Suppr超能文献

从大数据分析能力到医院的价值:范围综述。

The path from big data analytics capabilities to value in hospitals: a scoping review.

机构信息

Arènes (CNRS UMR 6051), Institut du Management, Chaire Prospective en Santé, École des Hautes Études en Santé Publique, Rennes, France.

i3-Centre de Recherche en Gestion, Institut Interdisciplinaire de l'Innovation (UMR 9217), École polytechnique, Palaiseau, France.

出版信息

BMC Health Serv Res. 2022 Jan 31;22(1):134. doi: 10.1186/s12913-021-07332-0.

Abstract

BACKGROUND

As the uptake of health information technologies increased, most healthcare organizations have become producers of big data. A growing number of hospitals are investing in the development of big data analytics (BDA) capabilities. If the promises associated with these capabilities are high, how hospitals create value from it remains unclear. The present study undertakes a scoping review of existing research on BDA use in hospitals to describe the path from BDA capabilities (BDAC) to value and its associated challenges.

METHODS

This scoping review was conducted following Arksey and O'Malley's 5 stages framework. A systematic search strategy was adopted to identify relevant articles in Scopus and Web of Science. Data charting and extraction were performed following an analytical framework that builds on the resource-based view of the firm to describe the path from BDA capabilities to value in hospitals.

RESULTS

Of 1,478 articles identified, 94 were included. Most of them are experimental research (n=69) published in medical (n=66) or computer science journals (n=28). The main value targets associated with the use of BDA are improving the quality of decision-making (n=56) and driving innovation (n=52) which apply mainly to care (n=67) and administrative (n=48) activities. To reach these targets, hospitals need to adequately combine BDA capabilities and value creation mechanisms (VCM) to enable knowledge generation and drive its assimilation. Benefits are endpoints of the value creation process. They are expected in all articles but realized in a few instances only (n=19).

CONCLUSIONS

This review confirms the value creation potential of BDA solutions in hospitals. It also shows the organizational challenges that prevent hospitals from generating actual benefits from BDAC-building efforts. The configuring of strategies, technologies and organizational capabilities underlying the development of value-creating BDA solutions should become a priority area for research, with focus on the mechanisms that can drive the alignment of BDA and organizational strategies, and the development of organizational capabilities to support knowledge generation and assimilation.

摘要

背景

随着健康信息技术的普及,大多数医疗机构已成为大数据的生产者。越来越多的医院正在投资开发大数据分析(BDA)能力。如果这些能力的承诺很高,那么医院如何从中创造价值尚不清楚。本研究对现有关于医院中 BDA 使用的研究进行了范围界定审查,以描述从 BDA 能力(BDAC)到价值及其相关挑战的路径。

方法

本范围界定审查遵循 Arksey 和 O'Malley 的 5 个阶段框架进行。采用系统搜索策略在 Scopus 和 Web of Science 中确定相关文章。数据图表和提取是根据基于企业资源观的分析框架进行的,该框架用于描述医院中从 BDA 能力到价值的路径。

结果

在确定的 1478 篇文章中,有 94 篇被纳入。其中大多数是在医学(n=66)或计算机科学期刊(n=28)上发表的实验研究(n=69)。与使用 BDA 相关的主要价值目标是提高决策质量(n=56)和推动创新(n=52),主要适用于护理(n=67)和行政(n=48)活动。为了达到这些目标,医院需要充分结合 BDA 能力和价值创造机制(VCM),以实现知识生成并推动其吸收。效益是价值创造过程的终点。所有文章都预期会有收益,但只有少数文章(n=19)实现了收益。

结论

本综述证实了 BDA 解决方案在医院中的创造价值潜力。它还表明了组织挑战,这些挑战阻止了医院从 BDAC 构建工作中产生实际收益。应优先研究支持价值创造的 BDA 解决方案的战略、技术和组织能力的配置,重点关注可以推动 BDA 与组织战略对齐以及发展支持知识生成和吸收的组织能力的机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4539/8805378/2efbd09d1673/12913_2021_7332_Fig1_HTML.jpg

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

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验