聊天机器人在乳腺癌患者支持性照护中应用的范围综述

doi:10.3761/j.issn.0254-1769.2026.13.006

摘要/Abstract

摘要：

目的对聊天机器人在乳腺癌患者支持性照护中的应用现状进行范围综述，为未来研究与临床实践提供参考。方法系统检索PubMed、Embase、Web of Science、Cochrane Library、CINAHL、中国知网、万方数据库、维普数据库和中国生物医学文献数据库，检索时限为建库至2025年12月8日，对纳入文献进行汇总和分析。结果共纳入11篇文献。其中，聊天机器人主要采用混合技术型（6项）、以纯文本交互方式（6项）为患者提供支持。干预内容聚焦信息支持（7项）、心理支持与情绪调节（3项）、症状监测与管理（3项）及生活方式指导（4项）。评价指标涵盖信息水平、心理状态、生理状态、自我管理、生活质量、满意度及可行性。结论聊天机器人在乳腺癌患者支持性照护中显示出一定应用潜力，尤其在信息支持方面具有较高的可行性，但目前仍存在干预时长缺乏统一标准、评价指标与测量工具异质性较高等问题。未来可开展更高质量的分阶段、精细化研究，积极探索聊天机器人与线下支持性照护相结合的协同实施模式，更充分地发挥聊天机器人的潜在价值。

关键词: 聊天机器人, 乳腺癌, 支持性照护, 范围综述, 循证护理学

Abstract:

Objective To conduct a scoping review of the application of chatbots in the supportive care of patients with breast cancer，providing references for future research and clinical nursing practice. Methods A comprehensive literature search was conducted in PubMed，Embase，Web of Science，the Cochrane Library，CINAHL，China National Knowledge Infrastructure（CNKI），Wanfang Data，VIP Database，and the China Biomedical Literature Database（SinoMed）from database inception to December 8，2025. Data from eligible studies were extracted and synthesized descriptively. Results A total of 11 studies were included. Among them，chatbots were mainly based on hybrid technology（n=6） and provided support to patients through text-only interaction（n=6）. The intervention content primarily focused on 4 domains：informational support（n=7），psychological support and emotional regulation （n=3），symptom monitoring and management（n=3），and lifestyle guidance（n=4）. Outcome measures primarily covered information level，physiological status，self-management，quality of life，as well as feasibility and user satisfaction. Conclusion Chatbots demonstrate promising potential in the supportive care of patients with breast cancer，particularly showing high feasibility in providing informational support. However，several challenges remain，including the lack of standardized intervention duration and substantial heterogeneity in outcome indicators and measurement instruments. Future studies should focus on higher-quality，more refined，and stage-specific research designs，and actively explore collaborative implementation models integrating chatbots with offline nursing services to better leverage their potential value.

Key words: Chatbots, Breast Neoplasms, Supportive Care, Scoping Review, Evidence-Based Nursing

张珊珊, 张梦瑶, 卢函琳, 张智华, 刘风侠. 聊天机器人在乳腺癌患者支持性照护中应用的范围综述[J]. 中华护理杂志, 2026, 61(13): 1768-1775.

ZHANG Shanshan, ZHANG Mengyao, LU Hanlin, ZHANG Zhihua, LIU Fengxia. Chatbots in supportive care for breast cancer patients：a scoping review[J]. Chinese Journal of Nursing, 2026, 61(13): 1768-1775.

图/表 2

参考文献 29

[1]	Bray F, Laversanne M, Sung H, et al. Global cancer statistics 2022:GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2024, 74(3):229-263.
[2]	Hui D, Hoge G, Bruera E. Models of supportive care in oncology[J]. Curr Opin Oncol, 2021, 33(4):259-266. DOI PMID
[3]	Lu XM, Geng WH, Liu FX, et al. Symptom clusters and sentinel symptoms in breast cancer survivors based on self-reported outcomes:a cross-sectional survey[J]. J Clin Nurs, 2025, 34(3):1072-1080. DOI URL
[4]	Miroševič Š, Prins J, Borštnar S, et al. Factors associated with a high level of unmet needs and their prevalence in the breast cancer survivors 1-5 years after post local treatment and(neo)adjuvant chemotherapy during the COVID-19:a cross-sectional study[J]. Front Psychol, 2022, 13:969918. DOI URL
[5]	Gomaa S, Posey J, Bashir B, et al. Feasibility of a text messaging-integrated and chatbot-interfaced self-management program for symptom control in patients with gastrointestinal cancer undergoing chemotherapy:pilot mixed methods study[J]. JMIR Form Res, 2023, 7:e46128. DOI URL
[6]	McTear M. Conversational AI:dialogue systems,conversational agents,and chatbots[M]. Cham: Springer International Publishing, 2021.
[7]	Suppadungsuk S, Thongprayoon C, Miao J, et al. Exploring the potential of chatbots in critical care nephrology[J]. Medicines (Basel), 2023, 10(10):58.
[8]	Wang A, Qian ZY, Briggs L, et al. The use of chatbots in oncological care:a narrative review[J]. Int J Gen Med, 2023, 16:1591-1602. DOI URL
[9]	Arksey H, O’Malley L. Scoping studies:towards a methodological framework[J]. Int J Soc Res Methodol, 2005, 8(1):19-32. DOI URL
[10]	韩露, 李金花, 陈婕君, 等. 聊天机器人生育指导在育龄期乳腺癌化疗患者中的应用效果[J]. 中国护理管理, 2025, 25(10):1567-1572.
	Han L, Li JH, Chen JJ, et al. Application effect of chatbot fertility guidance in breast cancer patients of childbearing age undergoing chemotherapy[J]. Chin Nurs Manag, 2025, 25(10):1567-1572.
[11]	Bibault JE, Chaix B, Guillemassé A, et al. A chatbot versus physicians to provide information for patients with breast cancer:blind,randomized controlled noninferiority trial[J]. J Med Internet Res, 2019, 21(11):e15787. DOI URL
[12]	Tawfik E, Ghallab E, Moustafa A. A nurse versus a chatbot-the effect of an empowerment program on chemotherapy-related side effects and the self-care behaviors of women living with breast cancer:a randomized controlled trial[J]. BMC Nurs, 2023, 22(1):102. DOI PMID
[13]	Al-Hilli Z, Noss R, Dickard J, et al. A randomized trial comparing the effectiveness of pre-test genetic counseling using an artificial intelligence automated chatbot and traditional in-person genetic counseling in women newly diagnosed with breast cancer[J]. Ann Surg Oncol, 2023, 30(10):5990-5996. DOI PMID
[14]	Lee J, Byun HK, Kim YT, et al. A study on breast cancer patient care using chatbot and video education for radiation therapy:a randomized controlled trial[J]. Int J Radiat Oncol Biol Phys, 2025, 122(1):84-92. DOI URL
[15]	Arem H, Scott R, Greenberg D, et al. Assessing breast cancer survivors’ perceptions of using voice-activated technology to address insomnia:feasibility study featuring focus groups and in-depth interviews[J]. JMIR Cancer, 2020, 6(1):e15859. DOI URL
[16]	Shaban M, Osman YM, Mohamed NA, et al. Empowering breast cancer clients through AI chatbots:transforming knowledge and attitudes for enhanced nursing care[J]. BMC Nurs, 2025, 24(1):994. DOI
[17]	Schmitz KH, Kanski B, Gordon B, et al. Technology-based supportive care for metastatic breast cancer patients[J]. Support Care Cancer, 2023, 31(7):401. DOI PMID
[18]	Leung YW, So J, Sidhu A, et al. The extent to which artificial intelligence can help fulfill metastatic breast cancer patient healthcare needs:a mixed-methods study[J]. Curr Oncol, 2025, 32(3):145. DOI URL
[19]	Chaix B, Bibault JE, Pienkowski A, et al. When chatbots meet patients:one-year prospective study of conversations between patients with breast cancer and a chatbot[J]. JMIR Cancer, 2019, 5(1):e12856. DOI URL
[20]	Caru M, Abdullah S, Qiu L, et al. Women with metastatic breast cancer don’t just follow step-count trends,they exceed them:an exploratory study[J]. Breast Cancer Res Treat, 2023, 200(2):265-270. DOI
[21]	Wrightson-Hester AR, Anderson G, Dunstan J, et al. A rule-based conversational agent for mental health and well-being in young people:formative case series during the rise of generative AI[J]. JMIR Form Res, 2025, 9:e69841. DOI URL
[22]	Moore K, Zhong SJ, He Z, et al. A comprehensive solution to retrieval-based chatbot construction[J]. Comput Speech Lang, 2024, 83:101522. DOI URL
[23]	Modi ND, Menz BD, Awaty AA, et al. Assessing the system-instruction vulnerabilities of large language models to malicious conversion into health disinformation chatbots[J]. Ann Intern Med, 2025, 178(8):1172-1180. DOI PMID
[24]	Eriksson P, Gabrielsson-Järhult F, Thorold Nylin H, et al. Patients’ experiences with using a digital platform for chat-based consultation in primary health care in Sweden:qualitative study[J]. J Med Internet Res, 2025, 27:e77478. DOI URL
[25]	Rzepka C, Berger B, Hess T. Voice assistant vs. chatbot-examining the fit between conversational agents’ interaction modalities and information search tasks[J]. Inf Syst Front, 2022, 24(3):839-856. DOI
[26]	潘宸, 杨林宁, 杨艳. 乳腺癌患者健康信息需求的研究进展[J]. 中华护理杂志, 2022, 57(20):2547-2554. DOI
	Pan C, Yang LN, Yang Y. Research progress on health information needs of breast cancer patients[J]. Chin J Nurs, 2022, 57(20):2547-2554. DOI
[27]	铁万琴, 张曦, 王永琦, 等. 乳腺癌患者化疗前后症状特征的潜在转变分析及护理对策[J]. 中华护理杂志, 2025, 60(2):193-200. DOI
	Tie WQ, Zhang X, Wang YQ, et al. Analysis of potential changes in symptom characteristics of breast cancer patients before and after chemotherapy and nursing countermeasures[J]. Chin J Nurs, 2025, 60(2):193-200. DOI
[28]	Marziliano A, Miller SM, Fleisher LG, et al. Examining the impact of a multimedia intervention on decisional conflict and psychological distress among early-stage breast cancer patients:results from a nationwide RCT[J]. Transl Behav Med, 2023, 13(10):727-735. DOI PMID
[29]	徐雪芬, 王红燕, 郭萍萍, 等. 人工智能在慢性病患者健康管理中的应用进展[J]. 中华护理杂志, 2023, 58(9):1063-1067. DOI
	Xu XF, Wang HY, Guo PP, et al. Progress in the application of artificial intelligence in chronic disease health management[J]. Chin J Nurs, 2023, 58(9):1063-1067.