Predicting the impact of an electronic health record on practice patterns using computational modeling and simulation.

Thomas R. Clancy, Connie W Delaney, Alberto Segre, Kathleen Carley, Andrew Kuziak, Hwanjo Yu

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The overall purpose of this research study is to discover and apply new knowledge regarding methods to predict the impact of an electronic health record (EHR) on clinical practice guidelines in complex systems such as hospitals. Specifically, the aims of this study are: 1) to build, simulate and validate the accuracy of a computational model representing the current practice patterns in a sample of patients diagnosed with heart failure (HF) and treated in a community hospital; and 2) using computational modeling and simulation, develop a method to predict the effects of best practice guidelines on practice patterns after implementation of an EHR.

Original languageEnglish (US)
Pages (from-to)145-149
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - Dec 1 2007

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Electronic Health Records
Practice Guidelines
Community Hospital
Heart Failure
Research

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Predicting the impact of an electronic health record on practice patterns using computational modeling and simulation. / Clancy, Thomas R.; Delaney, Connie W; Segre, Alberto; Carley, Kathleen; Kuziak, Andrew; Yu, Hwanjo.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 01.12.2007, p. 145-149.

Research output: Contribution to journalArticle

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