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数字化转型对住院患者护理的影响:混合方法研究。

The Impact of Digital Transformation on Inpatient Care: Mixed Methods Study.

机构信息

Faculty of Management, Economics and Society, Witten/Herdecke University, Witten, Germany.

出版信息

JMIR Public Health Surveill. 2023 Apr 21;9:e40622. doi: 10.2196/40622.

DOI:10.2196/40622
PMID:37083473
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10163407/
Abstract

BACKGROUND

In the context of the digital transformation of all areas of society, health care providers are also under pressure to change. New technologies and a change in patients' self-perception and health awareness require rethinking the provision of health care services. New technologies and the extensive use of data can change provision processes, optimize them, or replace them with new services. The inpatient sector, which accounts for a particularly large share of health care spending, plays a major role in this regard.

OBJECTIVE

This study examined the influences of current trends in digitization on inpatient service delivery.

METHODS

We conducted a scoping review. This was applied to identify the international trends in digital transformation as they relate to hospitals. Future trends were considered from different perspectives. Using the defined inclusion criteria, international peer-reviewed articles published between 2016 and 2021 were selected. The extracted core trends were then contextualized for the German hospital sector with 12 experts.

RESULTS

We included 44 articles in the literature analysis. From these, 8 core trends could be deduced. A heuristic impact model of the trends was derived from the data obtained and the experts' assessments. This model provides a development corridor for the interaction of the trends with regard to technological intensity and supply quality. Trend accelerators and barriers were identified.

CONCLUSIONS

The impact analysis showed the dependencies of a successful digital transformation in the hospital sector. Although data interoperability is of particular importance for technological intensity, the changed self-image of patients was shown to be decisive with regard to the quality of care. We show that hospitals must find their role in new digitally driven ecosystems, adapt their business models to customer expectations, and use up-to-date information and communications technologies.

摘要

背景

在社会各领域数字化转型的背景下,医疗服务提供者也面临着变革的压力。新技术以及患者自我认知和健康意识的改变要求重新思考医疗服务的提供方式。新技术和广泛使用的数据可以改变服务提供流程、对其进行优化,或者用新的服务来替代。在这方面,占医疗支出特别大份额的住院部门发挥着主要作用。

目的

本研究考察了当前数字化趋势对住院服务提供的影响。

方法

我们进行了范围界定审查。这是为了确定与医院相关的数字化转型的国际趋势。从不同角度考虑了未来的趋势。使用定义的纳入标准,选择了 2016 年至 2021 年期间发表的国际同行评议文章。然后,将提取的核心趋势与 12 位专家对德国医院部门的情况进行了对比。

结果

我们在文献分析中纳入了 44 篇文章。从中可以推断出 8 个核心趋势。从获得的数据和专家评估中得出了这些趋势的启发式影响模型。该模型为趋势的相互作用提供了一个发展通道,涉及技术强度和供应质量。确定了趋势的加速因素和障碍。

结论

影响分析显示了医院部门数字化转型成功的依赖因素。尽管数据互操作性对于技术强度尤为重要,但患者改变的自我形象对于护理质量来说是决定性的。我们表明,医院必须在新的数字化驱动的生态系统中找到自己的角色,根据客户的期望调整其商业模式,并使用最新的信息和通信技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9915/10163407/b219793d51c6/publichealth_v9i1e40622_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9915/10163407/38170b9c6d70/publichealth_v9i1e40622_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9915/10163407/fa7ec9ff17ca/publichealth_v9i1e40622_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9915/10163407/af8878c49a8d/publichealth_v9i1e40622_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9915/10163407/978fea79bca5/publichealth_v9i1e40622_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9915/10163407/31dd238f0b7c/publichealth_v9i1e40622_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9915/10163407/b219793d51c6/publichealth_v9i1e40622_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9915/10163407/38170b9c6d70/publichealth_v9i1e40622_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9915/10163407/fa7ec9ff17ca/publichealth_v9i1e40622_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9915/10163407/af8878c49a8d/publichealth_v9i1e40622_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9915/10163407/978fea79bca5/publichealth_v9i1e40622_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9915/10163407/31dd238f0b7c/publichealth_v9i1e40622_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9915/10163407/b219793d51c6/publichealth_v9i1e40622_fig6.jpg

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