Computerized Physician Order Entry with Clinical Decision Support in the Long-Term Care Setting: Insights from the Baycrest Centre for Geriatric Care

2005 ◽  
Vol 53 (10) ◽  
pp. 1780-1789 ◽  
Author(s):  
Paula A. Rochon ◽  
Terry S. Field ◽  
David W. Bates ◽  
Monica Lee ◽  
Linda Gavendo ◽  
...  
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Care Setting ◽  
Long Term Care ◽  
Clinical Decision ◽  
Computerized Physician Order Entry ◽  
Order Entry ◽  
Term Care ◽  
Physician Order Entry

EFFECT OF CLINICAL DECISION SUPPORT ON PSYCHOTROPIC MEDICATION PRESCRIBING IN THE LONG-TERM CARE SETTING

2010 ◽  
Vol 58 (5) ◽  
pp. 1005-1007 ◽  
Author(s):  
Jennifer L. Donovan ◽  
Abir O. Kanaan ◽  
Mary S. Thomson ◽  
Paula Rochon ◽  
Monica Lee ◽  
...  
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Psychotropic Medication ◽  
Care Setting ◽  
Long Term Care ◽  
Clinical Decision ◽  
Term Care ◽  
Medication Prescribing

scholarly journals A systematic analysis of the optimization of computerized physician order entry and clinical decision support systems: A qualitative study in English hospitals

2019 ◽  
Vol 26 (2) ◽  
pp. 1118-1132 ◽  
Author(s):  
Valeri Wiegel ◽  
Abby King ◽  
Hajar Mozaffar ◽  
Kathrin Cresswell ◽  
Robin Williams ◽  
...  
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Clinical Decision Support Systems ◽  
Extended Period ◽  
Clinical Decision ◽  
System Optimization ◽  
Computerized Physician Order Entry ◽  
Order Entry ◽  
Systematic Analysis ◽  
Physician Order Entry

This article analyzes the range of system optimization activities taking place over an extended period following the implementation of computerized physician order entry and clinical decision support systems. We undertook 207 qualitative semi-structured interviews, 24 rounds of non-participant observations of meetings and system use, and collected 17 organizational documents in five hospitals over three time periods between 2011 and 2016. We developed a systematic analysis of system optimization activities with eight sub-categories grouped into three main categories. This delineates the range of system optimization activities including resolving misalignments between technology and clinical practices, enhancing the adopted system, and improving user capabilities to utilize/further optimize systems. This study highlights the optimization efforts by user organizations adopting multi-user, organization-spanning information technologies. Hospitals must continue to attend to change management for an extended period (up to 5 years post-implementation) and develop a strategy for long-term system optimization including sustained user engagement, training, and broader capability development to ensure smoother and quicker realization of benefits.

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