{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T17:06:39Z","timestamp":1779728799487,"version":"3.53.1"},"reference-count":56,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T00:00:00Z","timestamp":1779667200000},"content-version":"vor","delay-in-days":144,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Nursing Management"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Aim and Objectives<\/jats:title>\n                    <jats:p>This study aimed to characterize documentation patterns in hemodialysis nursing records using integrated text mining and nursing surveillance analysis, focusing on surveillance priorities and documentation imbalances.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Hemodialysis patients require continuous nursing surveillance due to frequent intradialytic complications; however, systematic analyses of nursing documentation in this setting remain limited.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>A mixed\u2010methods study integrating quantitative text mining and structured analysis of nursing surveillance activities.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Free\u2010text nursing records (300,321 entries) generated during maintenance hemodialysis sessions for 188 adult patients at a tertiary hospital in South Korea (July 2020\u2013June 2025) were analyzed. Keyword frequency analysis and latent Dirichlet allocation topic modeling were performed after preprocessing, resulting in an eight\u2010topic model. Nursing surveillance activities were mapped to the 16\u2010item Korean Nursing Surveillance Scale through sentence\u2010level classification by two independent researchers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The top 30 keywords accounted for 75.3% of all extracted terms, indicating highly repetitive documentation. Terms related to dialysis procedures, vascular access, blood pressure, vital signs, bleeding, falls, pain, dizziness, and hypotension were frequently documented, whereas education\u2010related terms were less frequently documented. Topic modeling identified three overarching domains: the hemodialysis treatment process, clinical assessment and monitoring, and safety and risk management. Surveillance item analysis demonstrated high documentation frequencies for vascular access, vital signs, bleeding, and hypotension or dizziness, with low documentation of patient self\u2010management and education.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Hemodialysis nursing documentation primarily emphasizes physiological surveillance and safety management, with relatively limited documentation of patient education and self\u2010management support.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Implications for Nurse Leaders<\/jats:title>\n                    <jats:p>These findings suggest that optimizing electronic nursing record templates, along with incorporating structured prompts and natural language processing approaches, may support more balanced documentation and data\u2010driven decision\u2010making.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1155\/jonm\/5445706","type":"journal-article","created":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T16:54:26Z","timestamp":1779728066000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Topic Modeling of Nursing Documentation in Hemodialysis Units: A Mixed\u2010Methods Study of Nursing Surveillance 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