Personalized Health Care Outcome Analysis of Cardiovascular Surgical Procedures

33 Pages Posted: 31 Dec 2016 Last revised: 30 Sep 2017

See all articles by Guihua Wang

Guihua Wang

University of Texas at Dallas - Naveen Jindal School of Management

Jun Li

University of Michigan, Stephen M. Ross School of Business

Wallace J. Hopp

University of Michigan, Stephen M. Ross School of Business

Date Written: September 29, 2017

Abstract

This study addresses the challenges of generating patient-centric outcome information. Using patient-level data from thirty-five hospitals for six cardiovascular surgeries in New York State, we identify patient groups that exhibit significant differences in outcomes with a recently developed instrumental variable tree approach. We find that outcome differences between hospitals are heterogenous not only across procedure types, but also along other dimensions such as patient age and comorbidities. For around 80% of patients, the best hospitals indicated by patient-centric information are different than those indicated as best by population-average information. We compare potential outcomes when patients are treated at the best hospitals based on the two types of information, and estimate that complications could be reduced by 66.7% by using patient-centric information instead of population-average information. We also use our model to illustrate how patient-centric outcome information can enhance pay-for-performance programs offered by payers and guide providers in targeting quality improvement efforts.

Keywords: Healthcare outcome analysis, patient-centric healthcare, provider quality, machine learning

Suggested Citation

Wang, Guihua and Li, Jun and Hopp, Wallace J., Personalized Health Care Outcome Analysis of Cardiovascular Surgical Procedures (September 29, 2017). Ross School of Business Paper No. 1336. Available at SSRN: https://ssrn.com/abstract=2891517 or http://dx.doi.org/10.2139/ssrn.2891517

Guihua Wang

University of Texas at Dallas - Naveen Jindal School of Management ( email )

P.O. Box 830688
Richardson, TX 75083-0688
United States

Jun Li (Contact Author)

University of Michigan, Stephen M. Ross School of Business ( email )

701 Tappan Street
Ann Arbor, MI MI 48109
United States

Wallace J. Hopp

University of Michigan, Stephen M. Ross School of Business ( email )

701 Tappan Street
Ann Arbor, MI MI 48109
United States

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