title: Implementing electronic health care predictive analytics: considerations and challenges.
abstract: The use of predictive modeling for real-time clinical decision making is increasingly recognized as a way to achieve the Triple Aim of improving outcomes, enhancing patients' experiences, and reducing health care costs. The development and validation of predictive models for clinical practice is only the initial step in the journey toward mainstream implementation of real-time point-of-care predictions. Integrating electronic health care predictive analytics (e-HPA) into the clinical work flow, testing e-HPA in a patient population, and subsequently disseminating e-HPA across US health care systems on a broad scale require thoughtful planning. Input is needed from policy makers, health care executives, researchers, and practitioners as the field evolves. This article describes some of the considerations and challenges of implementing e-HPA, including the need to ensure patients' privacy, establish a health system monitoring team to oversee implementation, incorporate predictive analytics into medical education, and make sure that electronic systems do not replace or crowd out decision making by physicians and patients.
authors.affiliation: Ruben Amarasingham (ruben.amarasingham@phhs.org) is president and CEO of PCCI, a nonprofit research and development corporation and an associate professor in the Departments of Internal Medicine and Clinical Sciences at the University of Texas Southwestern Medical Center, both in Dallas.
authors.forename: Ruben
authors.initials: R
authors.lastname: Amarasingham
authors.affiliation: Rachel E. Patzer is an assistant professor in the Department of Surgery, School of Medicine, and the Department of Epidemiology, Rollins School of Public Health, both at Emory University, in Atlanta, Georgia.
authors.forename: Rachel E
authors.initials: RE
authors.lastname: Patzer
authors.affiliation: Marco Huesch is an assistant professor in the Leonard D. Schaeffer Center for Health Policy and Economics, Sol Price School of Public Policy, University of Southern California, in Los Angeles.
authors.forename: Marco
authors.initials: M
authors.lastname: Huesch
authors.affiliation: Nam Q. Nguyen is a business operations associate at PCCI.
authors.forename: Nam Q
authors.initials: NQ
authors.lastname: Nguyen
authors.affiliation: Bin Xie is a health services manager at PCCI.
authors.forename: Bin
authors.initials: B
authors.lastname: Xie
mesh_terms: D057186:Comparative Effectiveness Research; D003219:Confidentiality; D003627:Data Interpretation, Statistical; D066264:Datasets as Topic; D020000:Decision Support Systems, Clinical; D003695:Delivery of Health Care / Q000191:economics / Q000706:statistics & numerical data*; D057286:Electronic Health Records; D006801:Humans; D008490:Medical Informatics; D015233:Models, Statistical; D011786:Quality Control
keywords: Information Technology; Medicine/Clinical Issues; Public Health; Research And Technology