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Sokol Tushe1, Hao Ding1, Diwas KC1, Suephy C. Chen2,3, Howa Yeung4,5
1Goizueta Business School, Emory University, Atlanta, Georgia 30322; 2Department of Dermatology, Duke University School of Medicine, Durham, North Carolina; 3Durham Veterans Affairs Medical Center, Durham, North Carolina; 4Department of Dermatology, Emory University School of Medicine, Atlanta, Georgia; 5Regional Telehealth Service, Veterans Integrated Service Network VISN 7, Atlanta, Georgia
This paper studies a multi-channel healthcare system with both a telemedicine and an in-person channel. Using a DID identification strategy, we find that introducing multiple channels has significant impact on the in-person channel and system level, including an increase in case complexity and planned consultation time by 20% for in-person consultations. In addition, we observe an increase in system capacity, a reduction in wait time for in-person appointments by 37.5%.
The role of physician integration in alternative payment models: the case of the comprehensive joint replacement program
Kraig Edward Delana1, Christopher Chen2
1University of Oregon, United States of America; 2Indiana University, United States of America
In this paper, we provide an empirical investigation into the role of horizontal and vertical integration of orthopaedic surgeons in driving heterogeneity in the impact of the Comprehensive Joint Replacement (CJR) program. Using a difference-in-differences approach, we find hospitals with high horizontal and vertical integration see an increase in both hospital costs and complication rates of 3.17% 1.17, respectively, while others see either a decrease or no change in these measures.
Managing collaborative care for diabetes and depression
Sandeep Rath1, Jayashankar Swaminathan1, Charles Coleman2
1UNC Kenan Flagler Business School, United States of America; 2School of Medicine The University of North Carolina at Chapel Hill
Comorbid depression could lead to a 100% increase in the cost of care for diabetes. Clinical trials have demonstrated that depression care through care managers in a primary care setting (called Collaborative Care) leads to faster depression remission. We present a mathematical modeling approach that determines the optimal allocation of care managers' time to enrolled patients towards improving clinic revenue and patient health outcomes.
