Henry Dove, PhD, MBA

Henry G. Dove, Ph.D. received an MBA from the University of California at Berkeley and his doctorate in operations research/health services research from the Yale University School of Management.

He is the former director of Yale University-West Haven Veterans Health Services Research program; his research focused on innovative methods for quality assurance.

He was a founding officer of Iris Corporation, a startup company that developed software products for

• Assisting hospitals in conducting utilization review, discharge planning, concurrent DRG assignment, infection control, and operating room analyses
• Profiling physicians’ treatment patterns for utilization review and quality improvement.

He is currently president of Case-mix Analytics, LLC which conducts specialized analyses based on provider payment systems used by Medicare, Medicaid and private insurers. Its engagements usually involve huge datasets, various patient classification/severity adjustment systems {DRGs, RBRVS, APR-DRGs}, applied statistical methods and financial modeling to analyze utilization patterns, costs and health care quality. Its clients are hedge funds, private equity firms and health care providers. Other projects have employed cost-effectiveness, Markov and discrete event simulation models.

Dr. Dove has taught quantitative courses in health care finance and management science for more than 25 years at the Yale School of Public Health’s Department of Health Policy & Management, where he has won three teaching awards.

Some of his other honors include author of “Best Article of The Year” — awarded by Disease Management Association of America (2003, with I. Duncan); “Distinguished Teacher of the Year,” Yale School of Public Health (1994); Finalist, American College of Medical Practice Executives & Medical Group Management Association (2006); Health Insurance Association of America Faculty Fellow (1992); “Gerson-Lehrman Scholar”; and Guidepoint Global Health Care Finance Expert.

Current Interests

• Patient Classification Systems for Reimbursement and Outcomes Assessment.
• Risk Adjustment Systems for Paying and Evaluating Health Plans and Providers
• Forecasting the Impact of Medicare Payment System Changes on Health Care Providers’ Profitability
• Disease Modeling (Markov models and cost-effectiveness analyses for clinical decision-making and evaluating medical devices and pharmaceutical agents)
• Evaluating Disease Management and Wellness Programs.