<?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.v3iSpecial.13951</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Digital and Intelligent Empowerment and New Quality Health Service Capabilities Cultivation: An Exploration on the Teaching Reform of the “Health Service and Management Skills” Experimental Course</title><url>https://artdesignp.com/journal/IJGPN/3/0/10.26689/ijgpn.v3iSpecial.13951</url><author>YangYinghui,YaoMeifang,LuXiaoqiu,GuoXige</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>3</volume><issue>0</issue><history><date date-type="pub"><published-time>2026-02-25</published-time></date></history><abstract>Under the dual strategies of “Healthy China 2030” and “Digital China,” professionals in health service and management are expected to possess both traditional medical competencies and digital and intelligent healthcare literacy. To address the gap between the “Health Service and Management Skills” laboratory course and job competency, the reform of this experimental course is undertaken, aiming to establish a “new ecology of digital and intelligent experimental teaching” that cultivates talents with new quality health service capabilities. Four core competency development goals are defined: data literacy and intelligent decision-making; application of intelligent tools and human–machine collaboration; personalized and precise service design; and digital communication skills. Teaching measures include VR-based virtual simulation for pre-class preparation, AI and big data platform–driven data prediction, and interactive intelligent courseware that provides personalized feedback and learning plans. Supported by real-world health management project practice, the reform also integrates innovation competition, diversified assessment methods, and the cultivation of humanistic qualities. Students’ subjective initiative was stimulated, and their job competency in adapting to “new quality health service capabilities” was significantly enhanced. This study explored the cultivation pathways for future professionals in the health service industry, providing valuable insights for similar course reforms, and established a replicable model of teaching innovation applicable to majors such as elderly Health Service and Management and digital healthcare.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Central Committee of the Communist Party of China (CCCPC), State Council of the People’s Republic of China, 2016, “Healthy China 2030” Planning Outline, viewed December 10, 2024, https://www.gov.cn/zhengce/2016-10/25/content_5124174.htm</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>Afonin AN, Kiseleva NN, Yaremenko AI, et al., 2023, The Place of Artificial Intelligence in Modern Healthcare and Medical Education. The Scientific Notes of the Pavlov University, 30(2): 16–24.</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>Wang B, 2023, What is Digital Intelligence? A Study on the Multiple Meanings of the Concept of Digital Intelligence. J Intell, 42(7): 71–76.</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>Rasouli S, Alkurdi D, Jia B, 2024, The Role of Artificial Intelligence in Modern Medical Education and Practice: A Systematic Literature Review. medRxiv. Cold Spring Harbor Laboratory.</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>Atkins R, Brown KM, Mudd SS, et al., 2025, Reimagining Nursing Education: Leveraging Competency-Based Education, Artificial Intelligence, and Simulation for a Diverse and Practice-Ready Workforce. Nursing Outlook, 73(6): 102582.</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>Xu Y, Jiang Z, Ting DSW, et al., 2024, Medical Education and Physician Training in the Era of Artificial Intelligence. Singapore Medical Journal, 65(3): 159–166.</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>Ostick M, Mariani B, Lovecchio C, 2025, The Use of Generative Artificial Intelligence (AI) in Nursing Education. Teaching and Learning in Nursing, 20(4): e1296–e1301.</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>Feng L, Zhou HZ, Hou JJ, 2025, Current Situation Investigation of Artificial Intelligence Empowering Higher Medical Education. Chinese Journal of Medical Education Research, 2025(08): 1022–1031.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Hind B, Barkouk A, Belayachi N, et al., 2024, Empowering Future Healthcare Professionals: Enhancing Medical Education through the Integration of Artificial Intelligence, 2024 International Conference on Circuit, Systems and Communication (ICCSC), 1–4.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Hu YQ, 2024, Application Research of Generative Artificial Intelligence in Popular Science Communication. Digital Communication World, 2024(11): 165–167.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Zhang H, Pan T, 2022, Public Health Risk Assessment and Prevention Based on Big Data. Journal of Environmental and Public Health, 2022(1): 7965917.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Kong W, Ning Y, Ma T, et al., 2024, Experience of Undergraduate Nursing Students Participating in Artificial Intelligence + Project Task Driven Learning at Different Stages: A Qualitative Study. BMC Nursing, 23(1): 314.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Ermakov SS, Bystrova YA, 2024, Analyzing Research on the Role of Computer-Based Training Devices in Shaping, Measuring and Improving Teamwork Skills. Experimental Psychology (Russia), 17(2): 113–127.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Yang JJ, Zhou C, 2023, Algorithm Black Box Problem of Medical Artificial Intelligence: Ethical Challenges and Resolution Approaches. Chinese Science Bulletin, 68(13): 1604–1610.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
