Centralized Heart Failure Management Program Using Remote Monitoring, Artificial Intelligence
- Led by Nir Uriel, MD, MSc, and Gabriel Sayer, MD, NewYork-Presbyterian has developed a 5-phase approach using a custom algorithm and dashboard to identify patients with worsening heart failure who may benefit from heart failure management in between clinic visits.
- In phase one of the project, we launched a Centralized Heart Failure Management Program with a dedicated, centralized team, led by Kelly Axsom, MD. The team monitors patients using daily data uploads from remote technology—aortic pressure waveform, pulmonary pressure, and weight—and documents findings in the patient’s electronic medical record.
- More than 250 patients with heart failure symptoms have been enrolled in the program, using remote monitoring technology such as Philips Remote Patient Monitoring, CardioMEMs HF System, and the HeartLogic Heart Failure Diagnostic.
- In phase 2 of the project, the team uses an automated dashboard to identify patients who may benefit from a heart failure consult or other cardiology service, and partners with local cardiologists to deliver medical therapy or an intervention as needed.
- Future goals of the project include expanding the reach of the program and using AI to predict which patients will develop heart failure, increasing the role of precision medicine, improving health and quality-of-life outcomes, and reducing overall heart failure hospital readmissions.
For more information about our Heart Failure Program, please visit www.nyp.org/heart/heart-failure.
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