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
Health information technology is a major source of clinician burnout due to increased administrative burden and inefficient work processes. Electronic consultations (eConsults) represent a promising innovation to improve access to specialty care by reducing wait times for specialist visits and reducing unnecessary in-person specialist visits. While eConsults have clear benefits for patients and healthcare systems, their potential effects on provider burnout should be considered. Using a framework which outlines that [...]
Author(s): Lee, Michelle S, Nambudiri, Vinod E
DOI: 10.1093/jamia/ocaa300
Electronic health record systems are increasingly used to send messages to physicians, but research on physicians' inbox use patterns is limited. This study's aims were to (1) quantify the time primary care physicians (PCPs) spend managing inboxes; (2) describe daily patterns of inbox use; (3) investigate which types of messages consume the most time; and (4) identify factors associated with inbox work duration.
Author(s): Akbar, Fatema, Mark, Gloria, Warton, E Margaret, Reed, Mary E, Prausnitz, Stephanie, East, Jeffrey A, Moeller, Mark F, Lieu, Tracy A
DOI: 10.1093/jamia/ocaa229
In 2017, 43.9% of US physicians reported symptoms of burnout. Poor electronic health record (EHR) usability and time-consuming data entry contribute to burnout. However, less is known about how modifiable dimensions of EHR use relate to burnout and how these associations vary by medical specialty. Using the KLAS Arch Collaborative's large-scale nationwide physician (MD/DO) data, we used ordinal logistic regression to analyze associations between self-reported burnout and after-hours charting and [...]
Author(s): Eschenroeder, H C, Manzione, Lauren C, Adler-Milstein, Julia, Bice, Connor, Cash, Robert, Duda, Cole, Joseph, Craig, Lee, John S, Maneker, Amy, Poterack, Karl A, Rahman, Sarah B, Jeppson, Jacob, Longhurst, Christopher
DOI: 10.1093/jamia/ocab053