New York University Grossman School of Medicine, New York, USA.
Machine Learning and Data Analytics Lab, Univerity Erlangen-Nuremberg, Germany.
Stud Health Technol Inform. 2024 Aug 22;316:939-943. 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.
本研究引入了一种生成式人工智能（GenAI）助手，旨在解决高血压远程患者监测（RPM）中的关键挑战。在对临床医生和患者进行全面需求评估后，我们确定了 RPM 数据管理和患者参与方面的关键问题。GenAI RPM 助手集成了面向患者的聊天机器人、面向临床医生的智能摘要以及自动起草门户消息，以增强沟通并简化数据审查。经过十位参与者六轮测试和评估，初始原型得到了积极反馈，突出了个性化交互的重要性。我们的研究结果表明，GenAI 具有通过优化数据管理和增强医患沟通来改善 RPM 的潜力。
