ArticleInquiry : a journal of medical care organization, provision and financing
Dynamic Linkages Between Digital Health and Healthcare Value Chains: Evidence From a 3-Stage Network DEA Model.
Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Healthcare Value Chains (HVCs) describe the full production flow from resource input to service delivery. However, existing literature lacks a clear analytical mechanism to evaluate how Digital Health (DH) transforms these stages. This gap may lead to the misconception that any DH investment automatically enhances efficiency, overlooking the strategic pathways through which DH affects performance. To address this issue, this study proposes a 3-stage production process evaluation framework encompassing Managerial Efficiency, Technical Efficiency and Economic Efficiency to systematically assess the impact of DH on HVCs. Using longitudinal data from 38 Taiwanese hospitals between 2015 and 2021, a non-oriented 3-stage Slack-Based Measure Data Envelopment Analysis (SBM-DEA) model and a Benchmarking Matrix were employed to capture efficiency variations and identify best-performing institutions. The analysis reveals that alliance hospitals with fragmented DH systems underperform, often lagging behind stand-alone hospitals due to insufficient system integration. Conversely, specialised hospitals demonstrate superior Managerial and Technical Efficiency, reflecting the advantages of operational focus and streamlined workflows. The Benchmarking Matrix effectively identifies optimal reference groups, providing actionable insights for alliance hospitals to enhance coordination and functional alignment. This study advances HVC theory by establishing a structured analytical model that elucidates the multi-dimensional effects of DH on healthcare performance. The proposed framework not only clarifies the mechanisms linking DH adoption to efficiency improvement but also offers strategic guidance for enhancing resource utilisation and value creation within healthcare systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.