Artificial Intelligence for Systematic Review and Meta-Analysis Research in Nursing Management
Keywords:
Artificial Intelligence, Systematic Review, Nursing Management, Software Tools, PRISMA 2020Abstract
Systematic Review (SR) is a critical methodology for synthesizing evidence in nursing management. This article presents an overview of AI applications to enhance SR research across six key phases: reference management, screening and selection, data extraction, meta-analysis, risk of bias assessment, and reporting standards. Tools including Zotero, Rayyan, REDCap, R (metafor), RoB 2, JBI Critical Appraisal Tools, and PRISMA 2020 are discussed. Findings indicate that AI significantly reduces researcher workload, improves screening accuracy, and promotes international reporting standards. This article aims to support graduate students and researchers in nursing administration to select appropriate and effective tools for high-quality systematic review research.
References
เพชรน้อย สิงห์ช่างชัย. (2568). การวิจัยทบทวนอย่างเป็นระบบและวิเคราะห์อภิมานด้วยแนวปฏิบัติของ PRISMA 2020 สำหรับการบริหารทางการพยาบาล. วารสารเครือข่ายวิทยาลัยพยาบาลและการสาธารณสุขภาคใต้, 12(2), e278816. https://he01.tci-thaijo.org/index.php/scnet/article/view/278816
Balduzzi, S., Rücker, G., & Schwarzer, G. (2019). How to perform a meta-analysis with R: A practical tutorial. Evidence-Based Mental Health, 22(4), 153-160. https://doi.org/10.1136/ebmental-2019-300117
Booth, A., Sutton, A., & Papaioannou, D. (2021). Systematic Approaches to a Successful Literature review (3rd ed.). London, England: SAGE Publications.
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021). Introduction to Meta-Analysis (2nd ed.). Hoboken, NJ: Wiley.
Chang, C., Jen, H., & Su, W. (2023). Trends in artificial intelligence in nursing: Impacts on nursing management. Journal of Nursing Management, 31(4), 112-121. https://doi.org/10.1111/jonm.13858
Critical Appraisal Skills Programme. (2018). CASP checklists. Retrieved April 17, 2026, from https://casp-uk.net/casp-tools-checklists/
Harris, P. A., Taylor, R., Minor, B. L., Elliott, V., Fernandez, M., O'Neal, L., et al. (2019). The REDCap consortium: Building an international community of software platform partners. Journal of Biomedical Informatics, 95, Article 103208. https://doi.org/10.1016/j.jbi.2019.103208
Martinez-Ortigosa, A., Martinez-Granados, A., Gil-Hernandez, E., Rodriguez-Arrastia, M., Ropero-Padilla, C., & Roman, P. (2023). Applications of artificial intelligence in nursing care: A systematic review. Journal of Nursing Management, 2023, Article 3219127. https://doi.org/10.1155/2023/3219127
Moola, S., Munn, Z., Tufanaru, C., Aromataris, E., & Sears, K. (2020). Chapter 7: Systematic reviews of etiology and risk. In E. Aromataris & Z. Munn (Eds.), JBI manual for evidence synthesis. Adelaide, Australia: JBI. doi:10.46658/JBIMES-20-08
Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A. (2016). Rayyan: A web and mobile app for systematic reviews. Systematic Reviews, 5(1), Article 210. https://doi.org/10.1186/s13643-016-0384-4
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, Article n71. https://doi.org/10.1136/bmj.n71
Rethlefsen, M. L., Kirtley, S., Waffenschmidt, S., Ayala, A. P., Moher, D., Page, M. J., et al. (2021). PRISMA-S: An extension to the PRISMA statement for reporting literature searches in systematic reviews. Systematic Reviews, 10(1), Article 39. https://doi.org/10.1186/s13643-021-01621-7
Ruksakulpiwat, S., Phianhasin, L., Benjasirisan, C., Chiaranai, C., Smith, O., & Aldossari, H. A. (2025). Artificial intelligence in nursing research: A systematic review of applications, benefits, and challenges. International Nursing Review. Advance online publication. https://doi.org/10.1111/inr.70080
Sheikh, H., Prins, C., & Schrijvers, E. (2023). Artificial intelligence: Definition and background. In H. Sheikh, C. Prins, & E. Schrijvers (Eds.), Mission AI: The New System Technology (pp. 15-41). Springer. https://doi.org/10.1007/978-3-031-21448-6_2
Sterne, J. A. C., Savovic, J., Page, M. J., Elbers, R. G., Blencowe, N. S., Boutron, I., et al. (2019). RoB 2: A revised tool for assessing risk of bias in randomised trials. BMJ, 366, Article l4898. https://doi.org/10.1136/bmj.l4898
Viechtbauer, W. (2010). Conducting meta-analyses in R with the meta for package. Journal of Statistical Software, 36(3), 1-48. https://doi.org/10.18637/jss.v036.i03
Wei, Y., Pan, J., Liu, X., Hong, R., Nong, H., & Zhang, L. (2025). The integration of AI in nursing: Addressing current applications, challenges, and future directions. Frontiers in Medicine, 12, Article 1552372. https://doi.org/10.3389/fmed.2025.1552372
Wells, G. A., Shea, B., O'Connell, D., Peterson, J., Welch, V., Losos, M., et al. (2000). The Newcastle- Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. Ottawa Hospital Research Institute. Retrieved April 17, 2026, from http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp
Downloads
Published
Issue
Section
License
Copyright (c) 2026 The Southern College Network Journal of Nursing and Public Health
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
1. บทความหรือข้อคิดเห็นใด ๆ ที่ปรากฏในวารสารเครือข่าย วิทยาลัยพยาบาลและการสาธารณสุขภาคใต้ ที่เป็นวรรณกรรมของผู้เขียน บรรณาธิการหรือเครือข่ายวิทยาลัยพยาบาลและวิทยาลัยการสาธารณสุขภาคใต้ ไม่จำเป็นต้องเห็นด้วย
2. บทความที่ได้รับการตีพิมพ์ถือเป็นลิขสิทธิ์ของ วารสารเครือข่ายวิทยาลัยพยาบาลและการสาธารณสุขภาคใต้
