文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

三级医院实施护理临床决策支持系统的障碍和促进因素:使用 FITT 框架的定性研究。

Barriers and facilitators to implementing a nursing clinical decision support system in a tertiary hospital setting: A qualitative study using the FITT framework.

机构信息

School of Nursing, Fudan University, Shanghai 200032, China; Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai 200032, China.

Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai 200032, China.

出版信息

Int J Med Inform. 2022 Oct;166:104841. doi: 10.1016/j.ijmedinf.2022.104841. Epub 2022 Aug 19.


DOI:10.1016/j.ijmedinf.2022.104841
PMID:36027798
Abstract

OBJECTIVE: Clinical decision support systems (CDSSs) have been increasingly introduced to health care settings; however, their adoption is far from ideal. Guided by the FITT framework, this study aims to explore barriers and facilitators to the implementation of a CDSS from the perspective of nurses. METHODS: A qualitative study with 200 h of participatory observation and 21 semi structured interviews was conducted from February to August 2021 in four medical-surgical wards in a 2000-bed tertiary hospital in Shanghai, China. The field notes were typed and the audio-recorded interviews were transcribed to texts verbatim and were coded with a four-step approach. We used the FITT framework to interpret our findings based on the technology, individual and task attributes and the fit between them. RESULTS: A total of twelve categories were identified, which were integrated into two themes: barriers and facilitators to system implementation. All categories but one can be mapped to the three attributes of the FITT framework: technology, individual and task. We assumed that management has a vital role to play in the following areas: addressing user resistance, improving system usability, setting standards on practice and, finally, building connectivity between nurses and the technical staff to improve the fit between the technology, individual and task attribute and thus promote system implementation. CONCLUSION: Barriers and facilitators to CDSS implementation include system-related, user-related and organizational factors which can largely be fit into the FITT framework. There is potential to extend the FITT framework to represent management intervention on inter-disciplinary collaboration. Future empirical studies on facilitating strategies from the management to improve user experience and willingness of CDSS adoption are needed.

摘要

目的:临床决策支持系统(CDSS)已越来越多地引入医疗保健环境;然而,它们的采用远非理想。本研究以 FITT 框架为指导,旨在从护士的角度探讨 CDSS 实施的障碍和促进因素。

方法:这是一项定性研究,于 2021 年 2 月至 8 月在中国上海一家拥有 2000 张床位的三级医院的四个外科病房进行,共进行了 200 小时的参与式观察和 21 次半结构化访谈。现场记录被打字,录音访谈被转录成逐字文本,并采用四步方法进行编码。我们使用 FITT 框架根据技术、个人和任务属性及其之间的适配来解释我们的发现。

结果:共确定了十二个类别,这些类别被整合为两个主题:系统实施的障碍和促进因素。除了一个类别外,所有类别都可以映射到 FITT 框架的三个属性:技术、个人和任务。我们假设管理层在以下方面发挥着至关重要的作用:解决用户抵制、提高系统可用性、制定实践标准,最后,在护士和技术人员之间建立连接,以改善技术、个人和任务属性之间的适配,从而促进系统实施。

结论:CDSS 实施的障碍和促进因素包括系统相关、用户相关和组织因素,这些因素在很大程度上可以适应 FITT 框架。有可能将 FITT 框架扩展为代表管理层干预跨学科协作。需要进一步开展关于管理干预措施的实证研究,以改善用户体验和采用 CDSS 的意愿。

相似文献

[1]
Barriers and facilitators to implementing a nursing clinical decision support system in a tertiary hospital setting: A qualitative study using the FITT framework.

Int J Med Inform. 2022-10

[2]
IT-adoption and the interaction of task, technology and individuals: a fit framework and a case study.

BMC Med Inform Decis Mak. 2006-1-9

[3]
Identifying barriers and facilitators to successful implementation of computerized clinical decision support systems in hospitals: a NASSS framework-informed scoping review.

Implement Sci. 2023-7-26

[4]
What hinders the uptake of computerized decision support systems in hospitals? A qualitative study and framework for implementation.

Implement Sci. 2017-9-15

[5]
Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence-Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation.

JMIR Form Res. 2022-6-13

[6]
Identification of Factors Influencing the Adoption of Health Information Technology by Nurses Who Are Digitally Lagging: In-Depth Interview Study.

J Med Internet Res. 2020-8-14

[7]
Transition to a new nursing information system embedded with clinical decision support: a mixed-method study using the HOT-fit framework.

BMC Med Inform Decis Mak. 2022-11-28

[8]
Applying the Non-Adoption, Abandonment, Scale-up, Spread, and Sustainability Framework Across Implementation Stages to Identify Key Strategies to Facilitate Clinical Decision Support System Integration Within a Large Metropolitan Health Service: Interview and Focus Group Study.

JMIR Med Inform. 2024-10-17

[9]
Barriers and facilitators to the uptake of computerized clinical decision support systems in specialty hospitals: protocol for a qualitative cross-sectional study.

Implement Sci. 2014-8-28

[10]
Employing the FITT framework to explore HIV case managers' perceptions of two electronic clinical data (ECD) summary systems.

Int J Med Inform. 2012-7-28

引用本文的文献

[1]
Sociotechnical Adaptation of Telerehabilitation in Rehabilitation Practice: Survey Among Rehabilitation Professionals.

JMIR Rehabil Assist Technol. 2025-7-28

[2]
Capabilities of computerized decision support systems supporting the nursing process in hospital settings: a scoping review.

BMC Nurs. 2025-7-1

[3]
A systematic review of clinicians' acceptance and use of clinical decision support systems over time.

NPJ Digit Med. 2025-5-26

[4]
Intervention design for artificial intelligence-enabled macular service implementation: a primary qualitative study.

Implement Sci Commun. 2024-11-26

[5]
Implementation of Machine Learning Applications in Health Care Organizations: Systematic Review of Empirical Studies.

J Med Internet Res. 2024-11-25

[6]
Exploring the role of professional identity in the implementation of clinical decision support systems-a narrative review.

Implement Sci. 2024-2-12

[7]
Clinical Decision Support Tools in the Electronic Medical Record.

Kidney Int Rep. 2023-10-29

[8]
The Role of Human and Organizational Factors in the Pursuit of One Digital Health.

Yearb Med Inform. 2023-8

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索