Datathon

• Registration
• Subject Matter Experts and Agenda
• Winner Recognition
• Databases
• Hotel
• FAQs
• Sponsorship Opportunities

Registration

Subject Matter Experts

Agenda

Additional refreshments will be available both days at 10:00 a.m. and 3:00 p.m.

Databases

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.

• MIMIC-III
• MIMIC-IV
• eICU-CRD

Hotel

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 electronic health record 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.

• 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 should 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