MIT EECS — Actifio Undergraduate Research and Innovation Scholar
Critical Care Informatics
The ICU has the highest mortality of any unit in hospitals. The Multiparameter Intelligent Monitoring in Intensive Care database, MIMIC, serves as a resource for finding epidemiologic solutions in critical care medicine, decision making, and monitoring algorithms. By understanding what factors affect patient outcomes, researchers can discover areas of medical care to improve to increase patient survival. MIMIC contains patient stay information from the Beth Israel Deaconess Medical Center but I plan to expand the database, which will bring more analytical power. While merging datasets, I will have to account for gaps in the database due to flawed data and different hospital information formatting all while finding the best way to capture and communicate implicit information to researchers.
The fusion between having seen just how prevalent incurable illnesses are and my passion for working on ideas that will improve and transform lives drove me to work on MIMIC II. I hope to learn how to study and manipulate data through the eyes of a clinical technician and with the mind of an engineer. While learning much, I can apply lessons learned from past application backend construction and physician shadowing.