Critical Healthcare (SCCM Project)
Project in collaboration with clinicians to address real-world problems in healthcare using existing databases.
This project was part of a datathon with Society of Critical Care Medicine (SCCM), which involved coloration with clinicians and pharmacists to develop a data-driven model for care of critically ill patients using large health record databases.
Problem Description:
Are there differences in sedative agent selection in adult patients on invasive mechanical ventilation based on race or ethnicity.
Databases:
We used two critical care databases: MIMIC-IV (Medical Information Mart for Intensive Care) database and the eICU collborative research database.
BigQuery and Colab:
We used BigQuery to easily explore the large datasets using SQL.
See example code on my github repository.
Tags: Python, BigQuery, SQL, Healthcare