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1.
JAMA Netw Open ; 6(7): e2321955, 2023 Jul 03.
Article in English | MEDLINE | ID: mdl-37410468

ABSTRACT

This cross-sectional study assesses variation in the provision of telemedicine services among primary care physicians and quantifies the extent to which this variation may be explained by the individual physician vs temporal, patient, or visit factors.


Subject(s)
Physicians , Telemedicine , Humans
2.
J Patient Saf ; 19(1): e25-e30, 2023 01 01.
Article in English | MEDLINE | ID: mdl-36538341

ABSTRACT

BACKGROUND: Diagnostic errors are a major source of patient harm, most of which are caused by cognitive errors and biases. Despite research showing the relationship between software systems and cognitive processes, the impact of the electronic health record (EHR) on diagnostic error remains unknown. METHODS: We conducted a scoping review of the scientific literature to (1) survey the association between aspects of the EHR and diagnostic error, and (2) through a human-systems integration lens, identify the types of EHR issues and their impact on the stages of the diagnostic process. RESULTS: We analyzed 11 research articles for the relationship between EHR use and diagnostic error. These articles highlight specific technical, usability, and workflow issues with the EHR that pose risks for diagnostic error at every stage of the diagnostic process. DISCUSSION: Although technical problems such as EHR interoperability and data integrity pose critical issues for the diagnostic process, usability and workflow issues such as poor display design, and inability to track test results also hamper clinicians' ability to track, process, and act in the diagnostic process. Current research methods have limited coverage over clinical settings, are not standardized, and rarely include measures of patient harm. CONCLUSIONS: The available evidence shows that EHRs pose risks for diagnostic error throughout the diagnostic process, with most issues involving their incompatibility with providers' cognitive processing. A structured and systematic model of collecting and reporting on these errors is needed to understand how the EHR shapes the diagnostic process and improve diagnostic accuracy.


Subject(s)
Electronic Health Records , Patient Harm , Humans , Software , Surveys and Questionnaires , Diagnostic Errors/prevention & control
3.
NPJ Digit Med ; 5(1): 141, 2022 Sep 09.
Article in English | MEDLINE | ID: mdl-36085158

ABSTRACT

The expanded availability of telehealth due to the COVID-19 pandemic presents a concern that telehealth may result in an unnecessary increase in utilization. We analyzed 4,114,651 primary care encounters (939,134 unique patients) from three healthcare systems between 2019 and 2021 and found little change in utilization as telehealth became widely available. Results suggest telehealth availability is not resulting in additional primary care visits and federal policies should support telehealth use.

4.
J Am Med Inform Assoc ; 27(9): 1456-1461, 2020 07 01.
Article in English | MEDLINE | ID: mdl-32618999

ABSTRACT

The COVID-19 pandemic has led to the rapid expansion of telehealth services as healthcare organizations aim to mitigate community transmission while providing safe patient care. As technology adoption rapidly increases, operational telehealth teams must maintain awareness of critical information, such as patient volumes and wait times, patient and provider experience, and telehealth platform performance. Using a model of situation awareness as a conceptual foundation and a user-centered design approach we describe our process for rapidly developing and disseminating dashboard visualizations to support telehealth operations. We used a 5-step process to gain domain knowledge, identify user needs, identify data sources, design and develop visualizations, and iteratively refine these visualizations. Through this process we identified 3 distinct stakeholder groups and designed and developed visualization dashboards to meet their needs. Feedback from users demonstrated the dashboard's support situation awareness and informed important operational decisions. Lessons learned are shared to provide other organizations with insights from our process.


Subject(s)
Coronavirus Infections , Data Display , Data Visualization , Pandemics , Pneumonia, Viral , Telemedicine , Betacoronavirus , COVID-19 , Humans , Mid-Atlantic Region , Multi-Institutional Systems , Organizational Case Studies , SARS-CoV-2 , User-Computer Interface
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