prioritization tasks: (1) finding information for a specific patient and (2) comparing results among patients for each prototype. Participants ranked 5 hypothetical patients from having the highest to the lowest priority in each design.

RESULTS

A total of 29 physician participants (15 [52%] men; 14 [48%] women; mean [range] age, 43 [35-58] years; mean [range] time in practice, 11 [3-30] years) completed the study. For task 1, the prototype highlighting clinical change was associated with lower median (interquartile range) NASA TLX scores compared with the prototype highlighting acuity (30.3 [15.2-41.6] vs 48.5 [18.7-59.3]; P = .02). For task 2, the prototype highlighting clinical change was associated with lower median (interquartile range) NASA TLX scores compared with the prototype highlighting the clinical problem list (29.1 [16.3-50.8] vs 43.5 [26.6-55.9]; P = .02). The prototype highlighting clinical change had the lowest TLX score in 17 of 29 rankings (59%) for task 1 (χ24 = 24.4; P < .001) and 18 of 29 rankings (62%) for task 2 (χ24 = 17.2; P = .002).

CONCLUSIONS AND RELEVANCE

In this study, well-designed EHR-based information visualizations that highlighted and featured clinically meaningful information patterns significantly reduced physician cognitive workload when prioritizing patient needs.

Health information technology:Fallacies and Sober realities - Redux A homage to Bentzi Karsh and Robert Wears

Since the publication of "Health Information Technology: Fallacies and Sober Realities" in 2010, health information technology (HIT) has become nearly ubiquitous in US healthcare facilities. Yet, HIT has yet to achieve its putative benefits of higher quality, safer, and lower cost care. There has been variable but largely marginal progress at addressing the 12 HIT fallacies delineated in the original paper. Here, we revisit several of the original fallacies and add five new ones. These fallacies must be understood and addressed by all stakeholders for HIT to be a positive force in achieving the high value healthcare system the nation deserves. Foundational cognitive and human factors engineering research and development continue to be essential to HIT development, deployment, and use.

Patient, family and provider experiences with transfers from intensive care unit to hospital ward: a multicentre qualitative study

BACKGROUND

Transfer of patient care from an intensive care unit (ICU) to a hospital ward is often challenging, high risk and inefficient. We assessed patient and provider perspectives on barriers and facilitators to high-quality transfers and recommendations to improve the transfer process.

METHODS

We conducted semistructured interviews of participants from a multicentre prospective cohort study of ICU transfers conducted at 10 hospitals across Canada. We purposively sampled 1 patient, 1 family member of a patient, 1 ICU provider, and 1 ward provider at each of the 8 English-speaking sites. Qualitative content analysis was used to derive themes, subthemes and recommendations.

RESULTS

The 35 participants described 3 interrelated, overarching themes perceived as barriers or facilitators to high-quality patient transfers: resource availability, communication and institutional culture. Common recommendations suggested to improve ICU transfers included implementing standardized communication tools that streamline provider-provider and provider-patient communication, using multimodal communication to facilitate timely, accurate, durable and mutually reinforcing information transfer; and developing procedures to manage delays in transfer to ensure continuity of care for patients in the ICU waiting for a hospital ward bed.

INTERPRETATION

Patient and provider perspectives attribute breakdown of ICU-to-ward transfers of care to resource availability, communication and institutional culture. Patients and providers recommend standardized, multimodal communication and transfer procedures to improve quality of care.

Reconceptualizing the Electronic Health Record for a New Decade: A Caring Technology?

Since the 2009 publication by Petrovskaya et al on, "Dilemmas, Tetralemmas, Reimagining the Electronic Health Record," and passage of the Health Information Technology for Economic Clinical Health (HITECH) Act, 96% of hospitals and 78% of providers have implemented the electronic health record. While many positive outcomes such as guidelines-based clinical decision support and patient portals have been realized, we explore recent issues in addition to those continuing problems identified by Petrovskaya et al that threaten patient safety and integrity of the profession. To address these challenges, we integrate polarity thinking with the tetralemma model discussed by Petrovskaya et al and propose application of a virtue ethics framework focused on cultivation of technomoral wisdom.

The role of 'mediators' of communication in health professionals' intersectoral collaboration: An ethnographically inspired study

Several studies describe intersectoral collaboration in Western healthcare as hampered by lack of coordination of care and treatment and incoherent patient pathways. We performed an ethnographic study following elderly patients from admission to an emergency unit (EMU) to discharge and further treatment and care at other facilities in the healthcare system. The aim was to explore how health professionals work together across sectors in the Danish healthcare system and how they create patient pathways for elderly patients (+65) with multiple chronic illnesses. Intersectoral collaboration was identified as distant relations between large numbers of health professionals, where communication was conveyed by electronic health record (EHR) formats which promoted information delivery that focused on patients' immediate symptoms. Other significant 'mediators' of communication were the telephone that seemed to resemble face-to-face communication and the patient who delivered information from one professional to another. We suggest that the communication among professionals at various facilities interacts with the format and functionalities of the EHRs, which typically fall short in delivery of information across sectors, because the often complex needs of patients with multimorbidity do not fit in with the available functionalities of the EHR.

An automatic diagnostic system based on deep learning, to diagnose hyperlipidemia

Background: Using artificial intelligence to assist in diagnosing diseases has become a contemporary research hotspot. Conventional automatic diagnostic method uses a conventional machine learning algorithm to distinguish features from which a professional doctor manually extracts features in diagnostic reports. But it can be difficult to collect large amounts of necessary medical data. Therefore, these methods face challenges with efficiency and accuracy. Method: Here, we proposed an automatic diagnostic system based on a deep learning algorithm to diagnose hyperlipidemia by using human physiological parameters. This model is a neural network which uses technologies of data extension and data correction. Firstly, we corrected and supplemented the original data by the method mentioned previously to solve the problem of lacking data. Secondly, the processed data were used to train a deep learning model. Deep learning model can automatically extract all the available information instead of artificially reducing the raw data. Therefore, it can reduce labor costs. The classifiers classify the data by using features previously mentioned. Finally, the system was evaluated with data from a test dataset. Result: It achieved 91.49% accuracy, 87.50% sensitivity, 93.33% specificity, and 87.50% precision with data from the test dataset. Conclusion: The proposed diagnostic method has a highly robust and accurate performance, and can be used for tentative diagnosis. It can automatically diagnose diseases by using human physiological parameters, thereby reducing labor cost, which results in effective improvement of clinical diagnostic efficiency.

The electronic health record's impact on nurses' cognitive work: An integrative review

BACKGROUND

Technology use can impact human performance and cognitive function, but few studies have sought to understand the electronic health record's impact on these dimensions of nurses' work.

OBJECTIVE

The purpose of this review was to synthesize the literature on the electronic health record's impact on nurses' cognitive work.

DESIGN

Integrative review.

DATA SOURCES

MEDLINE/PubMed, CINAHL, Embase, Web of Science, and PsycINFO.

REVIEW METHODS

The literature search focused on 3 concepts: the electronic health record, cognition, and nursing practice, and yielded 4910 articles. Following a stepwise process of duplicate removal, title and abstract review, full text review, and reference list searches, a total of 18 studies were included: 12 qualitative, 4 mixed-methods, and 2 quantitative studies from the United States (13), Scandinavia (2), Australia (1), Austria (1), and Canada (1). The Mixed Methods Appraisal Tool was used to assess the quality of eligible studies.

RESULTS

Five themes identified how nurses and other clinicians used the electronic health record and perceived its impact: 1) forming and maintaining an overview of the patient, 2) cognitive work of navigating the electronic health record, 3) use of cognitive tools, 4) forming and maintaining a shared understanding of the patient, and 5) loss of information and professional domain knowledge. Most studies indicated that forming and maintaining an overview of the patient at both the individual and team level were difficult when using the electronic health record. Navigating the volumes of information was challenging and increased clinicians' cognitive work. Information was perceived to be scattered and fragmented, making it difficult to see the chronology of events and to situate and understand the clinical implications of various data. The template-driven nature of documentation and limitations on narrative notes restricted clinicians' ability to express their clinical reasoning and decipher the reasoning of colleagues. Summary reports and handoff tools in the electronic health record proved insufficient as stand-alone tools to support nurses' work throughout the shift and during handoff, causing them to rely on self-made paper forms. Nurses needed tools that facilitated their ability to individualize and contextualize information in order to make it clinically meaningful.

CONCLUSION

The electronic health record was perceived by nurses as an impediment to contextualizing and synthesizing information, communicating with other professionals, and structuring patient care. Synthesizing and communicating information at the individual and team levels are known drivers of patient safety. The findings from this review have implications for electronic health record design.

Using electronic patient records: defining learning outcomes for undergraduate education

BACKGROUND

Healthcare professionals are required to access, interpret and generate patient data in the digital environment, and use this information to deliver and optimise patient care. Healthcare students are rarely exposed to the technology, or given the opportunity to use this during their training, which can impact on the digital competence of the graduating workforce. In this study we set out to develop and define domains of competence and associated learning outcomes needed by healthcare graduates to commence working in a digital healthcare environment.

METHOD

A National Working Group was established in the UK to integrate Electronic Patient Records (EPRs) into undergraduate education for healthcare students studying medicine, pharmacy, nursing and midwifery. The working group, comprising 12 academic institutions and representatives from NHS England, NHS Digital and EPR system providers, met to discuss and document key learning outcomes required for using EPRs in the healthcare environment. Outcomes were grouped into six key domains and refined by the group prior to external review by experts working in medical education or with EPRs.

RESULTS

Six key domains of competence and associated learning outcomes were identified and defined. External expert review provided iterative refinement and amendment. The agreed domains were: 1) Digital Health: work as a practitioner in the digital healthcare environment; 2) Accessing Data: access and interpret patient data to inform clinical decision-making; 3) Communication: communicate effectively with healthcare professionals and patients in the digital environment; 4) Generating data: generate data for and about patients within the EPR; 5) Multidisciplinary working: work with healthcare professionals with and alongside EPRs; and 6) Monitoring and audit: monitor and improve the quality and safety of healthcare.

CONCLUSION

The six domains of competence and associated learning outcomes can be used by academics to guide the integration of EPRs into undergraduate healthcare programmes. This is key to ensuring that the future healthcare workforce can work with and alongside EPRs.

The impact of computerised physician order entry and clinical decision support on pharmacist-physician communication in the hospital setting: A qualitative study

BACKGROUND

The implementation of Computerised Physician Order Entry (CPOE) and Clinical Decision Support (CDS) has been found to have some unintended consequences. The aim of this study is to explore pharmacists and physicians perceptions of their interprofessional communication in the context of the technology and whether electronic messaging and CDS has an impact on this.

METHOD

This qualitative study was conducted in two acute hospitals: the University Hospitals Birmingham NHS Foundation Trust (UHBFT) and Guy's and St Thomas' NHS Foundation Trust (GSTH). UHBFT use an established locally developed CPOE system that can facilitate pharmacist-physician communication with the ability to assign a message directly to an electronic prescription. In contrast, GSTH use a more recently implemented commercial system where such communication is not possible. Focus groups were conducted with pharmacists and physicians of varying grades at both hospitals. Focus group data were transcribed and analysed thematically using deductive and inductive approaches, facilitated by NVivo 10.

RESULTS

Three prominent themes emerged during the study: increased communication load; impaired decision-making; and improved workflow. CPOE and CDS were found to increase the communication load for the pharmacist owing to a reduced ability to amend electronic prescriptions, new types of prescribing errors, and the provision of technical advice relating to the use of the system. Decision-making was found to be affected, owing to the difficulties faced by pharmacists and physicians when trying to determine the context of prescribing decisions and knowledge of the patient. The capability to communicate electronically facilitated a non-interruptive workflow, which was found to be beneficial for staff time, coordination of work and for limiting distractions.

CONCLUSION

The increased communication load for the pharmacist, and consequent workload for the physician, has the potential to impact on the quality and coordination of care in the hospital setting. The ability to communicate electronically has some benefits, but functions need to be designed to facilitate collaborative working, and for this to be optimised through interprofessional training.

Effectiveness of a computerised system of patient education in clinical practice: a longitudinal nested cohort study

INTRODUCTION

Developing electronic health record information systems is an international trend for promoting the integration of health information and enhancing the quality of medical services. Patient education is a frequent intervention in nursing care, and recording the amount and quality of patient education have become essential in the nursing record. The aims of this study are (1): to develop a high-quality Patient Education Assessment and Description Record System (PEADRS) in the electronic medical record (2); to examine the effectiveness of the PEADRS on documentation and nurses' satisfaction (3); to facilitate communication and cooperation between professionals.

METHODS AND ANALYSIS

A quasi-experimental design and random sampling will be used. The participants are nurses who are involved in patient education by using traditional record or the PEADRS at a medical centre. A prospective longitudinal nested cohort study will be conducted to compare the effectiveness of the PEADRS, including (1): the length of nursing documentation (2); satisfaction with using the PEADRS; and (3) the benefit to professional cooperation.

ETHICS AND DISSEMINATION

Patient privacy will be protected according to Electronic Medical Record Management Practices of the hospital. This study develops a patient education digital record system, which would profit the quality of clinical practice in health education. The results will be published in peer-reviewed journals and will be presented at scientific conferences.

Tobacco use status from clinical notes using Natural Language Processing and rule based algorithm

BACKGROUND

This cross-sectional retrospective study utilized Natural Language Processing (NLP) to extract tobacco-use associated variables from clinical notes documented in the Electronic Health Record (EHR).

OBJECITVE

To develop a rule-based algorithm for determining the present status of the patient's tobacco-use.

METHODS

Clinical notes (n= 5,371 documents) from 363 patients were mined and classified by NLP software into four classes namely: "Current Smoker", "Past Smoker", "Nonsmoker" and "Unknown". Two coders manually classified these documents into above mentioned classes (document-level gold standard classification (DLGSC)). A tobacco-use status was derived per patient (patient-level gold standard classification (PLGSC)), based on individual documents' status by the same two coders. The DLGSC and PLGSC were compared to the results derived from NLP and rule-based algorithm, respectively.

RESULTS

The initial Cohen's kappa (n= 1,000 documents) was 0.9448 (95% CI = 0.9281-0.9615), indicating a strong agreement between the two raters. Subsequently, for 371 documents the Cohen's kappa was 0.9889 (95% CI = 0.979-1.000). The F-measures for the document-level classification for the four classes were 0.700, 0.753, 0.839 and 0.988 while the patient-level classifications were 0.580, 0.771, 0.730 and 0.933 respectively.

CONCLUSIONS

NLP and the rule-based algorithm exhibited utility for deriving the present tobacco-use status of patients. Current strategies are targeting further improvement in precision to enhance translational value of the tool.

How Do Experienced Physicians Access and Evaluate Laboratory Test Results for the Chronic Patient? A Qualitative Analysis

BACKGROUND

Electronic health records may present laboratory test results in a variety of ways. Little is known about how the usefulness of different visualizations of laboratory test results is influenced by the complex and varied process of clinical decision making.

OBJECTIVE

The purpose of this study was to investigate how clinicians access and utilize laboratory test results when caring for patients with chronic illness.

METHODS

We interviewed 10 attending physicians about how they access and assess laboratory tests when following up patients with chronic illness. The interviews were audio-recorded, transcribed verbatim, and analyzed qualitatively.

RESULTS

Informants preferred different visualizations of laboratory test results, depending on what aspects of the data they were interested in. As chronic patients may have laboratory test results that are permanently outside standardized reference ranges, informants would often look for significant change, rather than exact values. What constituted significant change depended on contextual information (e.g., the results of other investigations, intercurrent diseases, and medical interventions) spread across multiple locations in the electronic health record. For chronic patients, the temporal relations between data could often be of special interest. Informants struggled with finding and synthesizing fragmented information into meaningful overviews.

CONCLUSION

The presentation of laboratory test results should account for the large variety of associated contextual information needed for clinical comprehension. Future research is needed to improve the integration of the different parts of the electronic health record.

Digital Care in Epilepsy: A Conceptual Framework for Technological Therapies

Epilepsy is associated with a significant increase in morbidity and mortality. The likelihood is significantly greater for those patients with specific risk factors. Identifying those at greatest risk of injury and providing expert management from the earliest opportunity is made more challenging by the circumstances in which many such patients present. Despite increasing recognition of the importance of earlier identification of those at risk, there is little or no improvement in outcomes over more than 30 years. Despite ever increasing sophistication of drug development and delivery, there has been no meaningful improvement in 1-year seizure freedom rates over this time. However, in the last few years, there has been an increase in patient-triggered interventions based on automated monitoring of indicators and risk factors facilitated by technological advances. The opportunities such approaches provide will only be realized if accompanied by current working practice changes. Replacing traditional follow-up appointments at arbitrary intervals with dynamic interventions, remotely and at the point and place of need provides a better chance of a substantial reduction in seizures for people with epilepsy. Properly implemented, electronic platforms can offer new opportunities to provide expert advice and management from first presentation thus improving outcomes. This perspective paper provides and proposes an informed critical opinion built on current evidence base of an outline techno-therapeutic approach to harnesses these technologies. This conceptual framework is generic, rather than tied to a specific product or solution, and the same generalized approach could be beneficially applied to other long-term conditions.

Transfers from intensive care unit to hospital ward: a multicentre textual analysis of physician progress notes

BACKGROUND

Little is known about documentation during transitions of patient care between clinical specialties. Therefore, we examined the focus, structure and purpose of physician progress notes for patients transferred from the intensive care unit (ICU) to hospital ward to identify opportunities to improve communication breaks.

METHODS

This was a prospective cohort study in ten Canadian hospitals. We analyzed physician progress notes for consenting adult patients transferred from a medical-surgical ICU to hospital ward. The number, length, legibility and content of notes was counted and compared across care settings using mixed-effects linear regression models accounting for clustering within hospitals. Qualitative content analyses were conducted on a stratified random sample of 32 patients.

RESULTS

A total of 447 patient medical records that included 7052 progress notes (mean 2.1 notes/patient/day 95% CI 1.9-2.3) were analyzed. Notes written by the ICU team were significantly longer than notes written by the ward team (mean lines of text 21 vs. 15, p < 0.001). There was a discrepancy between documentation of patient issues in the last ICU and first ward notes; mean agreement of patient issues was 42% [95% CI 31-53%]. Qualitative analyses identified eight themes related to focus (central point - e.g., problem list), structure (organization, - e.g., note-taking style), and purpose (intention - e.g., documentation of patient course) of the notes that varied across clinical specialties and physician seniority.

CONCLUSIONS

Important gaps and variations in written documentation during transitions of patient care between ICU and hospital ward physicians are common, and include discrepancies in documentation of patient information.

Person-centred care in a digital hospital: observations and perspectives from a specialist rehabilitation setting

Objective This study investigated use of electronic medical records (eMRs) in a spinal cord injury rehabilitation unit and the implications for person-centred care. Methods This exploratory mixed-methods study conducted 17.5 hours of observations of practitioner–patient encounters, 50 patient-experience surveys and 10 focus groups with 53 practitioners. Descriptive statistics and qualitative analysis were integrated into key themes. Results Practitioners in this specialised setting were reconciling the emergent challenges of eMR in practice with the advantages of improved accessibility and documentation legibility. eMR increased task complexity and information retrieval, particularly for nurses. Some documentation was an uneasy fit with the specialised setting, disrupting informal communications and aspects of person-centred care. Conclusions Technological change closely aligned with frontline practice brought expected and unexpected challenges that may resolve over time. Practitioners’ persistence and adaptability demonstrated their commitment to person-centred care in the digital environment. The impact of this less visible work of professional discretion seemed to vary, primarily by discipline-specific roles, with nurses experiencing the greatest pressure. What is known about this topic? Integrated electronic medical records (eMRs) bring benefits but challenge person-centred care. What does this paper add? These first insights regarding frontline implementation of eMR in spinal injury rehabilitation suggest nursing challenges when seeking to fit specialised work into the generic eMR. However, most patients reported receiving person-centred care. What are the implications for practitioners? Commitment to person-centred care appears to strengthen practitioners’ perseverance with the eMR implementation challenges.

A Multisite Survey Study of EMR Review Habits, Information Needs, and Display Preferences among Medical ICU Clinicians Evaluating New Patients

OBJECTIVE

The electronic chart review habits of intensive care unit (ICU) clinicians admitting new patients are largely unknown but necessary to inform the design of existing and future critical care information systems.

METHODS

We conducted a survey study to assess the electronic chart review practices, information needs, workflow, and data display preferences among medical ICU clinicians admitting new patients. We surveyed rotating residents, critical care fellows, advanced practice providers, and attending physicians at three Mayo Clinic sites (Minnesota, Florida, and Arizona) via email with a single follow-up reminder message.

RESULTS

Of 234 clinicians invited, 156 completed the full survey (67% response rate). Ninety-two percent of medical ICU clinicians performed electronic chart review for the majority of new patients. Clinicians estimated spending a median (interquartile range (IQR)) of 15 (10-20) minutes for a typical case, and 25 (15-40) minutes for complex cases, with no difference across training levels. Chart review spans 3 or more years for two-thirds of clinicians, with the most relevant categories being imaging, laboratory studies, diagnostic studies, microbiology reports, and clinical notes, although most time is spent reviewing notes. Most clinicians (77%) worry about overlooking important information due to the volume of data (74%) and inadequate display/organization (63%). Potential solutions are chronologic ordering of disparate data types, color coding, and explicit data filtering techniques. The ability to dynamically customize information display for different users and varying clinical scenarios is paramount.

CONCLUSION

Electronic chart review of historical data is an important, prevalent, and potentially time-consuming activity among medical ICU clinicians who would benefit from improved information display systems.

Health IT Usability Focus Section: Data Use and Navigation Patterns among Medical ICU Clinicians during Electronic Chart Review

Background A detailed understanding of electronic health record (EHR) workflow patterns and information use is necessary to inform user-centered design of critical care information systems. While developing a longitudinal medical record visualization tool to facilitate electronic chart review (ECR) for medical intensive care unit (MICU) clinicians, we found inadequate research on clinician–EHR interactions. Objective We systematically studied EHR information use and workflow among MICU clinicians to determine the optimal selection and display of core data for a revised EHR interface. Methods We conducted a direct observational study of MICU clinicians performing ECR for unfamiliar patients during their routine daily practice at an academic medical center. Using a customized manual data collection instrument, we unobtrusively recorded the content and sequence of EHR data reviewed by clinicians. Results We performed 32 ECR observations among 24 clinicians. The median (interquartile range [IQR]) chart review duration was 9.2 (7.3–14.7) minutes, with the largest time spent reviewing clinical notes (44.4%), laboratories (13.3%), imaging studies (11.7%), and searching/scrolling (9.4%). Historical vital sign and intake/output data were never viewed in 31% and 59% of observations, respectively. Clinical notes and diagnostic reports were browsed ≥10 years in time for 60% of ECR sessions. Clinicians viewed a median of 7 clinical notes, 2.5 imaging studies, and 1.5 diagnostic studies, typically referencing a select few subtypes. Clinicians browsed a median (IQR) of 26.5 (22.5–37.25) data screens to complete their ECR, demonstrating high variability in navigation patterns and frequent back-and-forth switching between screens. Nonetheless, 47% of ECRs begin with review of clinical notes, which were also the most common navigation destination. Conclusion Electronic chart review centers around the viewing of clinical notes among MICU clinicians. Convoluted workflows and prolonged searching activities indicate room for system improvement. Using study findings, specific design recommendations to enhance usability for critical care information systems are provided.

Integrating Social Determinants of Health into Primary Care Clinical and Informational Workflow during Care Transitions

Context:

Care continuity during transitions between the hospital and home requires reliable communication between providers and settings and an understanding of social determinants that influence recovery.

Case Description:

The coordinating transitions intervention uses real time alerts, delivered directly to the primary care practice for complex chronically ill patients discharged from an acute care setting, to facilitate nurse care coordinator led telephone outreach. The intervention incorporates claims-based risk stratification to prioritize patients for follow-up and an assessment of social determinants of health using the Patient-centered Assessment Method (PCAM). Results from transitional care are stored and transmitted to qualified healthcare providers across the continuum.

Findings:

Reliance on tools that incorporated interoperability standards facilitated exchange of health information between the hospital and primary care. The PCAM was incorporated into both the clinical and informational workflow through the collaboration of clinical, industry, and academic partners. Health outcomes improved at the study practice over their baseline and in comparison with control practices and the regional Medicaid population.

Major Themes:

Current research supports the potential impact of systems approaches to care coordination in improving utilization value after discharge. The project demonstrated that flexibility in developing the informational and clinical workflow was critical in developing a solution that improved continuity during transitions. There is additional work needed in developing managerial continuity across settings such as shared comprehensive care plans.

Conclusions:

New clinical and informational workflows which incorporate social determinant of health data into standard practice transformed clinical practice and improved outcomes for patients.

Are informed policies in place to promote safe and usable EHRs? A cross-industry comparison

OBJECTIVE

Despite federal policies put in place by the Office of the National Coordinator (ONC) to promote safe and usable electronic health record (EHR) products, the usability of EHRs continues to frustrate providers and have patient safety implications. This study sought to compare government policies on usability and safety, and methods of examining compliance to those policies, across 3 federal agencies: the ONC and EHRs, the Federal Aviation Administration (FAA) and avionics, and the Food and Drug Administration (FDA) and medical devices. Our goal was to identify whether differences in policies exist and, if they do exist, how policies and enforcement mechanisms from other industries might be applied to optimize EHR usability.

METHOD

We performed a qualitative study using publicly available governing documents to examine similarities and differences in usability and safety policies across agencies.

RESULTS

The policy review and analysis revealed several consistencies within each agency's usability policies. Critical differences emerged in the usability standards and policy enforcement mechanisms utilized by the 3 agencies. The FAA and FDA look at evidence of usability processes and are more prescriptive when it comes to testing final products as compared to the ONC, which relies on attestation and is less prescriptive.

DISCUSSION

A comparison of usability policies across industries illustrates key differences between the ONC and other federal agencies. These differences could be contributing to the usability challenges associated with EHRs.

CONCLUSION

Our analysis highlights important areas of usability and safety policy from other industries that can better inform ONC policies on EHRs.

Two years of unintended consequences: introducing an electronic health record system in a hospice in Scotland

AIMS AND OBJECTIVES

To explore the impact of implementing an electronic health record system on staff at a Scottish hospice.

BACKGROUND

Electronic health records are broadly considered preferable to paper-based systems. However, changing from one system to the other is difficult. This study analysed the impact of this change in a Scottish hospice.

DESIGN

Naturalistic prospective repeated-measures mixed-methods approach.

METHODS

Data on the usability of the system, staff engagement and staff experience were obtained at four time points spanning 30 months from inception. Quantitative data were obtained from surveys, and qualitative from concurrent analysis of free-text comments and focus group. Participants were all 150 employees of a single hospice in Scotland.

RESULTS

Both system usability and staff engagement scores decreased for the first two years before recovering at 30 months. Staff experience data pointed to two main challenges: (1) Technical issues, with subthemes of accessibility and usability. (2) Cultural issues, with subthemes of time, teamwork, care provision and perception of change.

CONCLUSIONS

It took 30 months for system usability and staff engagement scores to rise, after falling significantly for the first two years. The unintended outcomes of implementation included challenges to the way the patient story was both recorded and communicated. Nevertheless, this process of change was found to be consistent with the 'J-curve' theory of organisational change, and as such, it is both predictable and manageable for other organisations.

RELEVANCE TO CLINICAL PRACTICE

It is known that implementing an electronic health record system is complex. This paper puts parameters on this complexity by defining both the nature of the complexity ('J' curve) and the time taken for the organisation to begin recovery from the challenges (two years). Understanding these parameters will help health organisations across the world plan more strategically.

Integrating social context into comprehensive shared care plans: A scoping review

Background

Failure to address social determinants of health (SDH) may contribute to the problem of readmissions in high-risk individuals. Comprehensive shared care plans (CSCP) may improve care continuity and health outcomes by communicating SDH risk factors across settings.

Purpose

The purpose of this study to evaluate the state of knowledge for integrating SDH into a CSCP. Our scoping review of the literature considered 13,886 articles, of which seven met inclusion criteria.

Results

Identified themes were: integrate health and social sectors; interoperability; standardizing ontologies and interventions; process implementation; professional tribalism; and patient centeredness.

Discussion

There is an emerging interest in bridging the gap between health and social service sectors. Standardized ontologies and theoretical definitions need to be developed to facilitate communication, indexing, and data retrieval.

Conclusions

We identified a gap in the literature that indicates that foundational work will be required to guide the development of a CSCP that includes SDH that can be shared across settings. The lack of studies published in the United States suggests that this is a critical area for future research and funding.

Methods for Addressing Technology-induced Errors: The Current State

OBJECTIVES

The objectives of this paper are to review and discuss the methods that are being used internationally to report on, mitigate, and eliminate technology-induced errors.

METHODS

The IMIA Working Group for Health Informatics for Patient Safety worked together to review and synthesize some of the main methods and approaches associated with technology- induced error reporting, reduction, and mitigation. The work involved a review of the evidence-based literature as well as guideline publications specific to health informatics.

RESULTS

The paper presents a rich overview of current approaches, issues, and methods associated with: (1) safe HIT design, (2) safe HIT implementation, (3) reporting on technology-induced errors, (4) technology-induced error analysis, and (5) health information technology (HIT) risk management. The work is based on research from around the world.

CONCLUSIONS

Internationally, researchers have been developing methods that can be used to identify, report on, mitigate, and eliminate technology-induced errors. Although there remain issues and challenges associated with the methodologies, they have been shown to improve the quality and safety of HIT. Since the first publications documenting technology-induced errors in healthcare in 2005, we have seen in a short 10 years researchers develop ways of identifying and addressing these types of errors. We have also seen organizations begin to use these approaches. Knowledge has been translated into practice in a short ten years whereas the norm for other research areas is of 20 years.