Development of a GenAI-Powered Hypertension Management Assistant: Early Development Phases and Architectural Design

Danissa V. Rodriguez, Katerina Andreadis, Ji Chen, Javier Gonzalez, Devin Mann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This study describes the implementation of a Generative AI (GenAI) assisted Remote Patient Monitoring (RPM) system for hypertension management. Using user-centered design and agile development methodology, we created a minimal viable product (MVP) of the GenAI-RPM system, which includes key functionalities: 1) a GenAI-powered SMS platform for patient interaction, responding to reported RPM values, and engaging in follow-up conversations, 2) integrated GenAI-powered content into the Electronic Health Records (EHR) for provider-facing smart summaries and portal message drafts. This integration aims to enhance both patient-facing tasks (like managing responses to RPM values and patient engagement) and provider-facing tasks (including automated content generation for clinical communication). The MVP's success paves the way for expanding patient-facing functionalities and further refining provider-facing features, indicating promising directions for future development and research in digital healthcare for hypertension management.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages350-359
Number of pages10
ISBN (Electronic)9798350383737
DOIs
StatePublished - 2024
Externally publishedYes
Event12th IEEE International Conference on Healthcare Informatics, ICHI 2024 - Orlando, United States
Duration: 3 Jun 20246 Jun 2024

Publication series

NameProceedings - 2024 IEEE 12th International Conference on Healthcare Informatics, ICHI 2024

Conference

Conference12th IEEE International Conference on Healthcare Informatics, ICHI 2024
Country/TerritoryUnited States
CityOrlando
Period3/06/246/06/24

Keywords

  • Digital healthcare
  • Generative AI
  • Hypertension
  • Remote Patient Monitoring

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