
Alyssa Chen
MIT EECS | Hudson River Trading Undergraduate Research and Innovation Scholar
Real-Time Planning Support for ICU Work Rounds
2018–2019
EECS
- AI and Machine Learning
Roger Mark
Intensive care units (ICUs) provide lifesaving treatment for critically ill patients. Within the ICU, health care providers routinely meet for a scheduled discussion where the clinical data for a patient are reviewed and a care plan is developed. These discussions, or rounds, allow individual providers to contribute to the overall care plan based upon their specific expertise and familiarity with the patient. I plan to explore various predictive algorithms that can provide data-driven perspectives of patients to ultimately facilitate communication about patient status during rounds, inform the development of care plans, and improve patient outcomes.
I am participating in SuperUROP to gain more experience in biomedical informatics research. Last year, I took 6.872 (Biomedical Computing) and really enjoyed the final project, during which I had the opportunity to be mentored by Alistair Johnson, a postdoc in Professor Mark’s lab. Through SuperUROP, I look forward to working with Alistair in Professor Mark’s lab again, gaining insight from ICU patient data and improving my research skills.