Competitive intelligence: A precursor to a learning health system.

IF 1.6 Q3 HEALTH POLICY & SERVICES Health Services Management Research Pub Date : 2023-02-01 DOI:10.1177/09514848211065470
H Fred Farley, Shelly Freyn
{"title":"Competitive intelligence: A precursor to a learning health system.","authors":"H Fred Farley,&nbsp;Shelly Freyn","doi":"10.1177/09514848211065470","DOIUrl":null,"url":null,"abstract":"<p><p>Unlike other developed countries, the US healthcare system is largely privatized and highly competitive. This dynamic stifles effective information sharing, while the need for prompt and accurate evidence-based decision making has become crucial. Crises, like the COVID-19 pandemic, elevate the importance of quality decision making and exacerbate issues associated with the lack of a cohesive system to share information. Competitive intelligence (CI) is a discipline that encourages gathering, analyzing, and sharing information throughout a firm in order to develop and sustain competitive advantage. CI could be considered a precursor in establishing a learning organization (LO). Although CI research has focused on its process and value, little is found in the literature on how to integrate CI into an organization; this is particularly true in healthcare. A conceptual model is proposed to build and integrate a CI function and culture within a healthcare organization to encourage effective information sharing and knowledge development. In turn, this can provide a mechanism to create a learning health system (LHS). Although the model was developed specifically for US healthcare, it offers application to healthcare in other countries as well as most any industry.</p>","PeriodicalId":45801,"journal":{"name":"Health Services Management Research","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Services Management Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/09514848211065470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0

Abstract

Unlike other developed countries, the US healthcare system is largely privatized and highly competitive. This dynamic stifles effective information sharing, while the need for prompt and accurate evidence-based decision making has become crucial. Crises, like the COVID-19 pandemic, elevate the importance of quality decision making and exacerbate issues associated with the lack of a cohesive system to share information. Competitive intelligence (CI) is a discipline that encourages gathering, analyzing, and sharing information throughout a firm in order to develop and sustain competitive advantage. CI could be considered a precursor in establishing a learning organization (LO). Although CI research has focused on its process and value, little is found in the literature on how to integrate CI into an organization; this is particularly true in healthcare. A conceptual model is proposed to build and integrate a CI function and culture within a healthcare organization to encourage effective information sharing and knowledge development. In turn, this can provide a mechanism to create a learning health system (LHS). Although the model was developed specifically for US healthcare, it offers application to healthcare in other countries as well as most any industry.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
竞争情报:学习健康系统的先兆。
与其他发达国家不同,美国的医疗保健系统基本上是私有化的,竞争激烈。这种动态阻碍了有效的信息共享,而对迅速和准确的基于证据的决策的需求变得至关重要。像COVID-19大流行这样的危机提升了高质量决策的重要性,并加剧了与缺乏凝聚力的信息共享系统相关的问题。竞争情报(CI)是一门鼓励在整个公司收集、分析和共享信息以发展和维持竞争优势的学科。CI可以被认为是建立学习型组织(LO)的先驱。尽管CI研究主要集中在其过程和价值上,但关于如何将CI整合到组织中的文献却很少;在医疗保健领域尤其如此。提出了一个概念模型,用于在医疗保健组织内构建和集成CI功能和文化,以鼓励有效的信息共享和知识开发。反过来,这可以提供一种创建学习型卫生系统(LHS)的机制。虽然该模型是专门为美国医疗保健开发的,但它可以应用于其他国家的医疗保健以及大多数任何行业。
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 去求助
来源期刊
Health Services Management Research
Health Services Management Research HEALTH POLICY & SERVICES-
CiteScore
4.00
自引率
4.80%
发文量
33
期刊介绍: Health Services Management Research (HSMR) is an authoritative international peer-reviewed journal which publishes theoretically and empirically rigorous research on questions of enduring interest to health-care organizations and systems throughout the world. Examining the real issues confronting health services management, it provides an independent view and cutting edge evidence-based research to guide policy-making and management decision-making. HSMR aims to be a forum serving an international community of academics and researchers on the one hand and healthcare managers, executives, policymakers and clinicians and all health professionals on the other. HSMR wants to make a substantial contribution to both research and managerial practice, with particular emphasis placed on publishing studies which offer actionable findings and on promoting knowledge mobilisation toward theoretical advances.
期刊最新文献
An exploration of factors leading to readiness for organizational health literacy change in community-based health organizations. The (very real) risk of irrelevance, and the great opportunity. Financial management, efficiency, and care quality: A systematic review in the context of Health 4.0. The impact of policy and technology infrastructure on telehealth utilization. Factors influencing use of eHealth services during and after the COVID-19 pandemic.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1