Telemedicine and In-Person Visit Modality Mix and Electronic Health Record Use in Primary Care.

This cross-sectional study investigates the association between day-to-day changes in telemedicine share and clinician time spent on electronic health record (EHR) use.

Identifying Electronic Health Record Contributions to Diagnostic Error in Ambulatory Settings Through Legal Claims Analysis.

This qualitative study analyzes closed legal claims data to determine whether problems with electronic health records are associated with diagnostic errors, in which part of the diagnostic process errors occur, and the specific types of errors that occur.

Race Differences in a Malpractice Event Database in a Large Healthcare System.

OBJECTIVES: This study aimed to determine whether potential malpractice events reported by employees, malpractice events involving claims, and malpractice lawsuits differ based on patient race in a large 10-hospital healthcare system. METHODS: Data in a healthcare system's malpractice database from July 1, 2012, to June 30, 2017, were stratified by patient race using "Black," "White," and "other" categories. χ2 Goodness-of-fit tests were used to compare differences in race proportions in employee-reported observations of events that could lead to payment of a claim, claims not involving the court, and lawsuits involving the court. RESULTS: There were significantly more employee-reported observations and claims for White patients and significantly fewer observations and claims for Black patients than expected based on the race proportions in the overall healthcare system patient population ( P < 0.001). There were no significant race differences in lawsuits (Black patients, P = 0.146; White patients, P = 0.061; other patients, P = 0.458). Four of the 10 hospitals in the healthcare system had significant race differences in potential malpractice events (hospital A, P < 0.001; hospital B, P = 0.011; hospital E, P < 0.001; hospital G, P = 0.010). CONCLUSIONS: Our findings reveal the existence of race differences in potential malpractice events in a large healthcare system. By proactively investigating, understanding, and addressing racial disparities in patient safety events, including those recorded in malpractice databases, healthcare systems can help advance initiatives to provide high-quality and equitable care to patients.

Pilot assessment of an on-demand telehealth 'left without being seen' follow-up programme.

INTRODUCTION: On-demand telehealth can have a high rate of patients requesting visits and dropping off without being seen by a provider, especially during the COVID-19 pandemic. METHODS: On-demand telehealth requests made to a large healthcare system in the USA between 15 March 2020 and 31 May 2020 were included for analysis with a focus on patients who were defined as left without being seen (LWBS). As part of a pilot program a registered nurse attempted to call LWBS patients within 24 hours of their telehealth request and asked if they were ok, if they sought care for their original visit reason, what that care was, or if they still needed guidance. This information and patient demographics were analyzed. RESULTS: During the study period there were 21,610 completed on-demand telehealth visits and 1852 patients for whom there were LWBS attempted follow-ups. Most patients LWBS for a reason that originated from the patient and not associated with the provider or telehealth platform. The mean wait time for LWBS patients was 12.4 min compared to patients waiting 15.1 min before engaging with a provider to complete a visit. Of the 1852 total LWBS patients in the follow-up programme, 819 (44.2%) were successfully contacted with a follow-up phone call. Most of these patients (63.2%) already completed or planned to complete a telehealth visit, 13.6% indicated they no longer needed to see a provider, and 12.8% planned or already completed an in-person visit. Only 2.2% went to an emergency department. DISCUSSION: Results suggest patients can effectively self-manage their care needs.

Electronic Health Record Legal Settlements in the US Since the 2009 Health Information Technology for Economic and Clinical Health Act.

This cross-sectional study describes allegations of misconduct by electronic health record vendors.

Development and pilot evaluation of an electronic health record usability and safety self-assessment tool.

Objective: Poor electronic health record (EHR) usability contributes to clinician burnout and poses patent safety risks. Site-specific customization and configuration of EHRs require individual EHR system usability and safety testing which is resource intensive. We developed and pilot-tested a self-administered EHR usability and safety assessment tool, focused on computerized provider order entry (CPOE), which can be used by any facility to identify specific issues. In addition, the tool provides recommendations for improvement. Materials and Methods: An assessment tool consisting of 104 questions was developed and pilot-tested at 2 hospitals, one using a Cerner EHR and the other using Epic. Five physicians at each site participated in and completed the assessment. Participant response accuracy compared to actual EHR interactions, consistency across participants, and usability issues identified through the tool were measured at each site. Results: Across sites, participants answered an average of 46 questions in 23 min with 89.9% of responses either correct or partially correct. The tool identified 8 usability and safety issues at one site and 7 at the other site across medication, laboratory, and radiology CPOE functions. Discussion: The tool shows promise as a method to rapidly evaluate EHR usability and safety and provide guidance on specific areas for improvement. Important improvements to the evaluation tool were identified including the need to clarify certain questions and provide definitions for usability terminology. Conclusion: A self-administered usability and safety assessment tool can serve to identify specific usability and safety issues in the EHR and provide guidance for improvements.

Usability and Accessibility of Publicly Available Patient Safety Databases.

OBJECTIVES: The aims of the study were to identify publicly available patient safety report databases and to determine whether these databases support safety analyst and data scientist use to identify patterns and trends. METHODS: An Internet search was conducted to identify publicly available patient safety databases that contained patient safety reports. Each database was analyzed to identify features that enable patient safety analyst and data scientist use of these databases. RESULTS: Seven databases (6 hosted by federal agencies, 1 hosted by a nonprofit organization) containing more than 28.3 million safety reports were identified. Some, but not all, databases contained features to support patient safety analyst use: 57.1% provided the ability to sort/compare/filter data, 42.9% provided data visualization, and 85.7% enabled free-text search. None of the databases provided regular updates or monitoring and only one database suggested solutions to patient safety reports. Analysis of features to support data scientist use showed that only 42.9% provided an application programing interface, most (85.7%) provided batch downloading, all provided documentation about the database, and 71.4% provided a data dictionary. All databases provided open access. Only 28.6% provided a data diagram. CONCLUSIONS: Patient safety databases should be improved to support patient safety analyst use by, at a minimum, allowing for data to be sorted/compared/filtered, providing data visualization, and enabling free-text search. Databases should also enable data scientist use by, at a minimum, providing an application programing interface, batch downloading, and a data dictionary.

Race Differences in Reported "Near Miss" Patient Safety Events in Health Care System High Reliability Organizations.

OBJECTIVES: This study aimed to determine if race differences exist in voluntarily reported near-miss patient safety events in a large integrated, 10-hospital health care system on its journey to become a high reliability organization. METHODS: From July 1, 2015, to June 30, 2017, employees in a mid-Atlantic health care system voluntarily reported near-miss events by type using an occurrence reporting system referred to as the Patient Safety Event Management System. Inpatients, outpatients, and observation patients were identified as "Black," "White," or "other" (n = 39,390). Using retrospective analysis and χ2 goodness of fit, comparisons of race proportions were conducted to determine differences at the health system level, by hospital, and by event type. RESULTS: Significant race differences existed: (1) overall across the health care system with higher proportions of events reported for Whites and lower proportions of events reported for Blacks in the Patient Safety Event Management System, (2) by site in 9 of 10 hospitals, and (3) by type. All differences were significant at P < 0.05. CONCLUSIONS: Race differences in near-miss patient safety events exist in voluntary reporting systems by type. Health care organizations, particularly health care high reliability organizations, can use these findings to help to identify areas of further study and investigation. Further study and investigation should include efforts to understand the root cause of the differences found in this study, including the role of reporting bias by race.

Lessons Learned from a Systems Approach to Engaging Patients and Families in Patient Safety Transformation.

BACKGROUND: Effective patient- and family-centered care requires a dedication to engaging patients and family members in health system redesign to improve the quality, safety, and experience of care. Provided here are lessons learned six years after establishing an infrastructure of patient and family advisory councils (PFACs) focused on improving health care quality and safety. CONTEXT: A large regional health care system with multiple hospitals and ambulatory care delivery sites in the eastern United States adopted a systemwide approach to Patient and Family Advisory Councils on Quality and Safety (PFACQSⓇ) in 2012. APPROACH: This conceptual article describes the barriers and facilitators of adopting, implementing, and sustaining the PFACQS model across a large, geographically diffuse health system. Successful strategies that emerged include active board engagement, co-creation and mentorship by experienced patient advocates to support enhanced engagement by local PFACQS community members, and clear alignment with and line of sight on organizational quality and safety goals. CONCLUSION: Implementing a robust network of PFACQS focused on improving quality and patient safety requires leadership commitment to transparency, as well as mutual respect and trust. Establishing clear guidelines, structures, and processes supports early adoption. Openness to continuous improvement and adaptations are important to program success and contribute to program sustainability.

Race Differences in Reported Harmful Patient Safety Events in Healthcare System High Reliability Organizations.

OBJECTIVES: The aim of the study was to determine whether race differences exist in voluntarily reported harmful patient safety events in a large 10 hospital healthcare system on a high reliability organization journey. METHODS: From July 1, 2015, to June 30, 2017, employees in a healthcare system based in Washington, District of Columbia, and Maryland voluntarily reported harmful patient safety events by type using a Patient Safety Event Management System. Inpatients, outpatients, and observation patients were identified as "black," "white," or "other" (N = 5038). Using retrospective analysis and χ goodness of fit, comparisons of race proportions were conducted to determine differences at the health system level, by hospital, by event type, and by severity. RESULTS: Significant race differences existed: (1) overall with higher proportions of whites and lower proportions of other in a Patient Safety Event Management System; (2) by type across races; (3) in six hospitals across races; and (4) by type and by hospital for blacks and whites. All differences were significant at P < 0.05. CONCLUSIONS: Race differences in harmful events exist in voluntary reporting systems by type and by hospital setting. Healthcare organizations, particularly healthcare high reliability organizations, can use these findings to help identify areas of further study and investigation. Further study and investigation should include efforts to understand the root cause of the differences found in this study, including the role of reporting bias.

Qualitative findings from a pilot stage implementation of a novel organizational learning tool toward operationalizing the Safety-II paradigm in health care.

'Safety-II' is a new approach to safety, which emphasizes learning proactively about how safety and efficacy are achieved in everyday frontline work. Previous research developed a new lesson-sharing tool designed based on the Safety-II approach: Resilience Engineering Tool to Improve Patient Safety (RETIPS). The tool comprises questions designed to elicit narratives of adaptations that have contributed to effectiveness in care delivery. The purpose of this study is to revise and validate the design of RETIPS. The tool was revised based on feedback of clinicians at a large multi-specialty hospital, resulting in a version customized for anesthesia residents, RETIPS-AnRes. RETIPS-AnRes was administered on a pilot-basis to anesthesia resident groups for a limited period of time. A review of the reports obtained shows a strong alignment of responses with the conceptual basis of the tool, i.e. learning about how things go well in everyday work. The exemplars include both, specific instances of successful patient care, as well as generic routines that contribute to safe and/or effective care delivery. These findings support RETIPS as a tool to operationalize the Safety-II paradigm in healthcare. Lessons and implications for implementation on a wider scale are discussed.