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Related Concept Videos

Hypertension and Regulation of Blood Pressure01:18

Hypertension and Regulation of Blood Pressure

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Hypertension, the most common cardiovascular disease, is diagnosed through repeated measurements of elevated blood pressure. Its risks, including damage to the kidney, heart, and brain, are directly proportional to blood pressure levels. Starting from 115/75 mm Hg, the risk of cardiovascular disease doubles with each increment of 20/10 mm Hg. The diagnosis relies on blood pressure measurements, not on patient symptoms, as hypertension is often asymptomatic until end-organ damage is imminent or...
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Hyper-DREAM, a Multimodal Digital Transformation Hypertension Management Platform Integrating Large Language Model

Yijun Wang1,2, Tongjian Zhu3, Tong Zhou1

  • 1Department of Cardiology, The First Affiliated Hospital of Bengbu Medical Universtiy, 287 Changhuai Road, Longzihu District, Bengbu City, Anhui Province, 430060, P.R. China.

Journal of Medical Systems
|April 2, 2025
PubMed
Summary

The Hyper-DREAM platform, an AI-driven tool for hypertension management, enhances patient care and clinician efficiency. It shows high patient satisfaction and reduces management time, proving promising for clinical use.

Keywords:
ChatGPTDigital healthDigital phenotypingDigital transformationHypertension managementLarge language modelsMobile healthMultimodal interventionPrecision medicine

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Area of Science:

  • Digital Health
  • Artificial Intelligence in Medicine
  • Cardiovascular Disease Management

Background:

  • Limited systematic research exists on mHealth frameworks for hypertension, particularly in establishing digital health archives and leveraging large language models (LLMs) for patient data analysis and clinical decision support.
  • Effective management of hypertension requires comprehensive patient data and advanced tools to assist clinicians in monitoring and controlling blood pressure (BP).

Purpose of the Study:

  • To describe the design, development, and usability evaluation of the Hyper-DREAM platform, an mHealth tool for hypertension management.
  • To assess the performance of the platform's BP Coach component against other AI models and clinicians.
  • To evaluate the impact of the Hyper-DREAM platform on clinician workload and patient management efficiency.

Main Methods:

  • Iterative design and development of the Hyper-DREAM platform over one year, incorporating multimodal data collection, interventions, and interactions.
  • Usability evaluation using the mHealth App Usability Questionnaire (MAUQ) with 51 hypertensive patients and the Doctor's Software Satisfaction Questionnaire (DSSQ) with 6 clinicians.
  • A comparative experiment evaluating the BP Coach, ChatGPT-4o Mini, ChatGPT-4o, and clinicians on utility, completeness, clarity, and conciseness.

Main Results:

  • The BP Coach component scored higher in utility and completeness than ChatGPT-4o Mini, ChatGPT-4o, and clinicians.
  • Clinicians reported improved work efficiency and patient interactions with Hyper-DREAM, with decreased work intensity and routine disruptions.
  • Hyper-DREAM demonstrated significantly higher overall patient satisfaction compared to standard WeChat-based management, with reduced patient management time.

Conclusions:

  • Hyper-DREAM is a novel, AI-driven platform for hypertension management that effectively alleviates clinician workload and enhances patient care.
  • The platform exhibits user-friendliness, high satisfaction rates, utility, and efficient information organization, showing significant promise for clinical integration.
  • The BP Coach component highlights the potential of LLMs in advancing mHealth strategies for hypertension management.