健康心脏助手,基于whatsapp的生成预训练变压器技术,用于高血压患者的自我护理

Samuel E. Antia MD, MSc , Collins N. Ugwu MD, MSc , Vishal Ghodka BE , Babangida S. Chori MSc , Muhammad S. Nazir MD, MSc , Chizoba A. Odili PhD , Godsent C. Isiguzo MD, PhD , Sri Vasireddy MS, MBA , Augustine N. Odili MD, PhD
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引用次数: 0

摘要

目的评价创新型生成式预训练变形聊天机器人在资源有限环境下改善高血压患者自我保健的可行性、可用性和有效性。一项单臂非盲法临床试验在一个低资源环境下繁忙的心脏病学诊所进行。在50名接受高血压治疗的成年人的智能手机上启动了人工智能聊天机器人(健康心脏助手)。参与者接受了如何使用健康心脏助手的培训,包括设置药物和预约提醒。在入组时和30天后进行基线问卷调查,以探索机器人的可接受性、可行性和可用性。采用聊天机器人可用性问卷和自制的健康心脏助手满意度问卷,分别对聊天机器人可用性和患者满意度进行评估。这项研究从2024年4月5日开始,一直持续到2024年7月15日。结果在200名高血压临床参与者中,70人(35%)拥有可上网的机器人兼容手机,其中50名高血压患者被招募参加了这项研究。在50名参与者中,2名(4%)失去随访;女性19例(39.6%);受过高等教育的40人(83.3%)。使用机器人的平均训练时间为5.7分钟,35名(70.8%)参与者能够在5分钟内使用机器人。参与者在时间框架内的聊天频率中位数平均为1.5次/天。聊天机器人可用性问卷得分为69.5%,自制健康心脏助手满意度问卷得分为90%。结论该概念验证研究表明,在资源匮乏的环境下,生成式人工智能在高血压自我保健中的应用取得了一定的成功,并且具有潜在的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Healthy Heart Assistant, a WhatsApp-Based Generative Pretrained Transformer Technology, for Self-Care in Hypertensive Patients

Objective

To evaluate the feasibility, usability, and efficacy of innovative generative pretrained transformer chatbot in improving self-care in hypertensive patients in a resource-limited setting.

Patients and Methods

A single-arm nonblinded clinical trial was deployed in a busy cardiology clinic in a low-resource setting. Artificial intelligence–enabled chatbot (Healthy Heart Assistant) was activated in smartphones of 50 adults on treatment for hypertension. Participants were trained on how to use the Healthy Heart Assistant including setting medication and appointment reminders. Baseline questionnaires were administered at enrollment and 30 days later to explore acceptability, feasibility and usability of the bot. We used chatbot usability questionnaire and self-made Healthy Heart Assistant satisfaction questionnaire to assess bot usability and patients’ satisfaction, respectively. The study began on April 5, 2024, through July 15, 2024.

Results

Of 200 hypertensive clinic attendees, 70 (35%) had internet-enabled bot-compatible cell phones, of which 50 hypertensive patients were recruited to participate in the study. Among 50 participants, 2 (4%) were lost to follow-up; 19 (39.6%) were women; and 40 (83.3%) had attained tertiary level of education. Mean time of training to use bot was 5.7 minutes, with 35 (70.8%) of participants being able to use the bot within 5 minutes. The median frequency of chats for participants within the timeframe was an average of 1.5 chats/day. Chatbot usability questionnaire score was 69.5%, whereas self-made Healthy Heart Assistant satisfaction questionnaire score was 90%.

Conclusion

This proof-of-concept study shows that generative artificial intelligence can be applied with reasonable success in hypertension self-care in low-resource settings and has potential for being effective.
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来源期刊
Mayo Clinic Proceedings. Digital health
Mayo Clinic Proceedings. Digital health Medicine and Dentistry (General), Health Informatics, Public Health and Health Policy
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