医学影像科室知识共享成熟度模型发展研究。

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES
JMIR Human Factors Pub Date : 2025-05-06 DOI:10.2196/54484
Maryam Almashmoum, James Cunningham, John Ainsworth
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引用次数: 0

摘要

背景:医学影像部门的知识共享是由改善卫生保健服务、发展卫生保健专业人员技能和减少重复错误的需要驱动的。它被认为是实施知识管理解决方案的重要步骤。通过遵循知识共享的成熟度模型,可以改进知识共享实践。目的:建立医学影像科室知识共享的成熟度模型,以帮助管理者评估知识共享实践的成熟度。在现代卫生保健机构中,卫生保健专业人员的技能和卫生保健服务的改进往往是通过实践知识共享行为来推动的。管理者可以根据知识共享成熟度模型的指标及其度量来确定当前的水平,并进入下一个水平。方法:本研究分4个阶段进行:概述阶段,重点分析影响医学影像科室知识共享实践的因素;一个分析因素阶段,旨在使用并行混合方法(问卷调查和半结构化访谈)评估影响2个医学影像学部门知识共享的因素;构建成熟度模型知识共享阶段,在第一阶段和第二阶段的基础上构建知识共享成熟度模型;最后是信度和效度评估阶段,其中采用改进的德尔菲法获得专家对模型组件的共识,为植入做好准备。结果:本研究提出的模型包括17个指标,分为11个组成部分。这些成分来自于在医学影像部门应用的问卷调查和半结构化访谈的结果。它包括5个成熟度级别:初始、意识、定义、管理和优化。在每个级别中,测量包括帮助管理者通过回答问题来评估当前水平。在可靠性的基础上,专家们通过2轮SD对模型的组成部分达成了共识。结论:该医学影像科室知识共享成熟度模型可以让管理者和决策者衡量科室知识共享的成熟度水平。虽然该模型已经应用于医学影像部门,但它很容易被修改以应用于其他机构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge Sharing Maturity Model for Medical Imaging Departments: Development Study.

Background: Knowledge sharing in medical imaging departments is driven by the need to improve health care services, develop health care professionals' skills, and reduce repetitive mistakes. It is considered an important step in the implementation of knowledge management solutions. By following a maturity model of knowledge sharing, knowledge-sharing practices can be improved.

Objective: This study aimed to develop a maturity model for knowledge sharing in the medical imaging department to help managers to assess the level of maturity of knowledge-sharing practices. In modern health care institutions, improvements in health care professionals' skills and health care services are often driven through practicing knowledge-sharing behaviors. Managers can follow the indicators of maturity model of knowledge sharing and its measurements to identify the current level and move to the next level.

Methods: This study was conducted in 4 stages: an overview stage that highlighted the factors that affect knowledge-sharing practices in medical imaging departments; an analysis factor stage that was designed to assess the factors that affect knowledge sharing using a concurrent mixed methods approach (questionnaires and semistructured interviews) in 2 medical imaging departments; a structuring maturity model knowledge sharing stage, where a maturity model of knowledge sharing was developed based on the findings of the first and second stages; and finally, an assessment of reliability and validity stage, where a modified Delphi method was used to obtain consensus among experts on model components to be ready for implantation.

Results: The model presented in this study includes 17 indicators, divided into 11 components. Those components were derived from the findings of the questionnaires and semistructured interviews that were applied in the medical imaging departments. It consisted of 5 maturity levels: initial, aware, defined, managed, and optimized. In each level, measurements were included to help managers assess the current level by answering the questions. On the basis of reliability, the experts reached a consensus agreement on the model's components in 2 rounds with SD <1.

Conclusions: This maturity model of knowledge sharing in medical imaging departments allows managers and policy makers to measure the maturity level of knowledge sharing in those departments. Although the model has been applied to medical imaging departments, it could easily be modified for application in other institutions.

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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
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