Practice-focused health economics
There is joy in working on research projects that are born out of the need to make healthcare delivery efficient and cost-effective. In this talk, I will describe two such projects that we have recently completed at Mayo Clinic.
The first project focused on developing and integrating a machine learning (ML) model into a hospital early warning system to predict adverse events (AEs). The ML model, integrated with the Epic’s deterioration index (DI), outperformed existing threshold-based models in predicting AEs among hospitalized patients. It achieved higher accuracy (AUC) ranging from 0.76 to 0.945, with accurate predictions up to 12 hours before an AE. Multisite cross-validation confirmed its generalizability.
The second project evaluated the impact of ex vivo lung perfusion (EVLP) on lung transplantation outcomes. Using a simulation model based on UNOS data and additional parameters from Mayo Clinic Transplant Center, the study analyzed different EVLP growth rates. Increasing EVLP showed positive effects, including reduced waitlist mortality, decreased time on the waitlist, increased transplant rates, and improved post-transplant survival. The incremental cost per additional life year gained ranged from $35,000 to $45,000.
Speaker Profile
Professor Bijan J. Borah, Mayo Clinic College of Medicine & Science
Bijan J. Borah is a Professor of Health Services Research at Mayo Clinic College of Medicine and Science, and the Robert D. and Patricia E. Kern Endowed Scientific Director for the Clinical and Economic Evaluation Program (CEEP), Mayo Clinic. He also serves as the Head of Advanced Analytics in the Division of Health Care Delivery Research and holds a joint appointment in Obstetrics and Gynaecology. Dr. Borah’s research interests are in broad areas of comparative effectiveness research, and has extensive experience in designing, implementing, and evaluating healthcare interventions using statistical, econometric, and data science techniques. He holds a PhD in Economics from Indiana University Bloomington, USA, and completed his bachelors and masters in Statistics from Delhi University, India.
Weekly seminar series
As part of our centre's vibrant research culture, we host a weekly seminar series. Visiting and invited researchers present current research relating to the economics of health and wellbeing, and the healthcare sector. Visitors are welcome to join these sessions where discussion and debate is encouraged.
For further information on our seminar series, please contact shannon.stanwell@monash.edu
Event Details
- Date:
- 14 August 2023 at 12:00 pm – 1:00 pm
- Venue:
- In-person at Caulfield campus, Building H, Level 9, Room H9.21
- Categories:
- CHE Seminar; Health Economics
Description
There is joy in working on research projects that are born out of the need to make healthcare delivery efficient and cost-effective. In this talk, I will describe two such projects that we have recently completed at Mayo Clinic.
The first project focused on developing and integrating a machine learning (ML) model into a hospital early warning system to predict adverse events (AEs). The ML model, integrated with the Epic’s deterioration index (DI), outperformed existing threshold-based models in predicting AEs among hospitalized patients. It achieved higher accuracy (AUC) ranging from 0.76 to 0.945, with accurate predictions up to 12 hours before an AE. Multisite cross-validation confirmed its generalizability.
The second project evaluated the impact of ex vivo lung perfusion (EVLP) on lung transplantation outcomes. Using a simulation model based on UNOS data and additional parameters from Mayo Clinic Transplant Center, the study analyzed different EVLP growth rates. Increasing EVLP showed positive effects, including reduced waitlist mortality, decreased time on the waitlist, increased transplant rates, and improved post-transplant survival. The incremental cost per additional life year gained ranged from $35,000 to $45,000.
Speaker Profile
Professor Bijan J. Borah, Mayo Clinic College of Medicine & Science
Bijan J. Borah is a Professor of Health Services Research at Mayo Clinic College of Medicine and Science, and the Robert D. and Patricia E. Kern Endowed Scientific Director for the Clinical and Economic Evaluation Program (CEEP), Mayo Clinic. He also serves as the Head of Advanced Analytics in the Division of Health Care Delivery Research and holds a joint appointment in Obstetrics and Gynaecology. Dr. Borah’s research interests are in broad areas of comparative effectiveness research, and has extensive experience in designing, implementing, and evaluating healthcare interventions using statistical, econometric, and data science techniques. He holds a PhD in Economics from Indiana University Bloomington, USA, and completed his bachelors and masters in Statistics from Delhi University, India.
Weekly seminar series
As part of our centre's vibrant research culture, we host a weekly seminar series. Visiting and invited researchers present current research relating to the economics of health and wellbeing, and the healthcare sector. Visitors are welcome to join these sessions where discussion and debate is encouraged.
For further information on our seminar series, please contact shannon.stanwell@monash.edu