Abstract
Each year, nursing informatics researchers contribute to nursing and health informatics knowledge. The year 2024 emerged as yet another year of significant advances. In this editorial, I describe and highlight some of the key trends in nursing informatics research as published in JMIR Nursing in 2024. Artificial intelligence (AI), data science, mobile health (mHealth), and the integration of technology into nursing education and practice remain key research themes in the literature. Nursing informatics publications continue to grow in number. A greater number of AI and data science articles are being published, while at the same time, mHealth and technology research continues to be conducted in nursing education and practice contexts.
JMIR Nursing 2025;8:e74345doi:10.2196/74345
Keywords
Introduction
The year 2024 proved to be a revolutionary year for nursing informatics and JMIR Nursing. Nurses, technology practitioners, and researchers who design, develop, and implement technologies used by nurses and nursing informatics specialists are moving forward in the field of study we know as nursing informatics. In 2024, we saw nursing informatics researchers focus on several key areas, namely artificial intelligence (AI), data science, and mobile health (mHealth), as well as integrating technologies into nursing practice and education. In this year’s year-in-review editorial, I describe and highlight some of the key nursing informatics research themes published in JMIR Nursing and review 2024’s published articles, using a thematic approach []. Findings from the review of the articles revealed many trends that I describe in more detail below.
Artificial Intelligence
Over the past year, several articles were published that assessed the current state of the science of AI in nursing; the design of AI algorithms; and the effectiveness of AI’s implementation in nursing contexts, such as hospital, community, and long-term care settings. Researchers have investigated the implications of applying AI to lifestyle monitoring in long-term care [], detecting behavioral disorders [], identifying depression [], patient monitoring (eg, movement monitoring for continence care, sleep, and chronic conditions) [], and supporting nurses’ decision-making []. AI-supported technologies, such as robots [] and chatbots [], have also been studied and evaluated for their use by nurses in varying care contexts. Other researchers have begun the process of examining AI’s integration into nursing education. Here, there has been an impetus to identify what is important and how to effectively integrate these technologies into nursing education [].
Data Science
Data science emerged as a key theme in the nursing informatics research. The development of data models and the analysis of nurse-generated data were considered by researchers as key to supporting nurses’ decision-making in hospital [], long-term care [], and community settings []. This nursing informatics research aimed to conceptualize and develop electronic health record data models for nurses []. Researchers used data-centric approaches to understand and improve nursing workload measures, understand nurses’ and patients’ sentiments regarding COVID-19 [], collect and present data used in the remote monitoring of patients with COVID-19 [], and identify patient resources []. This research led to new findings that focused on optimizing nursing practice [-].
Ethics and Privacy
Key research areas of concern for nurses who use AI and data science–centric approaches included ethical [] and privacy considerations [] associated with using technology. Software testing remained an important aspect of nursing informatics practice to ensure the quality and safety of technologies used in health care [].
Nursing Education
Nursing education remained an important theme in the literature [,]. The influence of AI on nursing education reflected the need for nurse educators and educational researchers to understand the impacts of these technologies upon nursing education []. The role of digital tools and their integration into undergraduate and graduate nursing education were explored []. Digital tools used by practicing nurses were studied by researchers [,,]. Here, nurses’ use of multimedia tools to support patient education in cardiac care was a research highlight that emerged [], and we saw an increase in the number of papers that focused on virtual care in the context of nursing education [,].
mHealth Apps, Tablets, and the Internet
The development of mHealth apps for patients and nurses remained strong [,]. Peterson and colleagues [] studied the effects of a gratitude exercise mindfulness app on neonatal intensive care nurses. Shiyab et al [] examined nurses’ use of mHealth apps for chronic conditions. Togo et al [] investigated the effects of mindful breathing using a tablet on nervous system function and sleep. Nurses continued to study mobile apps, software, and devices to determine their influence on patient and nursing outcomes [,,,,]. Nurse researchers continued to spearhead mHealth app design and improvements in design, with the aim of improving outcomes. Lastly, nurses evaluated new approaches to finding services on the World Wide Web [].
In summary, nursing informatics research in 2024 extended our knowledge in the areas of AI and data science. Mobile apps, tablet use, the use of the internet, the integration of nursing informatics into nursing education, and the design of digital tools for nurses and patients continue to be important areas of research.
Future Research Directions
Nursing informatics research in 2024 advanced in several key areas, including research on the design and use of mobile devices (eg, mHealth tools and tablets) and software apps in the context of nursing practice, education, and administration. In addition to this, several advances in the design and development of data analytics and AI algorithms by nurses have emerged to support and enhance nursing practice. Of importance is the need to study how these technologies can effectively and safely be integrated for use by nurses in acute care, long-term care, and home care settings. Future research will need to focus on how technologies are implemented and incorporated into nurses’ work and patient care, so that there is a strong cognitive-sociotechnical fit between nurse information processing activities, the physical work of nurses, the technologies that are used by nurses, and the patients they care for [,,]. To address these emerging issues in nursing informatics, there is a need to expand funding at the intersection of nursing informatics and AI, data analytics, and mHealth, and research funding extensions need to be made for understanding how these critical new technologies can be added to nursing education and practice [].
JMIR Highlights
JMIR Nursing also advanced in 2024. JMIR Nursing is now indexed in MEDLINE, PubMed, PubMed Central, Directory of Open Access Journals (DOAJ), Scopus, Sherpa Romeo, CINAHL, and the International Academy of Nursing Editors (INANE) directory of nursing journals. More importantly, in 2024, JMIR Nursing’s CiteScore rose to 5.2, placing the journal in the 88th percentile. JMIR Nursing is now a Q1 journal for general nursing.
Conclusion
The focus on nursing informatics and emerging technology trends in the field of nursing is proving that technology’s influence upon nursing practice is growing and needs continuous research and support. Nursing informatics researchers and those who study nurses using technology continue to lead the way forward, influencing nursing and health care around the world. Future research directions will need to focus on the integration and incorporation of new and emerging technologies into nursing practice, education, and administration.
Acknowledgments
EB has received a Health Research BC Health Professional Investigator Award.
Conflicts of Interest
EB is the Editor-in-Chief of JMIR Nursing.
References
- Borycki EM, Lemieux-Charles L, Nagle L, Eysenbach G. Evaluating the impact of hybrid electronic-paper environments upon novice nurse information seeking. Methods Inf Med. 2009;48(2):137-143. [CrossRef] [Medline]
- Groeneveld S, Bin Noon G, den Ouden MEM, et al. The cooperation between nurses and a new digital colleague “AI-Driven Lifestyle Monitoring” in long-term care for older adults: viewpoint. JMIR Nurs. May 23, 2024;7:e56474. [CrossRef] [Medline]
- Fernandes S, von Gunten A, Verloo H. Using AI-based technologies to help nurses detect behavioral disorders: narrative literature review. JMIR Nurs. May 28, 2024;7:e54496. [CrossRef] [Medline]
- Taylor B, Hobensack M, Niño de Rivera S, Zhao Y, Masterson Creber R, Cato K. Identifying depression through machine learning analysis of omics data: scoping review. JMIR Nurs. Jul 19, 2024;7:e54810. [CrossRef] [Medline]
- Shiyab W, Rolls K, Ferguson C, Halcomb E. Nurses’ use of mHealth apps for chronic conditions: cross-sectional survey. JMIR Nurs. May 29, 2024;7:e57668. [CrossRef] [Medline]
- Bresolin P, Steindal SA, Bingen HM, et al. Technology-supported guidance models to stimulate nursing students’ self-efficacy in clinical practice: scoping review. JMIR Nurs. Mar 8, 2024;7:e54443. [CrossRef] [Medline]
- Kang A, Wu X. Assessing visitor expectations of ai nursing robots in hospital settings: cross-sectional study using the Kano model. JMIR Nurs. Nov 27, 2024;7:e59442. [CrossRef] [Medline]
- Srinivasan M, Venugopal A, Venkatesan L, Kumar R. Navigating the pedagogical landscape: exploring the implications of AI and chatbots in nursing education. JMIR Nurs. Jun 13, 2024;7:e52105. [CrossRef] [Medline]
- Ball Dunlap PA, Michalowski M. Advancing AI data ethics in nursing: future directions for nursing practice, research, and education. JMIR Nurs. Oct 25, 2024;7:e62678. [CrossRef] [Medline]
- Ware A, Blumke T, Hoover P, Arreola D. Calculating optimal patient to nursing capacity: comparative analysis of traditional and new methods. JMIR Nurs. Nov 22, 2024;7:e59619. [CrossRef] [Medline]
- Strauven H, Wang C, Hallez H, Vanden Abeele V, Vanrumste B. Unobtrusive nighttime movement monitoring to support nursing home continence care: algorithm development and validation study. JMIR Nurs. Dec 24, 2024;7:e58094. [CrossRef] [Medline]
- Cornelis J, Christiaens W, de Meester C, Mistiaen P. Remote patient monitoring at home in patients with COVID-19: narrative review. JMIR Nurs. Nov 19, 2024;7:e44580. [CrossRef] [Medline]
- Tiase VL, Sward KA, Facelli JC. A scalable and extensible logical data model of electronic health record audit logs for temporal data mining (RNteract): model conceptualization and formulation. JMIR Nurs. Jun 24, 2024;7:e55793. [CrossRef] [Medline]
- Ntiamoah M, Xavier T, Lambert J. Sentiment analysis of patient- and family-related sepsis events: exploratory study. JMIR Nurs. Apr 1, 2024;7:e51720. [CrossRef] [Medline]
- Castro A, Lalonde-LeBlond G, Freitas Z, et al. In-home respite care services available to families with palliative care needs in Quebec: novel digital environmental scan. JMIR Nurs. Apr 16, 2024;7:e53078. [CrossRef] [Medline]
- Lukkien DRM, Stolwijk NE, Ipakchian Askari S, et al. AI-assisted decision-making in long-term care: qualitative study on prerequisites for responsible innovation. JMIR Nurs. Jul 25, 2024;7:e55962. [CrossRef] [Medline]
- Obigbesan O, Graham K, Benzies KM. Software testing of eHealth interventions: existing practices and the future of an iterative strategy. JMIR Nurs. Jul 19, 2024;7:e56585. [CrossRef] [Medline]
- Kleib M, Arnaert A, Nagle LM, et al. Digital health education and training for undergraduate and graduate nursing students: scoping review. JMIR Nurs. Jul 17, 2024;7:e58170. [CrossRef] [Medline]
- Sun L, Yang B, Kindt E, Chu J. Privacy barriers in health monitoring: scoping review. JMIR Nurs. May 9, 2024;7:e53592. [CrossRef] [Medline]
- Nowell L, Johnston S, Dolan S, Jacobsen M, Lorenzetti DL, Oddone Paolucci E. Exploring educators’ perceptions and experiences of online teaching to foster caring profession students’ development of virtual caring skills: sequential explanatory mixed methods study. JMIR Nurs. Jan 15, 2025;8:e64548. [CrossRef] [Medline]
- Hutchinson A, Khaw D, Malmstrom-Zinkel A, et al. Embedding the use of patient multimedia educational resources into cardiac acute care: prospective observational study. JMIR Nurs. Jul 18, 2024;7:e54317. [CrossRef] [Medline]
- Peterson NE, Thomas M, Hunsaker S, Stewart T, Collett CJ. mHealth gratitude exercise mindfulness app for resiliency among neonatal intensive care unit staff: Three-arm pretest-posttest interventional study. JMIR Nurs. Feb 16, 2024;7:e54561. [CrossRef] [Medline]
- Johnsen HM, Nes AAG, Haddeland K. Experiences of using a digital guidance and assessment tool (the Technology-Optimized Practice Process in Nursing Application) during clinical practice in a nursing home: focus group study among nursing students. JMIR Nurs. Sep 10, 2024;7:e48810. [CrossRef] [Medline]
- Nowell L, Dolan S, Johnston S, Jacobsen M, Lorenzetti D, Oddone Paolucci E. Exploring student perspectives and experiences of online opportunities for virtual care skills development: sequential explanatory mixed methods study. JMIR Nurs. Aug 21, 2024;7:e53777. [CrossRef] [Medline]
- Togo E, Takami M, Ishigaki K. Evaluation of autonomic nervous system function during sleep by mindful breathing using a tablet device: randomized controlled trial. JMIR Nurs. Jun 12, 2024;7:e56616. [CrossRef] [Medline]
- Hamarash MQ, Ibrahim R, Yaas MH, Abdulghani MF, Al Mushhadany O. Comparative effectiveness of health communication strategies in nursing: a mixed methods study of internet, mHealth, and social media versus traditional methods. JMIR Nurs. Nov 19, 2024;7:e55744. [CrossRef] [Medline]
- Slob J, van Houwelingen T, Kort HSM. Health care workers’ expectations of the Mercury Advance SMARTcare solution to prevent pressure injuries: individual and focus group interview study. JMIR Nurs. Apr 18, 2024;7:e47992. [CrossRef] [Medline]
- Borycki EM, Kushniruk AW. Towards an integrative cognitive-socio-technical approach in health informatics: analyzing technology-induced error involving health information systems to improve patient safety. Open Med Inform J. Sep 15, 2010;4:181-187. [CrossRef] [Medline]
- Borycki EM, Kushniruk AW. Cognitive-socio-technical theory: application and use in health informatics. In: Research Handbook on Health Information Systems. Edward Elgar Publishing; 2025:45-59. [CrossRef]
- Borycki EM, Lai C, Kushniruk AW. Canada’s digital health workforce: the role of innovation, research and policy. Stud Health Technol Inform. Feb 19, 2024;312:77-81. [CrossRef] [Medline]
Abbreviations
| AI: artificial intelligence |
| DOAJ: Directory of Open Access Journals |
| INANE: International Academy of Nursing Editors |
| mHealth: mobile health |
Edited by Javad Sarvestan; This is a non–peer-reviewed article. submitted 22.03.25; accepted 24.03.25; published 07.05.25.
Copyright© Elizabeth Borycki. Originally published in JMIR Nursing (https://nursing.jmir.org), 7.5.2025.
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