Persson Vera, Lovén Wickman Ulrica
Department of Region Halland, 301 80 Halmstad, Sweden.
Department of Health and Caring Sciences, Linnaeus University, 391 82 Kalmar, Sweden.
Healthcare (Basel). 2025 Apr 21;13(8):950. doi: 10.3390/healthcare13080950.
: Diabetes is a common public health disease that affects patients mentally, physically, and economically. It requires lifestyle changes such as blood sugar control and regular contact with healthcare services. Artificial intelligence has developed rapidly in many different areas in recent years, including healthcare and nursing. The aim of this study is to explore how artificial intelligence can be used as a tool for patients with diabetes mellitus. : An integrative literature review design was chosen according to Whittemore and Knafl (2005). Electronic searches in databases were conducted across Pub-Med, CINAHL Complete (EBSCO), and ACM Digital Library until September 2024. A total set of quantitative and qualitative articles (n = 15) was selected and reviewed using a Mixed Method Appraisal Tool. : Artificial intelligence is an effective tool for patients with diabetes mellitus, and various models are used. Three themes emerged: artificial intelligence as a tool for blood sugar monitoring for patients with diabetes mellitus, artificial intelligence as a decision support for diabetic wounds and complications, and patients' requests for artificial intelligence capabilities in relation to tools. Artificial intelligence can create better conditions for patient self-care. : Artificial intelligence is a valuable tool for patients with diabetes mellitus and enables the district nurse to focus more on person-centered care. The technology facilitates the patient's blood sugar monitoring. However, more research is needed to ensure the safety of AI technology, the protection of patient privacy, and clarification of laws and regulations within diabetes care.
糖尿病是一种常见的公共卫生疾病，会在心理、身体和经济方面影响患者。它需要改变生活方式，如控制血糖和定期与医疗服务机构联系。近年来，人工智能在包括医疗保健和护理在内的许多不同领域都得到了迅速发展。本研究的目的是探索如何将人工智能用作糖尿病患者的一种工具。
根据惠特莫尔和克纳夫（2005年）的研究，选择了综合文献综述设计。在截至2024年9月的时间段内，通过PubMed、CINAHL Complete（EBSCO）和ACM数字图书馆对数据库进行了电子检索。使用混合方法评估工具选择并审查了一组定量和定性文章（n = 15）。
人工智能是糖尿病患者的一种有效工具，并且使用了各种模型。出现了三个主题：人工智能作为糖尿病患者血糖监测的工具、人工智能作为糖尿病伤口和并发症的决策支持，以及患者对与工具相关的人工智能功能的要求。人工智能可以为患者自我护理创造更好的条件。
人工智能是糖尿病患者的一种有价值的工具，能使社区护士更专注于以患者为中心的护理。该技术便于患者进行血糖监测。然而，需要更多的研究来确保人工智能技术的安全性、保护患者隐私以及明确糖尿病护理中的法律法规。
