Cosmos Datathon Survey

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Epic Cosmos is a secure, large-scale clinical research platform that brings together longitudinal de-identified electronic health record data from hundreds of healthcare organizations into a single, searchable resource. It includes comprehensive inpatient and outpatient data spanning more than 300 million patients, including diagnoses, medications, laboratory results, and specialty-specific information, enabling clinicians and researchers to efficiently explore clinical questions using diverse and representative healthcare data.

The Cosmos Datathon is designed to help researchers discover how Cosmos can support every stage of the research process, from generating new research questions to exploring existing hypotheses with real-world data. Whether you are new to research analytics or an experienced investigator, the event will provide practical, hands-on opportunities to learn the capabilities of the platform and identify how it can be incorporated into your own research.

Participants will gain guided experience using SlicerDicer for Cosmos and related Cosmos analytics tools with support from Epic and the University of Chicago and UCM Cosmos teams. The event will also include demonstrations and presentations covering more advanced research workflows, including use of the Data Science Virtual Machine (DSVM) to identify and access datasets and perform analyses using SQL, R, Python, and other data science tools.

Where:	The Gordon Center for Integrative Science, 929 E. 57th St., Room W301/303/303E
When:	Friday, October 2nd, 8:00 AM - 5:00 PM
Who:	The datathon is open to UCM clinicians and University of Chicago faculty, staff, and students interested in using Cosmos for research.
Cost:	There is no cost to attend. Food will be provided.
Hosts:	University of Chicago Center for Research Informatics, UCM IT, and Epic
Sponsor:	University of Chicago Center for Research Informatics

Please provide the information below to help us prepare for the event. Your responses will allow us to ensure participants have the necessary access to Cosmos, tailor the event to attendees with different levels of experience, and organize teams based on shared research interests whenever possible.

Full Name

* must provide value

Primary Affiliation

* must provide value

UCM

BSD

University

Pritzker

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BSD Department

* must provide value

Institutional Email Address

* must provide value

Do you have a meal preference?

* must provide value

No Dietary Preference

Vegetarian

Vegan

Other

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Other

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What is your role at University of Chicago or UCM?

Do you currently have access to Cosmos?

Yes

Unsure

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Access to Cosmos is required for participation in the Datathon. Please submit an access request at least three weeks prior to the event using [this link]. When completing the request, in addition to the normally required information, please indicate that you are requesting access for the Cosmos Datathon in the text box.

How would you describe your familiarity with Cosmos?

* must provide value

No experience

Basic/Beginner

Intermediate/Some Experience

Advanced/Extensive Experience

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How would you describe your familiarity with SlicerDicer?

* must provide value

No experience

Basic/Beginner

Intermediate/Some Experience

Advanced/Extensive Experience

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How would you describe your proficiency with your strongest data analysis language (SQL, Python, or R)?

* must provide value

No experience

Basic/Beginner

Intermediate/Some Experience

Advanced/Extensive Experience

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Which research areas are you interested in?

* must provide value

Cancer Research

Neurobiology

Public Health Sciences

Anesthesia and Critical Care

Family Medicine

Medicine

Neurology

Obstetrics and Gynecology

Ophthalmology and Visual Science

Orthopedic Surgery and Rehabilitation Medicine

Pathology

Pediatrics

Psychiatry and Behavioral Neuroscience

Radiation and Cellular Oncology

Radiology

Surgery

Other

* must provide value

If applicable, let us know about collaborators you would like to work with, your department or section, specific research interests not captured above, or any other information that may help us organize teams during the Datathon. We will make every effort to accommodate team grouping requests. However, group assignments may be adjusted to balance team size and expertise.

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