Wang Alexander, Qian Zhiyu, Briggs Logan, Cole Alexander P, Reis Leonardo O, Trinh Quoc-Dien
Division of Urological Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Center for Surgery and Public Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Int J Gen Med. 2023 May 1;16:1591-1602. doi: 10.2147/IJGM.S408208. eCollection 2023.
Few reports have investigated chatbots in patient care. We aimed to assess the current applications, limitations, and challenges in the literature on chatbots employed in oncological care.
We queried the PubMed database through April 2022 and included studies that investigated the use of chatbots in different phases of oncological care. The search used five different combinations of the specific terms "chatbot", "cancer", "oncology", and "conversational agent". Inclusion criteria were chatbot use in any aspect of oncological care-prevention, patient education, treatment, and surveillance.
The initial search yielded 196 records, 21 of which met inclusion criteria. The identified chatbots mostly focused on breast and ovarian cancer (n=8), with the second most common being cervical cancer (n=3). Good patient satisfaction was reported among 14 of 21 chatbots. The most reported chatbot applications were cancer screening, prevention, risk stratification, treatment, monitoring, and management. Of 12 studies examining efficacy of care via chatbot, 9 demonstrated improvements compared to standard care.
Chatbots used for oncological care to date demonstrate high user satisfaction, and many have shown efficacy in improving patient-centered communication, accessibility to cancer-related information, and access to care. Currently, chatbots are primarily limited by the need for extensive user-testing and iterative improvement before widespread implementation.
很少有报告研究聊天机器人在患者护理中的应用。我们旨在评估肿瘤护理中使用的聊天机器人的现有应用、局限性和文献中面临的挑战。
我们查询了截至2022年4月的PubMed数据库，并纳入了研究聊天机器人在肿瘤护理不同阶段使用情况的研究。搜索使用了“聊天机器人”、“癌症”、“肿瘤学”和“对话代理”这几个特定术语的五种不同组合。纳入标准是聊天机器人在肿瘤护理的任何方面的使用——预防、患者教育、治疗和监测。
初步搜索产生了196条记录，其中21条符合纳入标准。识别出的聊天机器人大多聚焦于乳腺癌和卵巢癌（n = 8），其次最常见的是宫颈癌（n = 3）。21个聊天机器人中有14个报告了良好的患者满意度。报告最多的聊天机器人应用是癌症筛查、预防、风险分层、治疗、监测和管理。在12项通过聊天机器人检验护理效果的研究中，9项显示与标准护理相比有改善。
迄今为止，用于肿瘤护理的聊天机器人显示出较高的用户满意度，许多已证明在改善以患者为中心的沟通、获取癌症相关信息以及获得护理方面有效果。目前，聊天机器人主要受到在广泛实施之前需要进行广泛用户测试和迭代改进的限制。
