May 18 - 19, 2023

MIT Critical
Datathon '23

Let's Go!
This Year's Edition

Riverfront Office Park
Cambridge, MA









Patient Safety through a Health Equity Lens

The MIT Critical Datathon will showcase the value of harnessing the talent and perspectives of students from different disciplines and backgrounds in understanding Patient Safety from a Health Equity lens. Built on the principles of Open Science, Citizen Science, and Open Innovation, this datathon seeks to reframe the issue of patient safety with a stronger focus on health disparities, since treatment injuries disproportionately affect marginalized patient populations.

The event will bring together students from underrepresented groups and Health Equity investigators. To capture diverse perspectives, we will involve professionals across several disciplines:

  • Physicians
  • Nurses
  • Pharmacists
  • Social Workers
  • Health Equity Researchers

The Challenge

Patients of color often have falsely elevated O2 readings as a result of limitations in pulse oximetry performance across different ethnicities. Focusing on Patient Safety, the main challenge of this Datathon will be to create Correction Models for Pulse Oximetry that map SaO2 from SpO2 measurements.

The participating teams will be composed of High School students and Computer Science undergraduate students. Mentors who appreciate and understand Patient Safety will bring their unique perspectives, experience, and critical thinking to the table!

As we believe that only reproducible, transparent research can actually help advance the field, we share all our code in open-source. All the data preparation and team's code will be made available on GitHub.

Code Repository

The Mentors

This is our team of experts, responsible for guiding the participating teams

Adrien Carrel
Imperial College London, Université Paris-Saclay
Amélie Forgeot D'Arc
SafeTeam Academy, Patient Safety Database
Andre Kurepa Waschka
Mercer University
Anirban Bhattacharyya
Senior Associate Consultant Critical Care and Assistant Professor or Medicine
Barbara Lam
Beth Israel Deaconess Medical Center
Beatrice Brown-Mulry
Emory University
Brian Gow
MIT Laboratory for Computational Physiology
Brian Malley
CRISMA Center, University of Pittsburgh
Charles Senteio
Rutgers University School of Communication and Information
Chenyu Li
University of Pittsburgh School of Medicine Department of Biomedical Informatics
Chrystinnne Fernandes
MIT Laboratory for Computational Physiology
David Andrade
Universidad CES Biomedical Engineering
David Restrepo
MIT Laboratory for Computational Physiology, University of Cauca
François Jaulin
SafeTeam Academy, Patient Safety Database
Fredrik Willumsen Haug
Harvard College
Gloria Hyunjung Kwak
Massachusetts General Hospital, Harvard Medical School
Grigorij Schleifer
Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn
Ian Wong
Division of Pulmonary, Allergy, and Critical Care Medicine at Duke University
Jesse Raffa
MIT Laboratory for Computational Physiology
João Matos
MIT Laboratory for Computational Physiology, University of Porto
Joey Byers
Beth Israel Deaconess Medical Center
Jonathan Sønderbo Patscheider
Trust Stamp Denmark
Joseph Pold
PLOS Digital Health
Judy Gichoya
Emory University
Kanan Shah
NYU Langone Hospitals
Leo Anthony Celi
MIT-LCP, Beth Israel Deaconess Medical Center, Harvard Medical School
Luca Weishaupt
Harvard-MIT Health Sciences & Technology
Lucas McCullum
The University of Texas
Luis Nakayama
MIT Laboratory for Computational Physiology, São Paulo Federal University
Maria Loureiro
iLoF - Intelligent Lab on Fiber
Marie-Laure Charpignon
Mathew Samuel
MIT Critical Data
Michael Scanlan
MIT Laboratory for Computational Physiology
Mingying Yang
Pablo Moreno Franco
Chair Critical Care and Chair Quality Mayo Clinic Florida
Peter Tremain
The University of Auckland, Auckland Bioengineering Institute
Rakesh Shiradkar
Emory University, Georgia Institute of Technology
Renata Prôa
Center for Theoretical Neuroscience, Columbia University
Sebastian Cajas Ordonez
Harvard, National Irish Center of Applied AI
Sicheng Hao
MIT Laboratory for Computational Physiology
Skyler Shapiro
MIT Laboratory for Computational Physiology, Cornell University
Tiffany Wang
Ronald Reagan UCLA Medical Center
Tom Pollard
MIT Laboratory for Computational Physiology
Tomonoshin Aoki
Harvard T.H. Chan School of Public Health
Tristan Struja
Medical University Clinic Aarau Switzerland, MIT Laboratory for Computational Physiology
Urvish Jain
University of Pittsburgh
Valencia Koomson
Tufts University
Xiaomeng Ma
Institute of Health Policy Management and Evaluation, University of Toronto
Yugang Jia
Verily Life Sciences, MIT


Two intensive days of health data analysis, networking, and discussion

Time Activity Local
9:30 - 10:15 Breakfast & Opening Session Main Room
10:15 - 11:45 Workshop 1 Main Room
11:45 - 12:30 Checkpoint 1 Main Room
12:30 - 13:00 Working Lunch Networking Lounge
13:00 - 14:30 Workshop 2 Main Room
14:30 - 15:00 Checkpoint 2 Main Room
15:00 - 16:30 Workshop 3 Main Room
17:30 - 20:00 Networking Event & Dinner Networking Lounge
Time Activity Local
9:00 - 9:15 Breakfast Networking Lounge
9:15 - 10:00 Checkpoint 3 Main Room
10:00 - 12:30 Workshop 4 Main Room
12:30 - 13:00 Working Lunch Networking Lounge
13:00 - 14:00 Checkpoint 4 Main Room
14:00 - 15:00 Preparation of Slides Main Room
15:30 - 16:30 Final Presentations Main Room
16:30 - 17:00 Closing Session Main Room

Networking Panel

Join us for a networking event and dinner on May 18th, 5.30-8PM EDT.
The panel will focus on key topics related to Health Equity, Patient Safety, the Future of AI in Healthcare, and Data Bias

Dr. Jennifer Joe
Dr. John Chan
Dr. Judy Gichoya
Emory University
Dr. Marzyeh Ghassemi
Mercy Oladipo

Relevant Publications

Prior publications on the impact of pulse oximetry on patient outcomes in the ICU

Impressions from previous Datathons

Health Datathons take place all around the world on a monthly basis


Get directions to our Venue!


Riverfront Office Park
1 Main Street, 12th Floor
MA, 02142, United States

Partners & Sponsors

Thank you for making this event possible!