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Improving Large Language Model Applications in the Medical and Nursing Domains With Retrieval-Augmented Generation: Scoping Review

Improving Large Language Model Applications in the Medical and Nursing Domains With Retrieval-Augmented Generation: Scoping Review

Crucially, a gap was identified in nursing-focused research. Of the 67 included studies, only 4 (6%) [27,64,76,81] were specifically designed for nursing-related applications, and their scope was limited to question-answering tasks. The distribution of the RAG tasks and their corresponding percentages are shown in Figure 3. Distribution of application tasks in medical and nursing fields using retrieval-augmented generation.

Yiqun Miao, Yuhan Zhao, Yuan Luo, Huiying Wang, Ying Wu

J Med Internet Res 2025;27:e80557


Revolutionizing Hypoglycemia Management in Long-Term Care: Lessons Learned From a Pilot Quality Improvement Initiative Using Continuous Glucose Monitoring

Revolutionizing Hypoglycemia Management in Long-Term Care: Lessons Learned From a Pilot Quality Improvement Initiative Using Continuous Glucose Monitoring

Nursing workload associated with fingerstick testing was assessed using the aggregate findings of the self-reported estimates of time taken to complete glucose monitoring (including the time taken to access the resident’s record, approach the resident, perform the scan, and record the data) in an anonymous paper-based survey of nursing staff, completed during mandatory staff meetings.

Denis O'Donnell, Sue Burns, Shirley Drever, Lisa Quesnelle, Benjamin Yuen

JMIR Diabetes 2025;10:e73485


Aggregating Patient Safety and Status Information in the Electronic Health Record to Support Time-Sensitive Mobility Interventions in the Intensive Care Unit: Protocol for the Design and Testing of a Clinical Decision Support Tool

Aggregating Patient Safety and Status Information in the Electronic Health Record to Support Time-Sensitive Mobility Interventions in the Intensive Care Unit: Protocol for the Design and Testing of a Clinical Decision Support Tool

Functional decline is associated with negative outcomes during and after hospitalization, including ICU readmission, prolonged hospitalization, hospital readmission, nursing home admission, inability to return to work, and death [5-8]. These significant and long-term patient consequences demonstrate an urgent need to mitigate hospital-acquired functional decline.

Anna Krupp, Heather Dunn, Lindsey Knake, Patrick Ten Eyck, Laura Frey-Law, Karen Dunn Lopez

JMIR Res Protoc 2025;14:e75752


Nursing Minimum Datasets in Long-Term Care Settings: Scoping Review

Nursing Minimum Datasets in Long-Term Care Settings: Scoping Review

The development and introduction of NMDSs involves several objectives, including the comparison of nursing data across clinical populations, settings, geographic areas, and time; the description of the nursing care of clients and their families; the demonstration of trends regarding nursing care; the promotion of nursing research; and the provision of data about nursing care to influence and facilitate health policy decision-making [1].

Sarah Milkov, Lara Linders, Alina Napetschnig, Wolfgang Deiters, Erika Sirsch, Daniela Holle

J Med Internet Res 2025;27:e68670


Understanding the Role of Clinical Decision Support Systems Among Hospital Nurses Using the FITT (Fit Between Individuals, Tasks, and Technology) Framework: Qualitative Study

Understanding the Role of Clinical Decision Support Systems Among Hospital Nurses Using the FITT (Fit Between Individuals, Tasks, and Technology) Framework: Qualitative Study

Compared to behavioral models such as the Unified Theory of Acceptance and Use of Technology (UTAUT), FITT places greater emphasis on the practical interaction between people, systems, and work processes, making it especially relevant for exploring the nursing context [10,15]. The disconnect between the theoretical advantages of CDSSs and their real-world application in nursing highlights the urgent need to address these challenges [16].

Matthijs Berkhout, Koen Smit, Danielle Sent, Rob Kusters, Johan Versendaal, Thijs van Houwelingen

J Med Internet Res 2025;27:e76025


Interdisciplinary Development and Fine-Tuning of CARDIO, a Large Language Model for Cardiovascular Health Education in HIV Care: Tutorial

Interdisciplinary Development and Fine-Tuning of CARDIO, a Large Language Model for Cardiovascular Health Education in HIV Care: Tutorial

In nursing, AI can include decision-making tools, educational study materials, patient chatbots, electronic health record notifications, and more [2,5,6]. While AI could enhance nursing practice, it is not without risks. Ethical concerns regarding AI in health care highlight risks in the development, reliability, integration, and confidentiality of these models [3-8]. For 23 consecutive years, nursing has been ranked as the most ethical and honest profession in the United States [9].

Ryan Rullo, Ali Maatouk, Tinglin Huang, Jialin Chen, Weikang Qiu, Giselle O'Connor, Julie Womack, Tatiana Sadak, Christine Rodriguez, Pedro Carneiro, Tania de Jesus Espinosa, Ami Marshall, Rex Ying, S Raquel Ramos

J Med Internet Res 2025;27:e77053


Application of Digital Tools in the Care of Patients With Diabetes: Scoping Review

Application of Digital Tools in the Care of Patients With Diabetes: Scoping Review

Subsequently, the National Health Commission of China issued the National Nursing Development Plan (2021‐2025) in 2022, highlighting the critical role of nursing informatization and advocating for high-quality nursing development and systemic enhancements [8]. Nursing informatization is key to improving care quality and efficiency.

Yan Yan, Na Li, Chun Tian

J Med Internet Res 2025;27:e72167


The Requirements and Development Potential of Interdisciplinary Digital Health Data Exchange in Mobile Nursing and Care Settings in German-Speaking Countries: Delphi Study

The Requirements and Development Potential of Interdisciplinary Digital Health Data Exchange in Mobile Nursing and Care Settings in German-Speaking Countries: Delphi Study

Therefore, data should not stand still but flow through the veins of nursing in all settings, regardless of national borders. The exchange of nursing data faces major challenges due to the limited interoperability of electronic systems. Incompatible technical infrastructure, lack of standardized nursing classifications, and insufficient integration of nursing-specific content hinder effective data sharing [1,13,14].

Verena Kollmann, Nathalie Traugott, Susanne Hensely-Schinkinger, Doris Zeidler, Elisabeth Haslinger-Baumann

J Med Internet Res 2025;27:e78193


Games to Improve the Clinical Skills of Nursing Students: Systematic Review of Current Evidence

Games to Improve the Clinical Skills of Nursing Students: Systematic Review of Current Evidence

This systematic review aims to identify studies on educational games in nursing education that enhance students’ skills, summarize their impacts on learning outcomes, and explore the concept of game-based learning in nursing. In this study, the authors systematically searched the 4 public databases to investigate the role of educational games in improving the clinical skills of nursing students.

Soleiman Ahmady, Hanieh Zehtab Hashemi, Arghavan Afra, Niloofar Attarian, Amir Tabari, Fariba Shabani, Ayoob Molla, Esmaeil Mehraeen

Asian Pac Isl Nurs J 2025;9:e70737