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

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Publisher JMIR Publications
Date 2023 Apr 21
PMID 37083473
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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.

Citing Articles

DiScO: novel rapid systems mapping to inform digital transformation of health systems.

Katapally T, Elsahli N, Bhawra J Front Public Health. 2024; 12:1441328.

PMID: 39525463 PMC: 11544543. DOI: 10.3389/fpubh.2024.1441328.

References
1.
Berntsen G, Strisland F, Malm-Nicolaisen K, Smaradottir B, Fensli R, Rohne M . The Evidence Base for an Ideal Care Pathway for Frail Multimorbid Elderly: Combined Scoping and Systematic Intervention Review. J Med Internet Res. 2019; 21(4):e12517. PMC: 6658285. DOI: 10.2196/12517. View

2.
Korte L, Bohnet-Joschko S . Digitization in Everyday Nursing Care: A Vignette Study in German Hospitals. Int J Environ Res Public Health. 2022; 19(17). PMC: 9518544. DOI: 10.3390/ijerph191710775. View

3.
Ma L, Luo N, Wan T, Hu C, Peng M . An Improved Healthcare Accessibility Measure Considering the Temporal Dimension and Population Demand of Different Ages. Int J Environ Res Public Health. 2018; 15(11). PMC: 6266999. DOI: 10.3390/ijerph15112421. View

4.
Chong N, Chu Shan Elaine C, de Korne D . Creating a Learning Televillage and Automated Digital Child Health Ecosystem. Pediatr Clin North Am. 2020; 67(4):707-724. DOI: 10.1016/j.pcl.2020.04.016. View

5.
Fang C, Chen K, Zhang P . [The current situation and prospects of the application of intelligent diagnosis and treatment technology in the general surgery]. Zhonghua Wai Ke Za Zhi. 2019; 57(1):1-5. DOI: 10.3760/cma.j.issn.0529-5815.2019.01.001. View