Epic Cosmos

Cosmos is a dataset created in collaboration with a community of health systems using Epic and is designed to improve patient care. By combining their data, participating organizations and Epic can make new discoveries and advance medicine. Cosmos also powers tools at the point of care, providing insights to clinicians that are tailored to the patient in front of them.

More about Cosmos →

Cosmos Community

2,336

Hospitals

310 Million

Patients

51.9K

Clinics

Meet a few of our Cosmos community members:

University of Arkansas for Medical Sciences

Learn more about the Cosmos community →

Cosmos in Action

Cosmos at the Point of Care

The vision for Cosmos has always included empowering providers with data to improve care for their patients. With our recently released and ongoing development of Cosmos-enabled features, providers can use attributes from the patient in front of them to review personalized insights they can use alongside their own expertise and experience to partner with their patient on shared decision-making. Some examples include:

Best Care Choices

To further evidence-based care, Best Care Choices for My Patient shows providers insights into how similar patients responded to the treatments they are considering, right at the point of care. Physicians will be able to explore the collective knowledge from millions of clinical decisions to see treatments and resulting outcomes for patients like the one in front of them.

Look-Alikes

Very rare conditions and medical mysteries often result in limited evidence for a physician to draw from when determining a course of action or treatment for their patient. Look-Alikes enables providers to connect with other providers across the Cosmos community who might have experience with patients with a similar constellation of symptoms or condition so they can collaborate on care.

Condition-Specific Growth Charts

Publications Using Cosmos

Researchers in the Cosmos community have published dozens of papers using Cosmos data.

269

Publications

171

Journals

Organizations

269

Publications

Epic Research

While traditional research continues to serve as a primary source of information to inform clinical practice, we identified a need for a new kind of analysis focused on getting good data out quickly to clinicians and decision-makers where it can make a difference. To address this need, we launched Epic Research. Using our dual-team process, Epic Research teams evaluate timely, topical, and relevant questions and make findings available to the public at no-cost at EpicResearch.org.

Likelihood of Early-Onset Colorectal Cancer by Pre-Screening AST and ALT Level

Low AST and ALT Levels Are Associated with Higher Likelihood of Early-Onset Colorectal Cancer in Adults Under 45

Among adults aged 18–44 undergoing a first colorectal cancer (CRC) screening, a pre-screening AST below 14 U/L was associated with a 65% higher likelihood of an early-onset CRC diagnosis, and an ALT below 14 U/L with a 68% higher likelihood, each compared with patients whose values fell in the range of 14–29 U/L.