Linking Electronic Medical Records Use to Physicians’ Performance: A Contextual Analysis

Linking Electronic Medical Records Use to Physicians’ Performance: A Contextual Analysis

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Article ID: iaor2017751
Volume: 48
Issue: 1
Start Page Number: 7
End Page Number: 38
Publication Date: Feb 2017
Journal: Decision Sciences
Authors: ,
Keywords: decision, simulation, statistics: empirical, personnel & manpower planning, medicine, computers: information, social, performance
Abstract:

Electronic Medical Records (EMR) studies have broadly tested EMR use and outcomes, producing mixed and inconclusive results. This study carefully considers the healthcare delivery context and examines relevant mediating variables. We consider key characteristics of: (i) interdependence in healthcare delivery processes, (ii) physician autonomy, and (iii) the trend of hospital employment of physicians, and draw on theoretical perspectives in coordination, shared values, and agency to explain how the use of EMR can improve physicians’ performance. In order to examine the effects of physician employment on work practices in the hospital, we collected 583 data points from 302 hospitals in 47 states in the USA to test two models: one for employed and another for nonemployed physicians. Results show that information sharing and shared values among healthcare delivery professionals fully mediate the relationship between EMR use and physicians’ performance. Next, physician employment determines which mediating variable constitutes the pathway from EMR use to physicians’ performance. Finally, we highlight the impact of shared values between the hospital and physicians in enhancing information sharing and physicians’ performance, extending studies of these behaviors among network partners in industrial settings. Overall, our study shows that EMR use should be complemented by processual (information sharing), social (shared values), and structural (physician employment) mechanisms to yield positive effects on physicians’ performance.

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