Congratulations to Michael Mathis, M.D., who received an NIH K01 Career Development award from NHLBI totaling $862,000 for his proposed work, “Early Diagnosis of Heart Failure: A Perioperative Data-Driven Approach”.
In this project, Dr. Mathis proposes to leverage perioperative data – including continuous vital signs monitoring captured in the intraoperative anesthesia record – for early detection of patients with undiagnosed heart failure. By using complex data science techniques such as artificial intelligence (AI), Dr. Mathis will analyze a patient’s physiologic responses to intraoperative stressors – including induction of general anesthesia, or a surgical incision – as a novel source of information to understand cardiovascular health.
Through these analyses, Dr. Mathis seeks to diagnose cardiovascular diseases such as heart failure, much in the same way a cardiologist would analyze physiologic responses of patients undergoing a treadmill stress test.
Using the NIH funding awarded, Dr. Mathis will gain expertise in data science methodologies, under outstanding mentorship from a broad multidisciplinary team:
- Anesthesiology – Drs. Sachin Kheterpal, Milo Engoren, Dan Clauw
- Cardiology – Drs. Brahmajee Nallamothu, Keith Aaronson
- Data Science – Drs. Kayvan Najarian, David Hanauer, Amy Shanks
The project is broadly supported outside of the UM anesthesiology department, as endorsed by:
- Michigan Integrated Center for Health Analytics & Medical Prediction (MiCHAMP)
- UM Institute for Healthcare Policy & Innovation (IHPI)
Further details of the proposed work can be found on the NIH Website.