""We already have an AI assistant we built for our home blood pressure monitoring program - that right now still has a human in loop for doing the titrations of the meds. Five years from now, we're not going to have a human doing those titrations," said Dr. Devin Mann, senior director for informatics innovation at NYU's Center for Healthcare Innovation and Delivery Science."
"Dr. Paul Testa, NYU's chief medical information officer, agreed, saying "there's no reason to." In his eyes, hypertension management is a clear example of where full automation makes sense. Under current care models, getting a patient to their target blood pressure can take six to nine months, largely because of slow, incremental medication adjustments that require repeated interactions with the health system and its human clinicians."
"Full automation could also significantly improve a patient's "time to therapy," Dr. Testa added. Patients typically experience a delay between diagnosis and effective treatment, and this period is often unnecessarily long - not because clinicians don't know what to do, but because the healthcare system moves slowly, he explained. AI could shrink that window by automating routine steps like data review, guideline-based decisions and patient follow-ups to reach the right treatment faster, Dr. Testa stated."
AI agents are poised to perform routine clinical tasks autonomously, with blood pressure medication titration cited as an imminent example. A home blood pressure monitoring assistant currently operates with a human overseeing titrations but is expected to run without human intervention in the near future. Hypertension management follows well-established guidelines and relies on objective home blood pressure data, making it suitable for automated decision-making. Full automation can shorten the long delay between diagnosis and effective treatment by automating data review, guideline-based decisions, and patient follow-ups, accelerating time-to-therapy compared with slow, incremental human-driven adjustments.
Read at MedCity News
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