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Medical Record Abstraction for Quality Improvement in Sepsis Care Using Artificial Intelligence

Boussina, Aaron et al.
eScholarship · Papers
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42-health-sciences-for-20204206-public-health-for-2020
Importance: Hospital quality reporting remains a manual, costly process with critical limitations as a mechanism to improve care outcomes. Objective: To assess whether near-real-time quality measurement, enabled by large language models (LLMs), can improve quality performance as measured by the Cent
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