Medical professionals face a critical information overload, with 10,000 to 20,000 new papers published daily, making it impossible to stay current through traditional tools like PubMed during brief patient encounters. OpenEvidence addresses this gap by using complex machine learning queries and model orchestration to provide doctors with immediate, evidence-based answers at the point of care. Integrated directly into clinical workflows alongside electronic health records like Epic, the platform parses interconnected comorbidities to assist in complex treatment decisions within seconds. Powered by Baseten for high-speed inference and reliability, the tool is now used regularly by nearly half of all physicians in the United States. This technological shift moves medical practice away from time-consuming manual literature searches toward a model where the most current clinical knowledge is instantly accessible, ultimately ensuring patients receive the most accurate and up-to-date care possible.
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