The Paradoxes of Digital Tools in Hospitals: Qualitative Interview Study.

BACKGROUND: Digital tools are progressively reshaping the daily work of health care professionals (HCPs) in hospitals. While this transformation holds substantial promise, it leads to frustrating experiences, raising concerns about negative impacts on clinicians' well-being. OBJECTIVE: The goal of this study was to comprehensively explore the lived experiences of HCPs navigating digital tools throughout their daily routines. METHODS: Qualitative in-depth interviews with 52 HCPs representing 24 medical specialties across 14 hospitals in Switzerland were performed. RESULTS: Inductive thematic analysis revealed 4 main themes: digital tool use, workflow and processes, HCPs' experience of care delivery, and digital transformation and management of change. Within these themes, 6 intriguing paradoxes emerged, and we hypothesized that these paradoxes might partly explain the persistence of the challenges facing hospital digitalization: the promise of efficiency and the reality of inefficiency, the shift from face to face to interface, juggling frustration and dedication, the illusion of information access and trust, the complexity and intersection of workflows and care paths, and the opportunities and challenges of shadow IT. CONCLUSIONS: Our study highlights the central importance of acknowledging and considering the experiences of HCPs to support the transformation of health care technology and to avoid or mitigate any potential negative experiences that might arise from digitalization. The viewpoints of HCPs add relevant insights into long-standing informatics problems in health care and may suggest new strategies to follow when tackling future challenges.

Evaluating the Prevalence of Burnout Among Health Care Professionals Related to Electronic Health Record Use: Systematic Review and Meta-Analysis.

BACKGROUND: Burnout among health care professionals is a significant concern, with detrimental effects on health care service quality and patient outcomes. The use of the electronic health record (EHR) system has been identified as a significant contributor to burnout among health care professionals. OBJECTIVE: This systematic review and meta-analysis aims to assess the prevalence of burnout among health care professionals associated with the use of the EHR system, thereby providing evidence to improve health information systems and develop strategies to measure and mitigate burnout. METHODS: We conducted a comprehensive search of the PubMed, Embase, and Web of Science databases for English-language peer-reviewed articles published between January 1, 2009, and December 31, 2022. Two independent reviewers applied inclusion and exclusion criteria, and study quality was assessed using the Joanna Briggs Institute checklist and the Newcastle-Ottawa Scale. Meta-analyses were performed using R (version 4.1.3; R Foundation for Statistical Computing), with EndNote X7 (Clarivate) for reference management. RESULTS: The review included 32 cross-sectional studies and 5 case-control studies with a total of 66,556 participants, mainly physicians and registered nurses. The pooled prevalence of burnout among health care professionals in cross-sectional studies was 40.4% (95% CI 37.5%-43.2%). Case-control studies indicated a higher likelihood of burnout among health care professionals who spent more time on EHR-related tasks outside work (odds ratio 2.43, 95% CI 2.31-2.57). CONCLUSIONS: The findings highlight the association between the increased use of the EHR system and burnout among health care professionals. Potential solutions include optimizing EHR systems, implementing automated dictation or note-taking, employing scribes to reduce documentation burden, and leveraging artificial intelligence to enhance EHR system efficiency and reduce the risk of burnout. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42021281173; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021281173.

Investigating the Impact of Automation on the Health Care Workforce Through Autonomous Telemedicine in the Cataract Pathway: Protocol for a Multicenter Study.

BACKGROUND: While digital health innovations are increasingly being adopted by health care organizations, implementation is often carried out without considering the impacts on frontline staff who will be using the technology and who will be affected by its introduction. The enthusiasm surrounding the use of artificial intelligence (AI)-enabled digital solutions in health care is tempered by uncertainty around how it will change the working lives and practices of health care professionals. Digital enablement can be viewed as facilitating enhanced effectiveness and efficiency by improving services and automating cognitive labor, yet the implementation of such AI technology comes with challenges related to changes in work practices brought by automation. This research explores staff experiences before and after care pathway automation with an autonomous clinical conversational assistant, Dora (Ufonia Ltd), that is able to automate routine clinical conversations. OBJECTIVE: The primary objective is to examine the impact of AI-enabled automation on clinicians, allied health professionals, and administrators who provide or facilitate health care to patients in high-volume, low-complexity care pathways. In the process of transforming care pathways through automation of routine tasks, staff will increasingly "work at the top of their license." The impact of this fundamental change on the professional identity, well-being, and work practices of the individual is poorly understood at present. METHODS: We will adopt a multiple case study approach, combining qualitative and quantitative data collection methods, over 2 distinct phases, namely phase A (preimplementation) and phase B (postimplementation). RESULTS: The analysis is expected to reveal the interrelationship between Dora and those affected by its introduction. This will reveal how tasks and responsibilities have changed or shifted, current tensions and contradictions, ways of working, and challenges, benefits, and opportunities as perceived by those on the frontlines of the health care system. The findings will enable a better understanding of the resistance or susceptibility of different stakeholders within the health care workforce and encourage managerial awareness of differing needs, demands, and uncertainties. CONCLUSIONS: The implementation of AI in the health care sector, as well as the body of research on this topic, remain in their infancy. The project's key contribution will be to understand the impact of AI-enabled automation on the health care workforce and their work practices. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/49374.

A method to automate the discharge summary hospital course for neurology patients.

OBJECTIVE: Generation of automated clinical notes has been posited as a strategy to mitigate physician burnout. In particular, an automated narrative summary of a patient's hospital stay could supplement the hospital course section of the discharge summary that inpatient physicians document in electronic health record (EHR) systems. In the current study, we developed and evaluated an automated method for summarizing the hospital course section using encoder-decoder sequence-to-sequence transformer models. MATERIALS AND METHODS: We fine-tuned BERT and BART models and optimized for factuality through constraining beam search, which we trained and tested using EHR data from patients admitted to the neurology unit of an academic medical center. RESULTS: The approach demonstrated good ROUGE scores with an R-2 of 13.76. In a blind evaluation, 2 board-certified physicians rated 62% of the automated summaries as meeting the standard of care, which suggests the method may be useful clinically. DISCUSSION AND CONCLUSION: To our knowledge, this study is among the first to demonstrate an automated method for generating a discharge summary hospital course that approaches a quality level of what a physician would write.

From Stressful to Mindful: Reactions to a Proposed Emergency Department Design for Enhancing Mindfulness and Stress Reduction Among Healthcare Clinical Staff.

OBJECTIVES: This study explored design solutions that can help clinicians manage work-related stress, pursue mindful work, and practice relaxation and coping strategies. BACKGROUND: Clinicians are experiencing burnout at increasingly higher rates, leading to compromised patient care. While self-care and stress management strategies are shown to be effective in healthcare settings, little is known about how the design of healthcare settings can facilitate these strategies. METHODS: Using findings of a preceding study by the authors, a virtual walk-through video of a design proposal for a free-standing emergency department was built. Feedback data were collected from clinicians in 10 in-depth interviews, and emerging themes were identified using qualitative content analysis. RESULTS: Our findings suggest that work environments that reflect intentional efforts to meet clinicians' needs for stress management can enhance their feeling of being valued and sense of professional worth. Clinicians are more likely to step away from work if there are multiple spaces for bio breaks and rest breaks. Primary break rooms are preferred to be close to patient care areas, but respite/escape spaces are preferred to be distant and private from patient care areas. Participants endorsed the provision of at least one staff bathroom large enough for extra seating and one outdoor respite space. Multiple workspaces should allow the completion of various tasks with adjustable levels of privacy. CONCLUSIONS: We suggest special attention to non-institutional aesthetics, providing choice and control, increasing flexibility, promoting privacy for focused work, maximizing access to daylight and outdoors, and providing opportunities for grief support.

Lessons Learned from Clinicians in a Federally Qualified Health Center: Steps Toward Eliminating Burnout.

Background: Burnout continues to impact health care workers and its effect takes a toll on their lives and wellbeing, especially in primary care. Relatively few studies have focused specifically on the perspective of clinicians in Federally Qualified Health Centers (FQHCs), which offer crucial, preventative health care services to vulnerable and underserved patient populations. Objective: To examine the perspectives of clinicians working at an FQHC in the Northeast United States after the implementation of a year-long wellness initiative. Design: A qualitative analysis of clinician's discussion during focus groups conducted after the wellness initiative. Subjects and Setting/Location: A total of 28 clinicians (primary care physicians and nurse practitioners) in an FQHC in the Northeast United States. Interventions: A one-year wellness initiative with programs and activities designed to bolster wellness. Outcome Measures: Analyzed NVIVO-coded transcripts of focus group discussion to generate codes and used modified grounded theory to extrapolate meaningful themes. Results: Five key themes emerged from the qualitative analysis: (1) clinicians often felt burdened by their workload and personally responsible when they were not able to provide optimal care to patients; (2) burnout was exacerbated by systemic problems at the FQHC; (3) medical assistants, medical scribes, schedulers, and other support staff played a crucial role in the wellness of the entire team; (4) perceived differences in priorities between administration and health care workers may have contributed to burnout; and (5) a communicative and stable team helped clinicians effectively care for their patients. Conclusions: Clinician burnout is a complex problem at FQHCs with many root causes. Addressing burnout and improving clinician wellness at FQHCs will require a multifaceted approach encompassing systemic, team, and individual components. The perspectives from the clinicians at our FQHC may inform wellness strategies for other safety net, clinical institutions in the primary care setting.

Let's Talk About it: The Utility of Formalized Support for Medical Residents.

Medical residents are significantly impacted by burnout and depression. Recent events have only further increased the pressure and demands on the healthcare sector, intensifying the burden facing residents and posing a threat to residents' well-being. As a result, significant efforts are being made to provide formalized support and well-being programs. Yet, emergent evidence indicates that residents do not sufficiently utilize this form of support. Considering the organizational investment and focus on formalized support programs, we conducted a mixed-method study to investigate residents' utilization of formalized well-being support, and potential reasons for non-use. Our study was conducted during a period of increased work burden and stress for medical residents, where formalized support was specifically offered and targeted to medical staff. Our findings confirm earlier results of low support utilization and point to the importance of informal support mechanisms, in particular peer support. We conclude by discussing the role of managers and educational programs in facilitating a positive cultural shift to promote and support residents in seeking support.

Responding to COVID-19 While Serving Veterans Experiencing Homelessness: The Pandemic Experiences of Healthcare and Housing Providers.

The U.S. Department of Veterans Affairs (VA) provides essential care through transitional housing and healthcare for Veterans experiencing homelessness through the Grant and Per Diem (GPD) program and the Homeless Patient Aligned Care Team (HPACT), respectively. At the onset of the SARS-CoV-2 pandemic, GPD organizations and HPACT clinics faced the challenge of being essential providers tasked with ensuring the well-being of Veterans under their care. Through semi-structured interviews with 13 providers (6 HPACT health care providers representing 2 HPACT programs, and 7 GPD staff members) across the U.S., this study explored their experiences navigating the tasks of keeping Veterans safe and providing ongoing care from the start of the pandemic up to the 2021 interview dates. Both GPD and HPACT providers reported amplified safety concerns about COVID-19 infection among staff at the start of the pandemic, which diminished to a lower, stable level after a few months as adaptations made for safety became embedded in their routines. However, ongoing challenges included isolation and mental health challenges among Veterans, inherent limitations of telehealth as a care delivery avenue, provider frustration and burnout due to increased workload and frequent change, and the logistics of administering testing for Veterans to enter GPD housing. Enhanced pandemic preparedness planning for GPD organizations, funding for personal protective equipment (PPE) and providing technology to facilitate Veterans' telehealth access, and strategies for preventing provider burnout are critical to both sustaining homeless providers' capabilities during this pandemic and enhancing readiness to respond to the next public health emergency.

Relationship between electronic health records strategy and user satisfaction: a longitudinal study using clinicians' online reviews.

OBJECTIVE: We investigated how the electronic health records (EHRs) strategies concerning EHR sourcing and vendor switching impact user satisfaction over time. MATERIALS AND METHODS: This study used a novel longitudinal dataset created by scraping clinicians' Glassdoor.com reviews on 109 US health systems from 2012 to 2017 and combining it with the Healthcare Information and Management Systems Society (HIMSS) database. We performed sentiment analysis of clinician reviews to construct our main dependent variable, user satisfaction. Our main independent variables, EHR single sourcing and vendor switching, were constructed using the HIMSS database. RESULTS: Our fixed effects model showed that as health systems gain more experience with EHR, a single vendor sourcing strategy was associated with higher user satisfaction. Further, there was no significant impact of vendor switching on user satisfaction. CONCLUSION: This work adds to the current understanding of EHR-driven clinician burnout using a novel longitudinal dataset. We show how organizational-level EHR strategy can impact user satisfaction and that providers and EHR vendors can mine clinician reviews online to understand their evolving needs and sentiments.

Social Determinants of Health and After-Hours Electronic Health Record Documentation: A National Survey of US Physicians.

Identifying patients' social determinants of health (SDoH) can improve patient outcomes but may increase clinicians' documentation time. However, there is limited evidence of how many physicians document SDoH and the associated burden. To address this gap, this study examines documentation of SDoH and after-hours electronic health record (EHR) work among a nationally representative sample of US office-based physicians. This was a cross-sectional analysis of the 2018-2019 National Electronic Health Records Survey. A survey design-adjusted bivariate analysis was used to estimate the prevalence of SDoH documentation and compare this activity between physicians' and practices' characteristics. A modified multivariable Poisson model was used to estimate prevalence ratios of SDoH documentation and after-hours work. The study sample included a weighted sample of 303,389 US physicians (31.5%, female; 72.5%, aged ≥50 years; 48.8% primary care specialty). Of those, 84.3% reported documenting patients' SDoH information. Physicians documenting patients' SDoH tend to be younger (<50 years). Prevalence estimates of after-hours EHR documentation were comparable between physicians recording patients' SDoH and those not (33.7% vs. 33.0%) and this difference did not reach statistical significance in adjusted analysis (adjusted prevalence ratio, 0.94, 95% confidence interval, 0.64-1.39). Thus, documenting patients' SDoH appears to be common among US physicians, and this activity is not associated with after-hours EHR documentation. Future studies should examine how patients' SDoH information is used and its association with patient health outcomes.

A Fully Collaborative, Noteless Electronic Medical Record Designed to Minimize Information Chaos: Software Design and Feasibility Study.

BACKGROUND: Clinicians spend large amounts of their workday using electronic medical records (EMRs). Poorly designed documentation systems contribute to the proliferation of out-of-date information, increased time spent on medical records, clinician burnout, and medical errors. Beyond software interfaces, examining the underlying paradigms and organizational structures for clinical information may provide insights into ways to improve documentation systems. In particular, our attachment to the note as the major organizational unit for storing unstructured medical data may be a cause of many of the problems with modern clinical documentation. Notes, as currently understood, systematically incentivize information duplication and information scattering, both within a single clinician's notes over time and across multiple clinicians' notes. Therefore, it is worthwhile to explore alternative paradigms for unstructured data organization. OBJECTIVE: The aim of this study is to demonstrate the feasibility of building an EMR that does not use notes as the core organizational unit for unstructured data and which is designed specifically to disincentivize information duplication and information scattering. METHODS: We used specific design principles to minimize the incentive for users to duplicate and scatter information. By default, the majority of a patient's medical history remains the same over time, so users should not have to redocument that information. Clinicians on different teams or services mostly share the same medical information, so all data should be collaboratively shared across teams and services (while still allowing for disagreement and nuance). In all cases where a clinician must state that information has remained the same, they should be able to attest to the information without redocumenting it. We designed and built a web-based EMR based on these design principles. RESULTS: We built a medical documentation system that does not use notes and instead treats the chart as a single, dynamically updating, and fully collaborative workspace. All information is organized by clinical topic or problem. Version history functionality is used to enable granular tracking of changes over time. Our system is highly customizable to individual workflows and enables each individual user to decide which data should be structured and which should be unstructured, enabling individuals to leverage the advantages of structured templating and clinical decision support as desired without requiring programming knowledge. The system is designed to facilitate real-time, fully collaborative documentation and communication among multiple clinicians. CONCLUSIONS: We demonstrated the feasibility of building a non-note-based, fully collaborative EMR system. Our attachment to the note as the only possible atomic unit of unstructured medical data should be reevaluated, and alternative models should be considered.

Using a New Model of Electronic Health Record Training to Reduce Physician Burnout: A Plan for Action.

Physician burnout in the United States has been growing at an alarming rate, and health care organizations are beginning to invest significant resources in combating this phenomenon. Although the causes for burnout are multifactorial, a key issue that affects physicians is that they spend a significant proportion of their time interacting with their electronic health record (EHR) system, primarily because of the need to sift through increasing amounts of patient data, coupled with a significant documentation burden. This has led to physicians spending increasing amounts of time with the EHR outside working hours trying to catch up on paperwork ("pajama time"), which is a factor linked to burnout. In this paper, we propose an innovative model of EHR training using high-fidelity EHR simulations designed to facilitate efficient optimization of EHR use by clinicians and emphasize the importance of both lifelong learning and physician well-being.

Using Electronic Health Records to Mitigate Workplace Burnout Among Clinicians During the COVID-19 Pandemic: Field Study in Iran.

BACKGROUND: The COVID-19 pandemic spread worldwide in 2020. Notably, in the countries dealing with massive casualties, clinicians have worked in new conditions characterized by a heavy workload and a high risk of being infected. The issue of clinician burnout during the pandemic has attracted considerable attention in health care research. Electronic health records (EHRs) provide health care workers with several features to meet a health system's clinical needs. OBJECTIVE: We aim to examine how the use of EHR features affects the burnout of clinicians working in hospitals that have special wards for confirmed COVID-19 cases. METHODS: Using an online survey, we collected data from 368 physicians, physician assistants, and nurses working in six hospitals that have implemented EHRs in the city of Tehran in Iran. We used logistic regression to assess the association between burnout and awareness of EHR features, EHR system usability, concerns about COVID-19, technology solutions, hospital technology interventions, hospital preparedness, and professional efficacy adjusted for demographic and practice characteristics. RESULTS: The primary outcome of our study was self-reported burnout during the COVID-19 pandemic. Of the 368 respondents, 36% (n=134) reported having at least one symptom of burnout. Participants indicated that the leading cause of EHR-related stress is inadequate training for using technology (n=159, 43%), followed by having less face-to-face time with patients (n=140, 38%). Positive perceptions about the EHR's ease of use were associated with lower odds of burnout symptoms. More interventions, such as clear communication of regulations; transparency in policies, expectations, and goals regarding the use of technology in the clinical workflow; and hospital preparedness to cope with the challenges of the pandemic, were associated with lower odds of burnout. CONCLUSIONS: The use of EHR applications, hospital pandemic preparation programs, and transparent technology-related policies and procedures throughout the epidemic can be substantial mitigators of technology-based stress and clinician burnout. Hospitals will then be better positioned to devise or modify technology-related policies and procedures to support physicians' and nurses' well-being during the COVID-19 pandemic. Training programs, transparency in communications of regulations, and developing a clear channel for informing clinicians of changes in policies may help reduce burnout symptoms among physicians and nurses during a pandemic. Providing easily accessible mentorship through teleconsultation and 24-hour available information technology support may also help to mitigate the odds of burnout.

The impact of electronic health record-integrated patient-generated health data on clinician burnout.

Patient-generated health data (PGHD), such as patient-reported outcomes and mobile health data, have been increasingly used to improve health care delivery and outcomes. Integrating PGHD into electronic health records (EHRs) further expands the capacities to monitor patients' health status without requiring office visits or hospitalizations. By reviewing and discussing PGHD with patients remotely, clinicians could address the clinical issues efficiently outside of clinical settings. However, EHR-integrated PGHD may create a burden for clinicians, leading to burnout. This study aims to investigate how interactions with EHR-integrated PGHD may result in clinician burnout. We identify the potential contributing factors to clinician burnout using a modified FITT (Fit between Individuals, Task and Technology) framework. We found that technostress, time pressure, and workflow-related issues need to be addressed to accelerate the integration of PGHD into clinical care. The roles of artificial intelligence, algorithm-based clinical decision support, visualization format, human-computer interaction mechanism, workflow optimization, and financial reimbursement in reducing burnout are highlighted.

Feeling and thinking: can theories of human motivation explain how EHR design impacts clinician burnout?

The psychology of motivation can help us understand the impact of electronic health records (EHRs) on clinician burnout both directly and indirectly. Informatics approaches to EHR usability tend to focus on the extrinsic motivation associated with successful completion of clearly defined tasks in clinical workflows. Intrinsic motivation, which includes the need for autonomy, sense-making, creativity, connectedness, and mastery is not well supported by current designs and workflows. This piece examines existing research on the importance of 3 psychological drives in relation to healthcare technology: goal-based decision-making, sense-making, and agency/autonomy. Because these motives are ubiquitous, foundational to human functioning, automatic, and unconscious, they may be overlooked in technological interventions. The results are increased cognitive load, emotional distress, and unfulfilling workplace environments. Ultimately, we hope to stimulate new research on EHR design focused on expanding functionality to support intrinsic motivation, which, in turn, would decrease burnout and improve care.

Building the evidence-base to reduce electronic health record-related clinician burden.

Clinicians face competing pressures of being clinically productive while using imperfect electronic health record (EHR) systems and maximizing face-to-face time with patients. EHR use is increasingly associated with clinician burnout and underscores the need for interventions to improve clinicians' experiences. With an aim of addressing this need, we share evidence-based informatics approaches, pragmatic next steps, and future research directions to improve 3 of the highest contributors to EHR burden: (1) documentation, (2) chart review, and (3) inbox tasks. These approaches leverage speech recognition technologies, natural language processing, artificial intelligence, and redesign of EHR workflow and user interfaces. We also offer a perspective on how EHR vendors, healthcare system leaders, and policymakers all play an integral role while sharing responsibility in helping make evidence-based sociotechnical solutions available and easy to use.

Bolstering clinician resilience through an interprofessional, web-based nightly debriefing program for emergency departments during the COVID-19 pandemic.

The COVID-19 pandemic has instigated significant changes for health care systems. With clinician burnout rising, efforts to promote clinician resilience are essential. Within this quality improvement project, an interprofessional debriefing program (Brigham Resilience in COVID-19-pandemic Emergency Forum-BRIEF) was developed within two emergency departments (EDs). An interprofessional group of ED providers led optional, nightly debriefings using a web-based portal to connect with ED clinicians for six weeks. In total, 81 interprofessional staff participated in nightly debriefings with a 47% attendance rate. On average, three participants attended the BRIEF nightly (range = 2-8) to discuss the challenges of social distancing, scarce resources, high acuity, clinician burnout and mental health. Participation increased as rates of COVID-19 positive patients rose. Debriefing leaders provided ED leadership with summaries of clinician experiences and suggestions for improvements. Feedback supported quality improvement initiatives within the ED and greater mental health support for staff. Clinicians and administrators provided positive feedback regarding the program's impact on clinician morale, and clinical processes that promoted the safety and quality of patient care. Optional debriefing with receptive departmental leadership may be a successful tool to support clinicians and hospitals during critical events.

Electronic health records: a critical appraisal of strengths and limitations.

Electronic health record (EHR) was hailed as a major step towards making healthcare more transparent and accountable. All the developed nations digitised their health records which were meant to be safe, secure and could be accessed on demand. This was intended to benefit all stakeholders. However, the jury is still out if the EHR has been worth it. There have been incidences of data breaches despite cybersecurity checks and of manipulation compromising clinicians' integrity and patients' safety. EHRs have also been blamed for doctor burnout in overloading them with a largely avoidable administrative burden. The lack of interoperability amongst various EHR software systems is creating obstacles in seamless workflow. Artificial intelligence is now being used to overcome deficiencies of the EHR. Emerging data from real-world usage of EHR is providing useful inputs which would be helpful in making it a better system. This review critically appraises the current status and issues with the EHR and provides an overview of the key innovations which are being implemented to make the system more efficient for health care providers leading to a reduction in their administrative burden.