Chinese Journal of Emergency and Critical Care Nursing >
Research progress on intelligent monitoring and risk warning of patient-generated health data in critically ill patients
Received date: 2025-03-16
Online published: 2026-01-06
Supported by
Hunan Natural Science Foundation-Distinguished Young Scholars(2022JJ10098)
Patient-generated health data(PGHD) play a central role in the early detection and risk warning of critically ill patients. Traditional monitoring technologies,however,are limited by narrow indicator scope and unstable measurement accuracy,making them insufficient to meet the complex,dynamic,and multidimensional needs of critical care monitoring. Nursing-related innovative materials,owing to their high sensitivity,wearability,and smart responsiveness,offer a novel approach for continuous data acquisition and real-time analysis of PGHD. This review summarizes recent advances in the application of such materials for perioperative critical monitoring,acute exacerbation detection in chronic disease,and early warning in oncologic emergencies. We focus on their contributions to monitoring precision and sensitivity,and the mechanisms by which they synergize with digital technologies. We also assess real-world challenges regarding clinical adaptability,translation of multisource data into actionable value,and protection of patients’ data sovereignty. Finally,we explore a new paradigm for transforming nursing-related innovative materials from passive response toward intelligent early warning,providing a reference for future research on the precision and intelligence of critical care nursing monitoring.
ZHOU Yi , ZHANG Xiaohong , DUAN Yinglong , ZHANG Wenxiu , SHEN Zhiying , DONG Xiao-qian , XIE Jianfei . Research progress on intelligent monitoring and risk warning of patient-generated health data in critically ill patients[J]. Chinese Journal of Emergency and Critical Care Nursing, 2026 , 7(1) : 111 -115 . DOI: 10.3761/j.issn.2096-7446.2026.01.018
| [1] | Winter JS, Davidson E. Harmonizing regulatory regimes for the governance of patient-generated health data[J]. Telecommun Po-licy, 2022, 46(5):102285. |
| [2] | 国务院办公厅. 国务院办公厅关于发展银发经济增进老年人福祉的意见[EB/OL].(2024-01-15)[2025-03-16]. https://www.gov.cn/zhengce/content/202401/content_6926087.htm. . |
| General Office of the State Council of the People’s Republic of China. Opinions on the development of the silver economy and the promotion of elderly well-being[EB/OL].(2024-01-15)[2025-03-16]. https://www.gov.cn/zhengce/content/202401/content_6926087.htm. | |
| [3] | Fu MR, Kurnat-Thoma E, Starkweather A, et al. Precision heal-th:a nursing perspective[J]. Int J Nurs Sci, 2019, 7(1):5-12. |
| [4] | CECCONI M, HUTANU AL, BEARD J. Unlocking opportunities to transform patient care:an expert insight on limitations and opportunities in patient monitoring[J]. Intensive Care Med Exp, 2025, 13(1):24. |
| [5] | 师昌绪. 关于构建我国“新材料产业体系”的思考[J]. 工程研究, 2013, 5(1):5-11. |
| Shi CX. Reflections on the construction of China’s “new material industry system”[J]. J Eng Stud, 2013, 5(1):5-11. | |
| [6] | 赵鸿滨, 周旗钢, 李志辉, 等. 面向新兴产业和未来产业的新材料发展战略研究[J]. 中国工程科学, 2024, 26(1):23-34. |
| Zhao HB, Zhou QG, Li ZH, et al. Development strategies of new materials for emerging industries and future industries[J]. Strateg Study CAE, 2024, 26(1):23-34. | |
| [7] | Yang YR, Gao W. Wearable and flexible electronics for conti-nuous molecular monitoring[J]. Chem Soc Rev, 2019, 48(6):1465-1491. |
| [8] | Shin J, Liu ZH, Bai WB, et al. Bioresorbable optical sensor systems for monitoring of intracranial pressure and temperature[J]. Sci Adv, 2019, 5(7):eaaw1899. |
| [9] | Coyle S, Wu YZ, Lau KT, et al. Smart nanotextiles:a review of materials and applications[J]. MRS Bull, 2007, 32(5):434-442. |
| [10] | Mitchell MJ, Billingsley MM, Haley RM, et al. Engineering pre-cision nanoparticles for drug delivery[J]. Nat Rev Drug Discov, 2021, 20:101-124. |
| [11] | Boutry CM, Beker L, Kaizawa Y, et al. Biodegradable and fle-xible arterial-pulse sensor for the wireless monitoring of blood flow[J]. Nat Biomed Eng, 2019, 3(1):47-57. |
| [12] | Ansó J, Scheidegger O, Wimmer W, et al. Neuromonitoring during robotic cochlear implantation:initial clinical experience[J]. Ann Biomed Eng, 2018, 46(10):1568-1581. |
| [13] | Yang Y, Wei X, Zhang N. A non-printed integrated-circuit tex-tile for wireless theranostics[J]. Nat Commun, 2021, 12(1):4876. |
| [14] | Koenig A, Petitdidier N, Grateau H, et al. Contact, high-resolu-tion spatial diffuse reflectance imaging system for skin condi-tion diagnosis:a first-in-human clinical trial[J]. J Biomed Opt, 2021, 26(1):012706. |
| [15] | Semjonova G, Vetra J, Cauce V, et al. Improving the recovery of patients with subacromial pain syndrome with the DAid smart textile shirt[J]. Sensors, 2020, 20(18):5277. |
| [16] | Yang SX, Chen YC, Nicolini L, et al. “Cut-and-paste” manu-facture of multiparametric epidermal sensor systems[J]. Adv Mater, 2015, 27(41):6423-6430. |
| [17] | Dagdeviren C, Su YW, Joe P, et al. Conformable amplified lead zirconate titanate sensors with enhanced piezoelectric response for cutaneous pressure monitoring[J]. Nat Commun, 2014, 5:4496. |
| [18] | Yao HC, Yang WD, Cheng W, et al. Near-hysteresis-free soft tac-tile electronic skins for wearables and reliable machine learn-ing[J]. Proc Natl Acad Sci USA, 2020, 117(41):25352-25359. |
| [19] | Lee H, Hong YJ, Baik S, et al. Enzyme-based glucose sensor:from invasive to wearable device[J]. Adv Healthc Mater, 2018, 7(8):e1701150. |
| [20] | Karlsen H, Dong T, Suo ZH. A diaper pad for diaper-based urine collection and colorimetric screening of urinary biomarkers[J]. Ann Biomed Eng, 2018, 46(5):717-725. |
| [21] | Sakai K, Sanada H, Matsui N, et al. Continuous monitoring of interface pressure distribution in intensive care patients for pressure ulcer prevention[J]. J Adv Nurs, 2009, 65(4):809-817. |
| [22] | Qian S, Xu RY. Environmentally friendly synthesis of gelatin hydrogel nanoparticles for gastric cancer treatment,bisphenol A sensing and nursing applications:Fabrication,characteriza-tion and ANN modeling[J]. Heliyon, 2024, 10(23):e38834. |
| [23] | 王心怡. 唾液生化标志物高灵敏检测的纳米光学传感器及疾病快速筛查研究[D]. 杭州: 浙江大学, 2023. |
| Wang XY. Nano-optical sensors for highly sensitive detection of salivary biochemical markers and rapid disease screening[D]. Hangzhou: Zhejiang University, 2023. | |
| [24] | Wu CT, Chang HT, Wu CY, et al. Machine learning recom-mends affordable new Ti alloy with bone-like modulus[J]. Mater Today, 2020, 34:41-50. |
| [25] | Lapage L, Foulon S, Poels P, et al. Is it feasible to outsource the remote monitoring of implantable cardiac defibrillators in a large tertiary hospital?[J]. Acta Cardiol, 2023, 78(6):687-698. |
| [26] | Hardiker NR, Sermeus W, Jansen K. Challenges associated with the secondary use of nursing data[J]. Stud Health Technol In-form, 2014, 201:290-297. |
| [27] | 刘梦媛, 田凌云, 蒋敬, 等. 护士在跨专业合作中伦理冲突的范围综述[J]. 中华护理杂志, 2024, 59(9):1138-1145. |
| Liu MY, Tian LY, Jiang J, et al. Ethical conflicts in interpro-fessional collaboration among nurses:a scoping review[J]. Chin J Nurs, 2024, 59(9):1138-1145. |
/
| 〈 |
|
〉 |