<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">IJGPN</journal-id><journal-title-group><journal-title>International Journal of General Practice Nursing</journal-title></journal-title-group><issn>2981-9415</issn><eissn>2981-9423</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ijgpn.v4i2.14675</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Construction and Application of a “Five- Proactive” Predictive Nursing Management System in A Tertiary Hospital: A Practice Innovation for High-Quality Development</title><url>https://artdesignp.com/journal/IJGPN/4/2/10.26689/ijgpn.v4i2.14675</url><author>WangNa,YangBaoyi,WangRong</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>2</issue><history><date date-type="pub"><published-time>2026-05-31</published-time></date></history><abstract>Background: Under the National Health Commission’s Further Improvement of Nursing Service Action Plan (2023–2025) and the context of high-quality development in public hospitals, traditional reactive nursing models have shown limitations in patient safety and quality outcomes. Objective: To develop and implement a predictive nursing management system integrating “Prediction–Early Warning–Prevention–Emergency Response” and a supporting “Five-Prevention System” (risk prediction, safety early warning, proactive prevention, emergency preparedness, and practical simulation). Methods: Taihe Hospital, a large tertiary hospital in Shiyan, China, systematically introduced a predictive nursing model starting in 2024. Interventions included tiered training (14 themes, 648 sessions, 19,622 nurse attendances), information technology upgrades (I-EWS, tri‑color risk warning system), risk stratification (unit/nurse manager/nurse levels), performance incentives, and regular emergency drills. Outcome indicators included adverse event reporting, complication rates, length of stay, and patient/nurse satisfaction. Results: After implementation, the proportion of reported grade‑IV adverse events significantly increased (indicating earlier detection of potential risks). Elective surgery complication rates, unplanned readmission rates, and average length of stay all decreased. Nurse professional value and patient satisfaction improved markedly. Several serious adverse events (e.g., postoperative neck hematoma leading to airway compression) were prevented through early warning and intervention. Conclusions: The predictive nursing “Five‑Prevention System” is feasible and effective in shifting nursing practice from reactive to proactive, improving patient safety and nurse empowerment. The model provides a replicable pathway for nursing management transformation in large public hospitals.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Zhao SR, 2026, Practice and Reflection on High‑quality Development of a Prefecture‑level Hospital under the Context of Deepening Healthcare Reform. China Health Standard Management. 17(2): 43–46.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>National Health Commission, National Administration of Traditional Chinese Medicine, 2023, Further Improvement of Nursing Service Action Plan (2023–2025).</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Shun SC, 2020, A Path to Better Nursing: Fostering Person‑centered, Proactive Nursing Care. Journal of Nursing Research, 28(6): e119.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Lyu YJ, Cai WQ, Chen TT, et al., 2025, Research Progress on Predictive Nursing Strategies for Critically Ill Patients Based on Artificial Intelligence. China Medical Herald, 22(13): 101–104.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Zhou YH, 2019, Effect of Predictive Nursing on Therapeutic Efficacy of Noninvasive Mechanical Ventilation in Type II Respiratory Failure. Journal of Xinxiang Medical University, 36(1): 89–91.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Kim D, Shin H, Chang SO, 2023, Proactive Nursing: A Concept Analysis. Journal of Korean Academy of Nursing, 30(4): 459–468.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Xue D, Zhou P, Huang JX, et al., 2011, Correlation Analysis between Strategy, Culture and Performance in Chinese Public Hospitals. Chinese Journal of Hospital Administration, 31(6): 15–17.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>He HB, Chai JL, Zhao SG, et al., 2021, High‑quality Development Transformation Strategy of Public Hospitals Based on the Concept of “Big Quality”. Chinese Journal of Hospital Administration, 41(8): 1–3.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
