About

Jayson Marwaha is a general surgery resident with an interest in trauma surgery & surgical critical care.

He is also a postdoctoral fellow in biomedical informatics at Harvard Medical School (HMS) and Beth Israel Deaconess Medical Center (BIDMC) in Boston, MA, where he works in the Surgical Informatics Laboratory of Dr. Gabriel Brat, a trauma surgeon at BIDMC. His position is funded by the National Library of Medicine (NLM) Biomedical Informatics Research Training (BIRT) Fellowship.

Jayson's research interests lie in applying informatics and machine learning principles to surgery. His work so far has focused on using informatics to address post-surgical opioid prescribing; predicting surgical transitions for chronic medical diseases; inferring standards of care for uncertain medical decisions using crowdsourced risk intuition; and studying the role of clinical terminologies in public health and clinical research. He has published and presented on these topics at a national level. His current work focuses on improving the adoption of digital health tools in the field of surgery, as well as informatics policy and education.

Jayson is an editorial board member for the journals Nature - Digital Medicine and JAMIA (Journal of the American Medical Informatics Association), and a student editor of JACS (Journal of the American College of Surgeons). He has been recognized as an outstanding journal reviewer by Nature - Digital Medicine. He is also a co-host of Go Live, the official podcast of ACIF (AMIA Clinical Informatics Fellows), and a co-host of the 86k+ member MedTech Club. In 2021 he started the Health IT Literacy Project with HMS colleague Tiffany Tuedor, an initiative in collaboration with Harvard Health Publishing to translate complex health IT policies into content that patients can understand and use to improve their health.

Jayson’s current interests are as follows; please feel free to reach out any time to discuss these (or any other) topics:
1) Implementation science of digital health tools in large, complex health systems
2) Applications of informatics and machine learning tools in surgery
3) Remote monitoring, telemedicine, and hospital-at-home for surgery
4) Measurement and integration of surgeon intuition in clinical decision support systems and prediction tools
5) Impact of health IT policies, such as the ONC Final Rule, on surgical practice