Bridging Gaps with Generative AI: Enhancing Hypertension Monitoring Through Patient and Provider Insights.

Journal: Studies in health technology and informatics
PMID: 39176946

Abstract

This study introduces a Generative Artificial Intelligence (GenAI) assistant designed to address key challenges in Remote Patient Monitoring (RPM) for hypertension. After a comprehensive needs assessment from clinicians and patients, we identified pivotal issues in RPM data management and patient engagement. The GenAI RPM assistant integrates a patient-facing chatbot, clinician-facing smart summaries, and automated draft portal messages to enhance communication and streamline data review. Validated through six rounds of testing and evaluations by ten participants, the initial prototype was positively received, highlighting the importance of personalized interactions. Our findings demonstrate GenAI's potential to improve RPM by optimizing data management and enhancing patient-provider communication.

Authors

  • Katerina Andreadis
    Department of Population Health, NYU Grossman School of Medicine, New York, New York, United States of America.
  • Danissa V Rodriguez
    Department of Population Health, New York University Grossman School of Medicine, New York, NY, United States.
  • Anastasiya Zakreuskaya
    New York University Grossman School of Medicine, New York, USA.
  • Ji Chen
    Department of Population Health, New York University School of Medicine, New York, NY, United States.
  • Javier González
    Department of Urology, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
  • Devin Mann
    Department of Population Health, New York University School of Medicine, New York, NY, United States.

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