Does Encounter History Influence Future Hospital Readmissions?

Enjoy lunch and a presentation by Dr. Sinha on Thursday, April 18 in the second W. Max Finley Chair Seminar Series of the spring semester. This seminar and lunch are provided free of charge. Space is limited, so please RSVP below.

About the Event:

Hospital readmission refers to a patient being admitted to a hospital within a certain period of time after being discharged from a hospital stay. If a high proportion of patients are readmitted to a hospital within a short time after their previous stay, it may indicate inadequate quality of care or post-discharge care. One of the missing links in the extant research on readmissions is the patient's hospital encounter history. While identifying the factors that influence readmission, prior studies have considered the details of the patient's most recent encounter with the hospital - the one just before that particular readmission. The findings of the study conducted by Dr. Sinha show that past history - especially as it relates to inter-visit times - has a major influence on future readmission risk. The findings of the study have important implications for hospitals as they strive to fine tune their strategies for reducing Hospital Readmissions Reduction Program penalties.

About the Speaker:

Dr. Atish Sinha is a Professor of Information Technology and the Director of the Center for Technology Innovation at the Lubar School of Business, University of Wisconsin-Milwaukee. He received his Ph.D. in Business, with a concentration in Artificial Intelligence, from the University of Pittsburgh. His current research interests are in big data, business analytics, healthcare informatics, and industrial IoT. He is a core member of the Connected Systems Institute, which is a new, multi-disciplinary institute where faculty and industry partners conduct advanced research in industrial IoT.