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- Information Professionals
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Journal Article > Review
Gummadi S, Housri N, Zimmers TA, Koniaris LG. Am J Med Sci. 2014;348:238-243.
Electronic health records (EHRs) and health information technologies (IT) have been widely implemented to enhance safe care delivery, despite weaknesses linked to systems and user experience. This review explores the evidence on health IT implementation and design challenges that have hindered progress, recommends ways to address these issues, and highlights the potential benefits if EHRs are fully utilized.
Journal Article > Review
Lynn LA. Patient Saf Surg. 2019;13:6.
Artificial intelligence (AI) technologies can improve the use of data in care delivery. This review recommends steps to enhance the use of AI in bedside care. The author highlights the need for clinicians to accept that AI tools will affect care processes and be trained to participate in AI integration on the front line.
Gawande A. New Yorker. November 12, 2018.
In this magazine article, Atul Gawande describes a range of frustrations physicians experience as digitization becomes more widespread in health care. He elaborates upon several elements of electronic health record use that can degrade care processes and create conditions for errors, such as burnout, lack of patient-centeredness, and alert fatigue.
Schulte F, Fry E. Kaiser Health News, Fortune Magazine. March 18, 2019.
Despite years of investment and government support, electronic health records (EHR) continue to face challenges as a patient safety strategy. This news article outlines the unintended consequences of EHR implementation, including patient harm linked to software glitches and user errors, fraudulent behavior (upcoding), interoperability problems, clinician burnout due to poorly designed digital health records, and lack of industry transparency.
Journal Article > Study
Kroth PJ, Morioka-Douglas N, Veres S, et al. JAMA Netw Open. 2019;2:e199609.
This survey of 282 primary care physicians and ambulatory specialists found that several electronic health record design features contributed to clinician burnout, including excessive data entry requirements and long copied-and-pasted notes. However, other work environment factors (such as clinician workload) were more strongly predictive of work stress and burnout.