Generative AI systems such as chatGPT produce impressive summaries of documents on the Internet, including clinical studies. But Atropos Health can turn queries into searches of detailed health care data, including:
- Data extracted from a clinical system’s own EHR, usually deidentified
- Data about rare conditions from multiple organizations who share data in a privacy-compliant manner through a collection called the Atropos evidence network
- Public health repositories such as the CDC
Brigham Hyde, CEO and cofounder, explains in this video how Atropos offers an interface like that of chatGPT, serving up concise summaries followed by detailed statistics. The user interaction offers a “conversation loop” that doctors rate highly.
Currently, queries are monitored by a person who can help the doctor refine and improve the query. Typical questions concern research topics, diagnoses, and drug formularies, but can also look at hospital policies: “Why do we do things this way?” Results can also be appended to the patient record, where it can serve billing purposes.
Clinical studies, Hyde says, “don’t contain most of the patients you’ll see,” because potential subjects get excluded from trials due to comorbidities, pregnancy, age, or other considerations. The great advantage of Atropos is to include data from these patients.
Watch the video for more details about the services, how databases are rated, and more.
Learn more about Atropos Health: https://www.atroposhealth.com/
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