Variation in Physicians' Electronic Health Record Documentation and Potential Patient Harm from That Variation

被引:59
作者
Cohen, Genna R. [1 ]
Friedman, Charles P. [2 ]
Ryan, Andrew M. [3 ]
Richardson, Caroline R. [4 ]
Adler-Milstein, Julia [5 ]
机构
[1] Mathematica, Washington, DC 20002 USA
[2] Univ Michigan, Med Sch, Dept Learning Hlth Sci, Ann Arbor, MI USA
[3] Univ Michigan, Sch Publ Hlth, Dept Hlth Management & Policy, Ann Arbor, MI 48109 USA
[4] Univ Michigan Hlth Syst, Dept Family Med, Ann Arbor, MI USA
[5] Univ Calif San Francisco, Dept Med, Ctr Clin Informat & Improvement Res, San Francisco, CA 94143 USA
基金
美国医疗保健研究与质量局;
关键词
EHR; documentation; mixed methods; primary care; CARE; QUALITY; TECHNOLOGY;
D O I
10.1007/s11606-019-05025-3
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
BackgroundPhysician-to-physician variation in electronic health record (EHR) documentation not driven by patients' clinical status could be harmful.ObjectiveMeasure variation in completion of common clinical documentation domains. Identify perceived causes and effects of variation and strategies to mitigate negative effects.DesignSequential, explanatory, mixed methods using log data from a commercial EHR vendor and semi-structured interviews with outpatient primary care practices.ParticipantsQuantitative: 170,332 encounters led by 809 physicians in 237 practices. Qualitative: 40 interviewees in 10 practices.Main MeasuresInterquartile range (IQR) of the proportion of encounters in which a physician completed documentation, for each documentation category. Multilevel linear regression measured the proportion of variation at the physician level.Key ResultsFive clinical documentation categories had substantial and statistically significant (p<0.001) variation at the physician level after accounting for state, organization, and practice levels: (1) discussing results (IQR=50.8%, proportion of variation explained by physician level=78.1%); (2) assessment and diagnosis (IQR=60.4%, physician-level variation=76.0%); (3) problem list (IQR=73.1%, physician-level variation=70.1%); (4) review of systems (IQR=62.3%, physician-level variation=67.7%); and (5) social history (IQR=53.3%, physician-level variation=62.2%). Drivers of variation from interviews included user preferences and EHR designs with multiple places to record similar information. Variation was perceived to create documentation inefficiencies and risk patient harm due to missed or misinterpreted information. Mitigation strategies included targeted user training during EHR implementation and practice meetings focused on documentation standardization.ConclusionsPhysician-to-physician variation in EHR documentation impedes effective and safe use of EHRs, but there are potential strategies to mitigate negative consequences.
引用
收藏
页码:2355 / 2367
页数:13
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