Measuring Digital Transformation in Chinese Hospitals: Development and Validation of a Digital Maturity Evaluation Framework.

IF 8.8 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Xinyi Liu, Xiao Han, Jianjun Chen, Guanghua Zhou, Guohong Li, Xianqun Fan
{"title":"Measuring Digital Transformation in Chinese Hospitals: Development and Validation of a Digital Maturity Evaluation Framework.","authors":"Xinyi Liu, Xiao Han, Jianjun Chen, Guanghua Zhou, Guohong Li, Xianqun Fan","doi":"10.1007/s10916-026-02438-6","DOIUrl":null,"url":null,"abstract":"<p><p>Digital transformation is a key priority for modernizing China's public hospitals. However, a standardized and context-specific framework to evaluate their digital maturity remains absent. This study aims to develop and validate a comprehensive, multidimensional evaluation framework tailored to Chinese tertiary public hospitals to support systematic assessment and inform policy decisions. Based on systematic literature review and policy analysis, we constructed a framework comprising Digital Readiness, Technology Application, and Data Management Capability, with 11 subdimensions and 65 indicators. Indicator weights were derived using a two-round Delphi consultation, analytic hierarchy process, and criteria importance through intercriteria dependence method. The framework was applied to 1,361 tertiary public hospitals across 28 mainland provincial-level divisions in China. Digital maturity scores were analyzed using global sensitivity analysis (GSA), k-means clustering, and logistic regression with Firth's penalized likelihood. Digital Readiness received the largest combined weight (34.9%), followed closely by Technology Application (34.7%) and Data Management Capability (30.4%), suggesting that hospital digital maturity reflects a balanced combination of organizational readiness, technology-enabled service application, and data governance. GSA further revealed discrepancies between combined weights and empirical sensitivity rankings, indicating that these approaches captured different aspects of indicator importance. Clustering and regression analyses showed that higher-maturity hospitals had higher values across many indicators, particularly in clinical digital applications and data quality management, whereas data sharing and exchange remained relatively weak across maturity groups. Robustness checks using alternative weighting and clustering methods generally supported the stability of the main findings, while also indicating residual sensitivity to methodological choices. The proposed framework provides a structure- and process-oriented diagnostic tool for assessing digital maturity in Chinese tertiary public hospitals. It can support policy monitoring, institutional benchmarking, and targeted improvement of hospital digital transformation. Future research should update the framework with more recent data and validate maturity scores against healthcare quality, safety, efficiency, patient experience, and equity outcomes.</p>","PeriodicalId":16338,"journal":{"name":"Journal of Medical Systems","volume":"50 1","pages":""},"PeriodicalIF":8.8000,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13385418/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Systems","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10916-026-02438-6","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Digital transformation is a key priority for modernizing China's public hospitals. However, a standardized and context-specific framework to evaluate their digital maturity remains absent. This study aims to develop and validate a comprehensive, multidimensional evaluation framework tailored to Chinese tertiary public hospitals to support systematic assessment and inform policy decisions. Based on systematic literature review and policy analysis, we constructed a framework comprising Digital Readiness, Technology Application, and Data Management Capability, with 11 subdimensions and 65 indicators. Indicator weights were derived using a two-round Delphi consultation, analytic hierarchy process, and criteria importance through intercriteria dependence method. The framework was applied to 1,361 tertiary public hospitals across 28 mainland provincial-level divisions in China. Digital maturity scores were analyzed using global sensitivity analysis (GSA), k-means clustering, and logistic regression with Firth's penalized likelihood. Digital Readiness received the largest combined weight (34.9%), followed closely by Technology Application (34.7%) and Data Management Capability (30.4%), suggesting that hospital digital maturity reflects a balanced combination of organizational readiness, technology-enabled service application, and data governance. GSA further revealed discrepancies between combined weights and empirical sensitivity rankings, indicating that these approaches captured different aspects of indicator importance. Clustering and regression analyses showed that higher-maturity hospitals had higher values across many indicators, particularly in clinical digital applications and data quality management, whereas data sharing and exchange remained relatively weak across maturity groups. Robustness checks using alternative weighting and clustering methods generally supported the stability of the main findings, while also indicating residual sensitivity to methodological choices. The proposed framework provides a structure- and process-oriented diagnostic tool for assessing digital maturity in Chinese tertiary public hospitals. It can support policy monitoring, institutional benchmarking, and targeted improvement of hospital digital transformation. Future research should update the framework with more recent data and validate maturity scores against healthcare quality, safety, efficiency, patient experience, and equity outcomes.

衡量中国医院数字化转型:数字化成熟度评估框架的开发与验证
数字化转型是中国公立医院现代化的关键优先事项。然而,评估其数字化成熟度的标准化和特定于环境的框架仍然缺乏。本研究旨在开发并验证适合中国三级公立医院的综合多维评估框架,以支持系统评估并为政策决策提供信息。在系统文献综述和政策分析的基础上,构建了包含数字化准备度、技术应用和数据管理能力的框架,共包含11个子维度和65个指标。采用两轮德尔菲咨询法、层次分析法确定指标权重,采用标准间依赖法确定指标重要性。该框架已应用于中国大陆28个省级区1361家三级公立医院。使用全局敏感性分析(GSA)、k-均值聚类和Firth惩罚似然逻辑回归分析数字成熟度评分。数字准备的综合权重最大(34.9%),紧随其后的是技术应用(34.7%)和数据管理能力(30.4%),这表明医院的数字成熟度反映了组织准备、技术支持的服务应用和数据治理的平衡组合。GSA进一步揭示了组合权重和经验敏感性排名之间的差异,表明这些方法捕获了指标重要性的不同方面。聚类和回归分析表明,成熟度越高的医院在许多指标上具有更高的价值,特别是在临床数字应用和数据质量管理方面,而成熟度群体之间的数据共享和交换仍然相对薄弱。使用替代加权和聚类方法的稳健性检查通常支持主要发现的稳定性,同时也表明对方法选择的剩余敏感性。所提出的框架为评估中国三级公立医院的数字化成熟度提供了一个面向结构和流程的诊断工具。它可以支持政策监测、机构基准测试和有针对性地改进医院数字化转型。未来的研究应该用更多的最新数据更新框架,并根据医疗质量、安全性、效率、患者体验和公平结果验证成熟度评分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Medical Systems
Journal of Medical Systems 医学-卫生保健
CiteScore
11.60
自引率
1.90%
发文量
83
审稿时长
4.8 months
期刊介绍: Journal of Medical Systems provides a forum for the presentation and discussion of the increasingly extensive applications of new systems techniques and methods in hospital clinic and physician''s office administration; pathology radiology and pharmaceutical delivery systems; medical records storage and retrieval; and ancillary patient-support systems. The journal publishes informative articles essays and studies across the entire scale of medical systems from large hospital programs to novel small-scale medical services. Education is an integral part of this amalgamation of sciences and selected articles are published in this area. Since existing medical systems are constantly being modified to fit particular circumstances and to solve specific problems the journal includes a special section devoted to status reports on current installations.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书