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
2,070
Hospitals
304 Million
Patients
47.1K
Clinics
Meet a few of our Cosmos community members:
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
Standard growth charts often don't account for disease-specific nuances that can influence a child's development. When a chronic condition affects a child's growth, Cosmos enables growth charts that show clinicians and family members how the child is progressing relative to others with the same disease.
Publications Using Cosmos
Researchers in the Cosmos community have published dozens of papers using Cosmos data.
Some statistics on research publications that used Cosmos data:
177
Publications
121
Journals
58
Organizations
177
Publications
121
Journals
58
Organizations
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.
ED Visits for Motor Vehicle Crashes Associated with Elevated Risk of Subsequent Firearm Injury for Young Male Patients
Male patients aged 10 to 15 who had an ED visit for a motor vehicle crash (MVC) were as much as four times as likely to experience a subsequent firearm injury compared with those whose ED visit was for a fall, in some parts of the United States.
Cardiovascular Event Risk Increases More Sharply for Men Than Women at Very Low Average Blood Pressure
The risks of myocardial infarction (MI), ischemic stroke, and hemorrhagic stroke are increased for patients with high or low average systolic blood pressure (BP). The risks are greater at very low systolic BP than at very high systolic BP.
Two Years After Stopping GLP-1s, Most Patients Sustain at Least Some Weight Loss
At 24 months post-cessation, 56% of semaglutide, 52% of liraglutide, and 55% of tirzepatide patients kept the weight off or lost additional weight.
Most Patients with Type 2 Diabetes Maintain HbA1c Improvements a Year After Stopping GLP-1 Medications
Three months after stopping a GLP-1, 40% of patients had further improved their HbA1c compared to when they discontinued the GLP-1, 48% kept some of their improvement, and just 12% had a worse HbA1c compared to their pre-GLP-1 level.
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