The Virtuous Circles of Clinical Information Systems: a Modern Utopia

Abstract

SummaryContext: Clinical information systems (CIS) are developed with the aim of improving both the efficiency and the quality of care. Objective: This position paper is based on the hypothesis that such vision is partly a utopian view of the emerging eSociety. Methods: Examples are drawn from 15 years of experience with the fully integrated Georges Pompidou University Hospital (HEGP) CIS and temporal data series extracted from the data warehouses of Assistance Publique -Hôpitaux de Paris (AP-HP) acute care hospitals which share the same administrative organization as HEGP. Three main virtuous circles are considered: user satisfaction vs. system use, system use vs. cost efficiency, and system use vs quality of care. Results: In structural equation models (SEM), the positive bidirectional relationship between user satisfaction and use was only observed in the early HEGP CIS deployment phase (first four years) but disappeared in late post-adoption (≥8 years). From 2009 to 2013, financial efficiency of 20 AP-HP hospitals evaluated with stochastic frontier analysis (SFA) models diminished by 0.5% per year. The lower decrease of efficiency observed between the three hospitals equipped with a more mature CIS and the 17 other hospitals was of the same order of magnitude than the difference observed between pediatric and non-pediatric hospitals. Outcome quality benefits that would bring evidence to the system use vs. quality loop are unlikely to be obtained in a near future since they require integration with population-based outcome measures including mortality, morbidity, and quality of life that may not be easily available. Conclusion: Barriers to making the transformation of the utopian part of the CIS virtuous circles happen should be overcome to actually benefit the emerging eSociety. KeywordsEvaluation of clinical information systems; return on investment; outcome research; acceptance models; information system success criteria Yearb Med Inform 2016:256-63 http://dx

Electronic health records for the diagnosis of rare diseases

“…Other obstacles are related to the quality of routine care data. While some clinicians complain about spending too much time entering data in legacy systems 116 , they believe that EHR is essential for the quality of care, 117 and for personalized medicine 118 . Data quality can be assessed against a number of dimensions: completeness, validity, coherence and comparability, accessibility, usefulness, timeliness, prevention of duplicate records 119 .…”