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Real-World Evaluation of an Automated Algorithm to Detect Patients With Potentially Undiagnosed Hypertension Among Patients With Routine Care in Hawai'i.

Mika D ThompsonYan Yan WuBlythe NettLance K ChingHermina TaylorTiffany LemmenTetine Lynn SentellMeghan D McGurkCatherine M Pirkle
Published in: Journal of the American Heart Association (2023)
This evaluation provided evidence that a clinical algorithm implemented within a large health system's electronic health records could detect patients in need of follow-up to determine hypertension status, and it identified key individual characteristics, clinical and health system factors, and timing considerations that may contribute to undiagnosed hypertension among patients receiving routine care.
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