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Clinicians and data scientists collaborate to address real-world problems using existing datasets.

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August 5-6, 2023
360 Madison Avenue
New York City, New York

Theme: Data Science in Critical Care
Subtheme: COVID-19 and Health Equity

The Society of Critical Care Medicine's (SCCM) Datathon is a collaborative event connecting clinicians with data scientists to develop pragmatic data-driven models applicable to the care of critically ill patients​ using de-identified critical care electronic health record datasets

The Datathon demonstrates the multiprofessional approach required to successfully analyze large datasets. It combines medical science and data science techniques to address real-world problems using existing datasets.

The Datathon is part of Discovery, the Critical Care Research Network, and is designed to synthesize critical problem solving and data analytics, promote multiprofessional collaboration, and increase data science knowledge and innovation. The goal is to identify projects that have the potential to lead to publication and improve the care of critically ill patients. 

Critical care clinicians, researchers, and data scientists are encouraged to participate.


Registration closes July 5, 2023.

I am a clinician.

I am a data scientist.

I am a student data scientist.

Clinician - SCCM Member
By July 5, 2023
Select Member - Physician ​$320
Select Member - Healthcare Professional ​$265
Professional Member - Physician $340
Professional Member - Healthcare Professional and Trainee* $280
Associate Member - Physician $380
Associate Member - Healthcare Professional $315

* Trainees must be a member of SCCM's Sponsored Trainee Program.

Clinician - Nonmember
By July 5, 2023
Physician ​$400
Healthcare Professional ​$330
Data Scientist
By July 5, 2023
Data Scientist ​$100

Payment Information

  • American Express, Discover, MasterCard, and Visa credit cards are accepted.

  • Check or international money order, payable to SCCM, may be used to register via mail only.

  • Fees must be paid in U.S. funds and checks must be drawn on a U.S. bank.

  • For information on paying via wire transfer, please contact SCCM Customer Service at +1 847 827-6888.

  • Inquiries can be emailed to

Cancellation Policy 

Registrants may be eligible for refunds of activities at SCCM’s discretion. If you have not accessed the activity’s materials, have not completed a significant portion of the activity, and/or the content does not meet your needs, you may be eligible for a refund.

A registrant’s cancellation of an in-person activity may incur a fee, at SCCM’s discretion. To reschedule an in-person activity, please contact SCCM Customer Service at least 30 days before the activity.

If SCCM cannot hold an activity as intended, SCCM shall not be liable for any costs, expenses, or fees related to cancellation of travel and attendance associated with the event.

Subject Matter Experts

An-Kwok Ian Wong, MD, PhD
An-Kwok Ian Wong, MD, PhD
Critical Care Specialist and Pulmonologist
Duke University Medical Center
Durham, North Carolina, USA
Nurse Scientist and Clinical Nurse Specialist 
Stanford Health Care 
Stanford, California, USA 
Leo Anthony G. Celi, MD, MPH, MS
Keynote Speaker
Leo Anthony G. Celi, MD, MPH, MS
Massachusetts Institute of Technology 
Beth Israel Deaconess Medical Center 
Cambridge, Massachusetts, USA 


Saturday, August 5, 2023
7:30 a.m. – 8:00 a.m. Registration and Continental Breakfast
8:00 a.m. – 8:30 a.m. Welcome
8:30 a.m. – 9:00 a.m. Keynote
Leo Anthony G. Celi, MD, MHP, MS
9:00 a.m. – 9:15 a.m. Team Introductions
9:15 a.m. – 9:45 a.m. Dataset and Tool Introduction
An-Kowk Ian Wong, MD, PhD
9:45 a.m. – 12:00 p.m. Datathon Team Work
12:00 p.m. – 1:00 p.m. Lunch
1:00 p.m. – 5:00 p.m. Datathon Team Work
5:00 p.m. – 6:00 p.m. Team Report
Sunday, August 6, 2023
7:30 a.m. – 12:00 p.m. Datathon Team Work
12:00 p.m. – 12:30 p.m. Lunch
12:30 p.m. – 3:00 p.m. Datathon Team Presentations



Judging Results


Databases used in the 2023 Datathon: 

  • SCCM Discovery VIRUS registry
    • The SCCM Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS) is a prospective, cross-sectional, observational study and registry of all eligible adult and pediatric patients who are admitted to a hospital. The dataset developed from VIRUS comprises de-identified data from 306 participant sites across 28 countries. This is the first time the VIRUS dataset will be made available for analysis during a datathon. 
  • eICU-CRD database 
    • The original eICU Collaborative Research Database (eICU-CRD) is a large multicenter critical care database developed by Philips Healthcare in partnership with the MIT Laboratory for Computational Physiology. eICU-CRD contains data associated with over 200,000 patient stays, providing a large sample size for research studies. The updated eICU-CRD database contains recent COVID-19 data.  
  • eICU-CRD v2.0 database
    • The updated eICU-CRD v2.0 database contains patient data from 2020 and 2021, giving researchers access to valuable clinical data from 200,000 patients. This database is a vital resource for education and research and has the potential to bolster medical and informatics training. It contains significant data from the COVID-19 pandemic. eICU-CRD v2.0 contains de-identified data including diagnoses, laboratory results, severity of illness scores, vital signs, and pharmacy and medication orders for patients from 200 U.S. hospitals.
  • MIMIC-III dataset
    • The Medical Information Mart for Intensive Care III (MIMIC-III) dataset is a large, freely available database comprising de-identified health-related data associated for more than 40,000 patients who were in critical care units at Beth Israel Deaconess Medical Center between 2001 and 2012.
  • MIMIC-IV dataset
    • MIMIC-IV is an updated, improved version of MIMIC-III that incorporates contemporary data. MIMIC-IV adopts a modular approach to data organization, highlighting data provenance and facilitating both individual and combined use of disparate data sources.

Please examine the links below to ensure that the questions you submit during registration are answerable.
Use of associated databases (e.g, MIMIC-CXR, MIMIC-III Waveform) is permitted but no support will be provided.

Use of unassociated databases is not permitted.


SCCM will offer discounted hotel room rates. Information will be available soon.


Hilton Garden Inn New York Times Square North
30 W 46th St.
New York, New York

Conveniently located between 5th and 6th Avenue, the hotel is less than a 10-minute walk to Rockefeller Center, Times Square, Broadway, Diamond District, Grand Central Station, and Bryant Park. Fifth Avenue shopping is steps away. The hotel features an upscale Italian restaurant, flexible meeting space, a fitness center, and a 24-hour market.

SCCM rate*: $239
*Rate does not include applicable taxes.
Book Now

Parking rates: $65 valet / $50 self-parking

Reservations:  Make your hotel reservation by June 19, 2023, to receive SCCM’s discounted rate for stays between August 3 and 5, 2023. 


Frequently Asked Questions

Who can participate in the datathon?

Critical care clinicians, researchers, data scientists, and data science students are encouraged to participate. Clinicians need not be primarily researchers. Data scientists need not work in the field of critical care. Participants will be grouped into teams to maximize collaboration and success.

Why is SCCM supporting an annual datathon?

  • Interest in data science-related content has been growing in the critical care community.
  • Machine learning algorithms using EHR data play an increasingly important role in healthcare to provide predictive models for prognosis, quality, and patient safety.
  • While many clinicians have access to large datasets in their organizations, few have been exposed to data analytics techniques. While data scientists have the analytic techniques to process large amounts of data, few have the medical knowledge and experience to identify significant research routes.

Can teams publish their findings?

  • Yes! SCCM encourages teams to continue to collaborate and ultimately publish their findings.
  • The enthusiastic atmosphere of the datathon and the unique access to data and data science expertise often result in publication, and ongoing collaborations often arise.
  • Although it is not possible to write a manuscript during the datathon, many teams continue their collaboration afterward and successfully publish their work in Critical Care Medicine and other peer-reviewed journals.

Are awards available for datathon participation?

  • The top three teams will have the opportunity to send a representative to present their results at the 2024 Critical Care Congress, to be held January 21-23, 2024, at the Phoenix Convention Center in Phoenix, Arizona, USA.
How do I apply for travel support?
  • Data scientist registrants who are students (through postdoctorate) are eligible for travel support. Please have a letter of recommendation from a professor at your institution ready for submission during registration. This letter of recommendation should include the official institution letterhead and the contact information for your professor and speak to your skill set.
  • Available travel support
    • $100 for those from institutions in the New York City area
    • $500 for those from institutions in the Northeast, including Maine, Connecticut, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Vermont, and Rhode Island.
    • $1000 for those outside the Northeast

Sponsorship Opportunities

The Datathon provides opportunities for sponsors to bring their marketing message and information about their products and services directly to key members of the intensive care/critical care unit team and other professionals.

Demonstrate your commitment to the future of healthcare through advances in data science. SCCM and its industry partners are invested in health equity as partners in the shared mission to improve critical care. Support for health equity initiatives is ethically imperative and necessary for building trust and credibility with patients, communities, and stakeholders.

Position your organization as a leader in critical care research innovation. Your organization's support for the event will be prominently displayed in all promotional materials, providing your organization with valuable exposure to a wide range of professionals in the field.

Connect with the brightest minds within critical care and data science. This event brings together some of the most talented and innovative data professionals, providing opportunity to develop partnerships that can help drive your organization's innovation agenda.
Multiple opportunities are available to target your company’s goals and meet your budget when you become a sponsor.

Contact Desiree Ng at +1 847 827-7188 for more information.