变革管理：适应变革管理模式的框架

IF 1.5 Q3 HEALTH CARE SCIENCES & SERVICES

IISE Transactions on Healthcare Systems Engineering Pub Date : 2023-04-11 DOI:10.1080/24725579.2023.2201959

J. Rawson, Melissa A. Davis

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引用次数: 0

摘要

数字健康变革管理项目的失败率很高，这限制了其潜在利益的实现。虽然有许多变革管理模式，但只有有限的证据表明一种模式在所有情况下都是有效的。我们提出了一个框架，用于建立在组织偏好的变革管理模型的基础上，并根据所需的变革和组织对其进行调整。我们使用放射学中的三种变更管理场景（小型、大型和快速）来探索该框架的应用。之所以选择放射学来说明这个框架，是因为它的数字化时间比许多医学专业都长。鉴于放射学的大量升级和新的数字平台，它也可以作为这样一个框架的试验场。©2023“IISE”。

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Change Management: A Framework for Adaptation of the Change Management Model

Digital health change management projects have a high rate of failure which limits the realization of their potential benefits. While there are many change management models, there is limited evidence of one model being effective in all circumstances. We propose a framework for building on an organizations preferred change management model and adapting it based on the change desired and the organization. We use three change management scenarios (small, large, and rapid) from radiology to explore the application of the framework. Radiology was chosen to illustrate the framework because it has been digital longer than many medical specialties. Given the high number of upgrades and new digital platforms in Radiology, it could also serve as a testing ground for such a framework. © 2023 "IISE”.

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来源期刊

IISE Transactions on Healthcare Systems Engineering Social Sciences-Safety Research

CiteScore

3.10

自引率

0.00%

发文量

期刊介绍： IISE Transactions on Healthcare Systems Engineering aims to foster the healthcare systems community by publishing high quality papers that have a strong methodological focus and direct applicability to healthcare systems. Published quarterly, the journal supports research that explores: · Healthcare Operations Management · Medical Decision Making · Socio-Technical Systems Analysis related to healthcare · Quality Engineering · Healthcare Informatics · Healthcare Policy We are looking forward to accepting submissions that document the development and use of industrial and systems engineering tools and techniques including: · Healthcare operations research · Healthcare statistics · Healthcare information systems · Healthcare work measurement · Human factors/ergonomics applied to healthcare systems Research that explores the integration of these tools and techniques with those from other engineering and medical disciplines are also featured. We encourage the submission of clinical notes, or practice notes, to show the impact of contributions that will be published. We also encourage authors to collect an impact statement from their clinical partners to show the impact of research in the clinical practices.