Andreadis K, Rodriguez DV, Zakreuskaya A, Chen J, Gonzalez J, Mann D (2024)
Publication Type: Conference contribution
Publication year: 2024
Publisher: IOS Press BV
Book Volume: 316
Pages Range: 939-943
Conference Proceedings Title: Studies in Health Technology and Informatics
Event location: Athens, GRC
ISBN: 9781643685335
DOI: 10.3233/SHTI240565
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.
APA:
Andreadis, K., Rodriguez, D.V., Zakreuskaya, A., Chen, J., Gonzalez, J., & Mann, D. (2024). Bridging Gaps with Generative AI: Enhancing Hypertension Monitoring Through Patient and Provider Insights. In John Mantas, Arie Hasman, George Demiris, Kaija Saranto, Michael Marschollek, Theodoros N. Arvanitis, Ivana Ognjanovic, Arriel Benis, Parisis Gallos, Emmanouil Zoulias, Elisavet Andrikopoulou (Eds.), Studies in Health Technology and Informatics (pp. 939-943). Athens, GRC: IOS Press BV.
MLA:
Andreadis, Katerina, et al. "Bridging Gaps with Generative AI: Enhancing Hypertension Monitoring Through Patient and Provider Insights." Proceedings of the 34th Medical Informatics Europe Conference, MIE 2024, Athens, GRC Ed. John Mantas, Arie Hasman, George Demiris, Kaija Saranto, Michael Marschollek, Theodoros N. Arvanitis, Ivana Ognjanovic, Arriel Benis, Parisis Gallos, Emmanouil Zoulias, Elisavet Andrikopoulou, IOS Press BV, 2024. 939-943.
BibTeX: Download