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UCH Epic Cosmos |
Epic Cosmos is a collaborative dataset created by Epic Systems, involving a community of health systems. It aims to improve patient care by combining data from participating organizations to make new discoveries and advance medicine. Cosmos integrates both inpatient and outpatient records into a comprehensive, longitudinal record, including diagnoses, medications, and patient-generated data.
This dataset supports clinicians by providing insights tailored to individual patients, facilitating evidence-based care, and enabling collaboration on rare conditions. Cosmos includes data from over 289 million patients and 1,626 hospitals. |
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General Consult |
Discussion with CHI about your data, technology development, or data analysis needs. We have Epic-certified analysts, application developers and data scientists on staff, along with closely aligned data science faculty. From study design, to designing ways for more effective utilization of biohealth data, to enhancing your grant submissions, our integrated group in Biomedical Informatics can help enhancing your biohealth data science. If you are a student, we can provide certain subsidized services, see Terms of Service. |
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Machine Learning/AI Applications |
Many clinical approaches are increasingly amenable to solutions that invoke artificial intelligence, including challenges in differential diagnostics, treatment recommendation, precision dosing, and patient behavior. CHI can suggest Machine Learning/AI approaches and design solutions that can be implemented in Epic and in clinical or research workflows. |
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N3C National COVID Repository |
The National COVID Cohort Collaborative (N3C) maintains the largest collections of clinical data related to COVID-19 phenotypes and outcomes in the US. Having access to a large, centralized data resource allows research teams to study COVID-19, analyze and publish. The N3C aggregates electronic health record (EHR) data for patients who test positive for COVID-19 and controls who test negative from multiple health systems across the country. Data are translated into a common data model (OMOP) and stored in a central repository called the ‘Enclave’ that is accessible to authorized researchers. |
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