Simon Business School

Faculty Profile

Roy Jones
Clinical Assistant Professor of Medicine, Cardiology
Clinical Assistant Professor of Computers and Information Systems
Phone: 585.275.3398
Office: 3-316 Carol Simon Hall


Before pursuing his PhD, Jones was a lecturer for the Stanford University computer science department. In addition, he founded a relational database consulting firm. In this capacity, he worked with Fortune 500 firms and start-ups.

Teaching Interests

Computers and Information Systems

Research Interests

Professor Jones’s current research studies markets for information goods and the im­pact of development costs and the complexity of the development process on market structure. He is broadly interested in the information industries, in particular the economics of information systems, electronic business, health information technology, and the evolution of the information technology industry.

Professional History

Assistant Professor of Computers and Information Systems
University of Rochester Simon School of Business, Rochester NY
1998 - 2006
4th Connection Consulting, Inc.
1988 - 1998
Research Assistant
Stanford University, Stanford CA
1993 - 1994
Acting Assistant Chair for Education
Stanford University, Stanford CA
1988 - 1990
Stanford University, Stanford CA
1986 - 1990
Software Development Consultant
Warthman Associates, Palo Alto CA
1982 - 1988
Prime Computer
1986 - 1986
Computer Systems Consultant
Lahey Clinic Medical Center, Burlington MA
1985 - 1985


Stanford University - 2002
Ph D
Operations Information and Technology
Stanford University - 1986
Computer Science
Stanford University - 1985


Prior Hospital Admission Predicts Thirty-Day Hospital Readmission
Contribution Type: Journal Article, Academic Journal
Journal/Publisher/Proceedings Publisher: Cardiology Journal
Volume: 23
Issue: 2
Information Goods vs. Industrial Goods: Cost Structure and Competition
Contribution Type: Journal Article, Academic Journal
Journal/Publisher/Proceedings Publisher: Management Science
Volume: 57
Issue: 1
Pay for Performance: 10 Things You Should Know
Contribution Type: Magazine/Trade Publication
Journal/Publisher/Proceedings Publisher: Critical Connections

Current Research Programs

Heart Failure Risk Calculator
Multi-center study to develop a risk calculator to predict which patients are at a high risk of readmission.
Predicting Heart Failure Readmissions
Analyzing clinical data to predict which heart failure patients are most likely to be readmitted so those patients can be targeted with interventions to reduce 30-day readmissions.
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