title: Predicting the impact of an electronic health record on practice patterns using computational modeling and simulation.
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.
authors.forename: Thomas R
authors.initials: TR
authors.lastname: Clancy
authors.forename: Connie White
authors.initials: CW
authors.lastname: Delaney
authors.forename: Alberto
authors.initials: A
authors.lastname: Segre
authors.forename: Kathleen
authors.initials: K
authors.lastname: Carley
authors.forename: Andrew
authors.initials: A
authors.lastname: Kuziak
authors.forename: Hwanjo
authors.initials: H
authors.lastname: Yu
mesh_terms: D019411:Clinical Laboratory Techniques / Q000706:statistics & numerical data; D003198:Computer Simulation; D017046:Cost Savings; D004562:Electrocardiography / Q000706:statistics & numerical data; D019983:Guideline Adherence / Q000191:economics; D006333:Heart Failure / Q000175:diagnosis / Q000628:therapy*; D006764:Hospitals, Community / Q000191:economics; D006801:Humans; D016347:Medical Records Systems, Computerized; D008505:Medical Staff, Hospital / Q000191:economics / Q000706:statistics & numerical data; D009741:Nursing Staff, Hospital / Q000191:economics / Q000706:statistics & numerical data; D019982:Organizational Case Studies; D009936:Organizational Innovation; D017410:Practice Guidelines as Topic; D010818:Practice Patterns, Physicians' / Q000191:economics / Q000592:standards / Q000706:statistics & numerical data; D000078329:Workforce; D016526:Workload / Q000706:statistics & numerical data