Congratulations to Nicholas Douville, M.D., Ph.D., who received a FAER MRTG totaling $250,000 for his proposed work, “Integrating Genetics and Electronic Health Records to Predict Myocardial Injury after Noncardiac Surgery”.
Under the auspices of this grant, Dr. Douville will integrate genetic variants from the Michigan Genomics Initiative with clinical informatics to identify patients with increased risk for adverse outcomes after surgery.
This investigation will apply data science techniques to derive social history, lifestyle factors, past medical history, laboratory values, procedural details, and medications which all can profoundly alter disease presentation from the electronic health record (EHR). Advances in perioperative genomics may enable unique gene-environment interactions secondary to the physiologic stress of a surgical procedure to be identified and further integrated into a prediction model.
Through these analyses, Dr. Douville seeks to assist perioperative providers in improving patient outcomes through a unified platform that identifies patient attributes that may affect their care and stratifies the risk of key perioperative complications. The proposed investigation is the first of its kind to integrate EHR data with genotype to predict a perioperative outcome.
Using the FAER funded awarded, Dr. Douville will gain expertise in genomics and data science, under outstanding mentorship from a broad multidisciplinary team:
- Anesthesiology – Drs. Sachin Kheterpal, Dan Clauw, Chad Brummett
- Human Genetics/Computational Medicine and Bioinformatics – Dr. Cristen Willer
- Data Science – Drs. Milo Engoren, Michael Mathis, and Graciela Mentz.
The project is broadly supported outside of the UM anesthesiology department, as endorsed by:
Further details of the proposed work can be found on the FAER website.