Health information technology and clinician burnout: Current understanding, emerging solutions, and future directions.
Author(s): Poon, Eric G, Trent Rosenbloom, S, Zheng, Kai
DOI: 10.1093/jamia/ocab058
Author(s): Poon, Eric G, Trent Rosenbloom, S, Zheng, Kai
DOI: 10.1093/jamia/ocab058
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 [...]
Author(s): Ye, Jiancheng
DOI: 10.1093/jamia/ocab017
Few studies examine physicians' use of different features of health information technology (HIT) in relation to their psychological empowerment and stress, especially in China, where many hospitals are being pushed to share digitized medical information. Further, there are mixed findings about the impact of HIT on stress, with some studies suggesting that HIT increases stress and others suggesting no effect. Hence, there is a need for a nuanced view of [...]
Author(s): Chen, Yang, Aljafari, Ruba, Xiao, Bo, Venkatesh, Viswanath
DOI: 10.1093/jamia/ocab034
Stress and burnout due to electronic health record (EHR) technology has become a focus for burnout intervention. The aim of this study is to systematically review the relationship between EHR use and provider burnout.
Author(s): Yan, Qi, Jiang, Zheng, Harbin, Zachary, Tolbert, Preston H, Davies, Mark G
DOI: 10.1093/jamia/ocab009
Clinicians often attribute much of their burnout experience to use of the electronic health record, the adoption of which was greatly accelerated by the Health Information Technology for Economic and Clinical Health Act of 2009. That same year, AMIA's Policy Meeting focused on possible unintended consequences associated with rapid implementation of electronic health records, generating 17 potential consequences and 15 recommendations to address them. At the 2020 annual meeting of [...]
Author(s): Starren, Justin B, Tierney, William M, Williams, Marc S, Tang, Paul, Weir, Charlene, Koppel, Ross, Payne, Philip, Hripcsak, George, Detmer, Don E
DOI: 10.1093/jamia/ocaa320
To understand how medical scribes' work may contribute to alleviating clinician burnout attributable directly or indirectly to the use of health IT.
Author(s): Tran, Brian D, Rosenbaum, Kathryn, Zheng, Kai
DOI: 10.1093/jamia/ocaa345
Adoption and use of health information technology (IT) was identified as 1 solution to quality and safety issues that permeate the United States health care system. Implementation of health IT has accelerated across the US over the past decade, in part, as a result of legislative and regulatory requirements and incentives. However, adoption of these systems has burdened clinician users due to design, configuration, and implementation issues, resulting in poor [...]
Author(s): Gettinger, Andrew, Zayas-Cabán, Teresa
DOI: 10.1093/jamia/ocaa330
The electronic health record (EHR) data deluge makes data retrieval more difficult, escalating cognitive load and exacerbating clinician burnout. New auto-summarization techniques are needed. The study goal was to determine if problem-oriented view (POV) auto-summaries improve data retrieval workflows. We hypothesized that POV users would perform tasks faster, make fewer errors, be more satisfied with EHR use, and experience less cognitive load as compared with users of the standard view [...]
Author(s): Semanik, Michael G, Kleinschmidt, Peter C, Wright, Adam, Willett, Duwayne L, Dean, Shannon M, Saleh, Sameh N, Co, Zoe, Sampene, Emmanuel, Buchanan, Joel R
DOI: 10.1093/jamia/ocaa332
To identify specific thresholds of daily electronic health record (EHR) time after work and daily clerical time burden associated with burnout in clinical faculty.
Author(s): Peccoralo, Lauren A, Kaplan, Carly A, Pietrzak, Robert H, Charney, Dennis S, Ripp, Jonathan A
DOI: 10.1093/jamia/ocaa349
To develop a predictive analytics tool that would help evaluate different scenarios and multiple variables for clearance of surgical patient backlog during the COVID-19 pandemic.
Author(s): Joshi, Divya, Jalali, Ali, Whipple, Todd, Rehman, Mohamed, Ahumada, Luis M
DOI: 10.1093/jamiaopen/ooab016