Software may hold key to guiding providers toward better healthcare
The study is the first randomized evaluation of the impact of Clinical Decision Support
Faculty
Joseph Doyle is the Erwin H. Schell Professor of Management and Applied Economics at the MIT Sloan School of Management.
He studies public economics in the areas of healthcare and child welfare. His healthcare research investigates sources of value and waste to inform policies aimed at improving the quality and cost-effectiveness of the US healthcare system. This includes partnering with large healthcare providers and payers to conduct randomized controlled trials of changes in the ways healthcare is delivered with an emphasis on addressing social determinants of health. He conducts similar investigations into foster care and juvenile justice programs.
Doyle is codirector of the MIT Sloan Initiative for Health Systems Innovation and cochair of the Health Sector of the Jameel Poverty Action Lab.
He holds a BS from Cornell University and a PhD in economics from the University of Chicago.
Featured Publication
"Economics of Child Protection: Maltreatment, Foster Care & Intimate-Partner Violence."Doyle, Joseph J. and Anna Aizer. Annual Review of Economics Vol. 10, (2018): 87-108. Download paper.
Featured Publication
"Evaluating Measures of Hospital Quality: Evidence from Ambulance Referral Patterns."Doyle, Joseph J., John A. Graves, and Jonathan Gruber. Review of Economics and Statistics Vol. 101, No. 5 (2019): 841-852. Download Paper. Appendix. Press. Working Paper Version.
Bronsoler, Ari, Joseph J. Doyle, Cason Schmit, and John Van Reenen. NEJM Catalyst Innovations in Care Delivery Vol. 4, No. 1 (2023).
Cooper, Ryan, Joseph J. Doyle, and Andrés P. Hojman, MIT Sloan Working Paper 6825-22. Cambridge, MA: MIT Sloan School of Management, December 2022.
Doyle, Joseph J., and Becky Staiger, Working Paper. December 2022.
Bronsoler, Ari, Joseph J. Doyle, and John Van Reenen. Annual Review of Economics Vol. 14, (2022): 23-46. Download Paper.
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The study is the first randomized evaluation of the impact of Clinical Decision Support
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