Research progress on the application of “patient profile” based on big data in the field of nursing_West China Medical Journal

Authors：

QIN Yuan ¹ , TANG Yongfeng ² , YANG Dinghua ² ,  JIANG Xiaolian ³

1. West China School of Nursing, Sichuan University / General Medicine Department, West China TianFu Hospital, Sichuan University, Chengdu, Sichuan 610200, P. R. China;
2. Department of Anesthesiology, West China Hospital, Sichuan University / West China School of Nursing, Sichuan University, Chengdu, Sichuan 610041, P. R. China;
3. West China School of Nursing, Sichuan University / West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China;

Corresponding?author：

JIANG Xiaolian, Email: jiangxiaolianhl@163.com

Keywords：

Patient profile; big data; nursing

DOI：

10.7507/1002-0179.202410248

Video：

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“Patient profile” is a specific application of user profile technology in the field of healthcare. As an emerging means of integrating health information, it provides personalized and precise health management for patients by analyzing multidimensional health data, improving health management effectiveness, reducing medical costs, and increasing their satisfaction and participation. It has broad application prospects in the field of nursing, but the current research status of its application in the field of nursing is not clear. This article reviews the application progress of patient profile based on big data in the field of nursing at home and abroad, systematically analyzes its construction methods, application scenarios, implementation effects and challenges, and puts forward relevant suggestions, aiming to provide references for the precise and intelligent development of nursing services.

Citation： QIN Yuan, TANG Yongfeng, YANG Dinghua, JIANG Xiaolian. Research progress on the application of “patient profile” based on big data in the field of nursing. West China Medical Journal, 2025, 40(8): 1351-1355. doi: 10.7507/1002-0179.202410248 Copy

1.	劉樂洋, 劉維維. 用戶畫像在衛生健康領域應用中的研究進展. 中國健康教育, 2023, 39(9): 826-831.
2.	李一男, 胡婷, 王婧婷. 基于大數據的“用戶畫像”在患者體驗提升中的應用現狀與前景展望. 中國護理管理, 2020, 20(5): 776-779.
3.	孟軍. 促進健康醫療大數據應用保障“健康中國 2030”建設. 中國衛生信息管理雜志, 2016, 13(6): 539-539.
4.	Kuziemsky CE, Monkman H, Petersen C, et al. Big data in healthcare - defining the digital persona through user contexts from the micro to the macro. Contribution of the imia organizational and social issues WG. Yearb Med Inform, 2014, 9(1): 82-89.
5.	賈倩文, 蔡蕊屹, 柴春雷, 等. 數智技術驅動的服務設計研究綜述. 包裝工程, 2024, 45(16): 80-90.
6.	馬彥秋子, 付亦安, 蔣煒. 基于患者用戶畫像建模的基本公共衛生服務現狀質性分析. 中國公共衛生管理, 2024, 40(3): 391-394.
7.	LeRouge C, Ma J, Sneha S, et al. User profiles and personas in the design and development of consumer health technologies. Int J Med Inform, 2013, 82(11): e251-e268.
8.	王佳琪, 王一焱, 李滬生, 等. 用戶畫像技術在心血管疾病健康管理的應用現狀. 中國慢性病預防與控制, 2022, 30(11): 868-872.
9.	Marshall R, Cook S, Mitchell V, et al. Design and evaluation: end users, user datasets and personas. Appl Ergon, 2015, 46: 311-317.
10.	Huh J, Kwon BC, Kim SH, et al. Personas in online health communities. J Biomed Inform, 2016, 63: 212-225.
11.	Serio CD, Hessing J, Reed B, et al. The effect of online chronic disease personas on activation: within-subjects and between-groups analyses. JMIR Res Protoc, 2015, 4(1): e20.
12.	劉安達, 李凱, 周穎玉, 等. 移動圖書館用戶畫像數據獲取與隱私保護平衡機制研究. 圖書館工作與研究, 2024(6): 13-20.
13.	鞠沁怡, 林哲涵, 陳建平, 等. 大數據時代構建“患者畫像”的機遇與挑戰. 江蘇衛生事業管理, 2021, 32(9): 1140-1142.
14.	孫瑩. 國際數字醫學的研究熱點與前沿進展. 中國組織工程研究, 2024, 29(13): 2639.
15.	潘劉慶. 基于大數據下糾紛患者畫像構建對醫院安全管理的意義. 中國衛生標準管理, 2024, 15(14): 1-4.
16.	段甲存. 基于用戶畫像的在線健康社區老年用戶精準推薦服務研究. 哈爾濱: 黑龍江大學, 2023.
17.	殷允杰, 朱媛媛. 智能推薦情境下老年在線健康社區的用戶信息需求模型構建及其應用研究. 情報科學, 2023, 41(8): 155-161.
18.	章馬蘭, 張涵慈, 李濤, 等. 康復科住院患者國際功能、殘疾和健康分類康復組合功能畫像的聚類分析研究. 中國康復醫學雜志, 2025, 40(2): 188-195.
19.	Zhang B, Li Y. A user profile of tendering and bidding corruption in the construction industry based on SOM clustering: a case study of China. Buildings (Basel), 2022, 12(12): 2103.
20.	Yang X, Zhang C, Li Y, et al. Dynamic user profile construction and its application to smart product-service system design: a maternity-oriented case study. Expert Syst Appl, 2024, 249(4): 123772.
21.	Li Y, Liu C, Hu X, et al. IGA-SOMK++: a new clustering method for constructing web user profiles of older adults in China. Appl Intell, 2024, 54(8): 1-31.
22.	Liu X, Xu Y, Yang X. Disease profiling in pharmaceutical E-commerce. Expert Syst Appl, 2021, 178(21): 115015.
23.	常冬春, 張茹, 管晴, 等. 健康畫像在慢性病管理中的應用研究進展. 南京醫科大學學報(社會科學版), 2023, 23(6): 546-550.
24.	蔡明成, 范守城, 楊艷, 等. 用戶畫像技術及其在科技特派員服務領域的應用研究進展. 南方農業, 2022, 16(11): 156-159.
25.	Haldane V, Koh JJK, Srivastava A, et al. User preferences and persona design for an mhealth intervention to support adherence to cardiovascular disease medication in singapore: a multi-method study. JMIR Mhealth Uhealth, 2019, 7(5): e10465.
26.	Gentile M, De Luca V, Patalano R, et al. Innovative approaches to service integration addressing the unmet needs of irritable bowel syndrome patients and new approaches for the needs of IBS patients. Front Med (Lausanne), 2022, 9: 998838.
27.	李心鈺, 張男, 宋美璇, 等. 化療期乳腺癌患者體質量管理的用戶畫像研究. 護理學雜志, 2022, 37(18): 33-36.
28.	蔣璐璐, 王喜益, 胡韻. 基于用戶畫像的年輕乳腺癌生存者綜合需求的調查研究. 解放軍護理雜志, 2022, 39(6): 26-30.
29.	徐婷婷, 張元紅, 李桂英, 等. 畫像式患者跌倒風險評估表的設計與應用. 護理學雜志, 2023, 38(12): 56-59.
30.	劉風景, 張廣意, 米光麗, 等. 妊娠期婦女體質量自我管理的定性用戶畫像研究. 護理學雜志, 2023, 38(16): 23-27.
31.	Xu Z, Gu Y, Xu X, et al. Developing a personalized meal recommendation system for chinese older adults: observational cohort study. JMIR Form Res, 2024, 8: e52170.
32.	Larkin C, Djamasbi S, Boudreaux ED, et al. ReachCare mobile Apps for patients experiencing suicidality in the emergency department: development and usability testing using mixed methods. JMIR Form Res, 2023, 7: e41422.
33.	Reimer LM, Nissen L, von Scheidt M, et al. User-centered development of an mHealth App for cardiovascular prevention. Digit Health, 2024, 10: 20552076241249269.
34.	Li S, Tang Y. A simple framework of smart geriatric nursing considering health big data and user profile. Comput Math Methods Med, 2020, 2020: 5013249.
35.	Tan X, He Y, Hua N, et al. Study protocol of an App-based prevention program for perinatal depression. Int J Environ Res Public Health, 2022, 19(18): 11634.
36.	Donald M, Beanlands H, Straus S, et al. Preferences for a self-management e-health tool for patients with chronic kidney disease: results of a patient-oriented consensus workshop. CMAJ Open, 2019, 7(4): E713-E720.
37.	周銳, 黃靜, 范嘉祺. 突發公共衛生事件大數據畫像構建研究. 電子政務, 2020(6): 12-20.

1. 劉樂洋, 劉維維. 用戶畫像在衛生健康領域應用中的研究進展. 中國健康教育, 2023, 39(9): 826-831.
2. 李一男, 胡婷, 王婧婷. 基于大數據的“用戶畫像”在患者體驗提升中的應用現狀與前景展望. 中國護理管理, 2020, 20(5): 776-779.
3. 孟軍. 促進健康醫療大數據應用保障“健康中國 2030”建設. 中國衛生信息管理雜志, 2016, 13(6): 539-539.
4. Kuziemsky CE, Monkman H, Petersen C, et al. Big data in healthcare - defining the digital persona through user contexts from the micro to the macro. Contribution of the imia organizational and social issues WG. Yearb Med Inform, 2014, 9(1): 82-89.
5. 賈倩文, 蔡蕊屹, 柴春雷, 等. 數智技術驅動的服務設計研究綜述. 包裝工程, 2024, 45(16): 80-90.
6. 馬彥秋子, 付亦安, 蔣煒. 基于患者用戶畫像建模的基本公共衛生服務現狀質性分析. 中國公共衛生管理, 2024, 40(3): 391-394.
7. LeRouge C, Ma J, Sneha S, et al. User profiles and personas in the design and development of consumer health technologies. Int J Med Inform, 2013, 82(11): e251-e268.
8. 王佳琪, 王一焱, 李滬生, 等. 用戶畫像技術在心血管疾病健康管理的應用現狀. 中國慢性病預防與控制, 2022, 30(11): 868-872.
9. Marshall R, Cook S, Mitchell V, et al. Design and evaluation: end users, user datasets and personas. Appl Ergon, 2015, 46: 311-317.
10. Huh J, Kwon BC, Kim SH, et al. Personas in online health communities. J Biomed Inform, 2016, 63: 212-225.
11. Serio CD, Hessing J, Reed B, et al. The effect of online chronic disease personas on activation: within-subjects and between-groups analyses. JMIR Res Protoc, 2015, 4(1): e20.
12. 劉安達, 李凱, 周穎玉, 等. 移動圖書館用戶畫像數據獲取與隱私保護平衡機制研究. 圖書館工作與研究, 2024(6): 13-20.
13. 鞠沁怡, 林哲涵, 陳建平, 等. 大數據時代構建“患者畫像”的機遇與挑戰. 江蘇衛生事業管理, 2021, 32(9): 1140-1142.
14. 孫瑩. 國際數字醫學的研究熱點與前沿進展. 中國組織工程研究, 2024, 29(13): 2639.
15. 潘劉慶. 基于大數據下糾紛患者畫像構建對醫院安全管理的意義. 中國衛生標準管理, 2024, 15(14): 1-4.
16. 段甲存. 基于用戶畫像的在線健康社區老年用戶精準推薦服務研究. 哈爾濱: 黑龍江大學, 2023.
17. 殷允杰, 朱媛媛. 智能推薦情境下老年在線健康社區的用戶信息需求模型構建及其應用研究. 情報科學, 2023, 41(8): 155-161.
18. 章馬蘭, 張涵慈, 李濤, 等. 康復科住院患者國際功能、殘疾和健康分類康復組合功能畫像的聚類分析研究. 中國康復醫學雜志, 2025, 40(2): 188-195.
19. Zhang B, Li Y. A user profile of tendering and bidding corruption in the construction industry based on SOM clustering: a case study of China. Buildings (Basel), 2022, 12(12): 2103.
20. Yang X, Zhang C, Li Y, et al. Dynamic user profile construction and its application to smart product-service system design: a maternity-oriented case study. Expert Syst Appl, 2024, 249(4): 123772.
21. Li Y, Liu C, Hu X, et al. IGA-SOMK++: a new clustering method for constructing web user profiles of older adults in China. Appl Intell, 2024, 54(8): 1-31.
22. Liu X, Xu Y, Yang X. Disease profiling in pharmaceutical E-commerce. Expert Syst Appl, 2021, 178(21): 115015.
23. 常冬春, 張茹, 管晴, 等. 健康畫像在慢性病管理中的應用研究進展. 南京醫科大學學報(社會科學版), 2023, 23(6): 546-550.
24. 蔡明成, 范守城, 楊艷, 等. 用戶畫像技術及其在科技特派員服務領域的應用研究進展. 南方農業, 2022, 16(11): 156-159.
25. Haldane V, Koh JJK, Srivastava A, et al. User preferences and persona design for an mhealth intervention to support adherence to cardiovascular disease medication in singapore: a multi-method study. JMIR Mhealth Uhealth, 2019, 7(5): e10465.
26. Gentile M, De Luca V, Patalano R, et al. Innovative approaches to service integration addressing the unmet needs of irritable bowel syndrome patients and new approaches for the needs of IBS patients. Front Med (Lausanne), 2022, 9: 998838.
27. 李心鈺, 張男, 宋美璇, 等. 化療期乳腺癌患者體質量管理的用戶畫像研究. 護理學雜志, 2022, 37(18): 33-36.
28. 蔣璐璐, 王喜益, 胡韻. 基于用戶畫像的年輕乳腺癌生存者綜合需求的調查研究. 解放軍護理雜志, 2022, 39(6): 26-30.
29. 徐婷婷, 張元紅, 李桂英, 等. 畫像式患者跌倒風險評估表的設計與應用. 護理學雜志, 2023, 38(12): 56-59.
30. 劉風景, 張廣意, 米光麗, 等. 妊娠期婦女體質量自我管理的定性用戶畫像研究. 護理學雜志, 2023, 38(16): 23-27.
31. Xu Z, Gu Y, Xu X, et al. Developing a personalized meal recommendation system for chinese older adults: observational cohort study. JMIR Form Res, 2024, 8: e52170.
32. Larkin C, Djamasbi S, Boudreaux ED, et al. ReachCare mobile Apps for patients experiencing suicidality in the emergency department: development and usability testing using mixed methods. JMIR Form Res, 2023, 7: e41422.
33. Reimer LM, Nissen L, von Scheidt M, et al. User-centered development of an mHealth App for cardiovascular prevention. Digit Health, 2024, 10: 20552076241249269.
34. Li S, Tang Y. A simple framework of smart geriatric nursing considering health big data and user profile. Comput Math Methods Med, 2020, 2020: 5013249.
35. Tan X, He Y, Hua N, et al. Study protocol of an App-based prevention program for perinatal depression. Int J Environ Res Public Health, 2022, 19(18): 11634.
36. Donald M, Beanlands H, Straus S, et al. Preferences for a self-management e-health tool for patients with chronic kidney disease: results of a patient-oriented consensus workshop. CMAJ Open, 2019, 7(4): E713-E720.
37. 周銳, 黃靜, 范嘉祺. 突發公共衛生事件大數據畫像構建研究. 電子政務, 2020(6): 12-20.

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Research progress on the application of “patient profile” based on big data in the field of nursing

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