Recap of 2023 MD+ Datathon
Our successful inaugural datathon last year culminated in publications and students from multi-disciplinary backgrounds teaming up to identify problems and solutions within in-patient care using the real-world National Inpatient Sample dataset! We initially conceptualized the MD+ Datathon as an opportunity for medical students to learn quantitative skills, think critically about how to translate data insights into business or policy actions and connect with other data-driven people. At MD+, we also know that aspiring physician-innovators who want to work on impactful ideas gravitate toward us. So, we agreed that creating an event around optimizing value-based care was timely and increasingly important. We are so pleased to organize a sequel datathon focused on value-based care; it was just as fun, illuminating, and rewarding as the first one!
We kicked off this year’s datathon on October 25th with virtual attendance from 200+ medical students, residents, and graduate students from various medical and graduate schools across the United States. For a month, each team worked together using the MIMIC-IV dataset to identify high-impact problems related to value-based care data-driven solutions. Out of the 28 teams, seven finalists were selected to present at our live pitch event in front of five accomplished judges in the healthcare innovation space: Kathryn Teng, MD MBA FACP; Amit Phull, MD; Caroline Berchuck, MD MPH; Reza Alavi, MD MHS MBA; Sid Salvi.
After impressive pitches from each of the finalists, our judges selected the three winners of this year’s MD+ Datathon!
1st place
- Project: Minimizing Chronic Kidney Disease (CKD) Underdiagnosis Using Machine Learning
- Team: Dany Alkurdi, Felipe Giuste, Lawrence Huang, Keyvon Rashidi, Sachin Shankar
2nd place (tie)
- Project: The Impact of Social Work Referrals on 30-Day Unplanned Hospital Readmissions of Alcohol-related Disorders
- Team: Amy Oh, Archita Goyal, Emily Leventhal, Lei Zhou
2nd place (tie)
- Project: Can We Curb Frequent ED Visits Due to Alcohol-Related Conditions?
- Team: Cailin Winston, Caleb Winston, Chloe Winston, Claris Winston, Cleah Winston
We’d like to thank Hugging Face for providing computational resources for our datathon participants, Doximity and Conduce Health for their judge sponsorship, and Merck, for their sponsorship. Lastly, we want to spotlight MD+ Exec Members for working so hard the past month to put on this successful virtual datathon.
- Michael Yao — Perelman School of Medicine at the University of Pennsylvania
- Eric Shan — Perelman School of Medicine at the University of Pennsylvania
- Clara Sun — Case Western Reserve University School of Medicine
- Steve Stephen — University of Rochester School of Medicine
- Lathan Liou — Icahn School of Medicine at Mount Sinai
