ReviewHealth care science2026
Exploring the Value Realization and Management of Healthcare Data Elements in the Context of New Quality Productive Forces.
Review in Health care science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This review centers on the core role of medical data in new quality productive forces. It systematically examines the current landscape of the rapid expansion of these data and explores their value in depth. Drawing on value chain theory, the paper proposes a "value flow" analytical framework, and conducts an in-depth exploration of the full dynamic process through which medical data are converted into data assets. We defined "value flow" as a process in which data value undergoes directional transmission, integration, amplification, and ultimate release along a chain-like pathway spanning data collection, governance, analysis, application, and circulation. We argue that a focus solely on the static components of the "value chain" cannot fully capture the holistic landscape of the transformation. Instead, it is essential to integrate dynamic value flow to systematically resolve the core challenges inherent in this transformation. The tracking and optimization of value flow direction supports objectives including: (1) Eliminating data silos and process breakpoints, and guaranteeing the seamless flow of value across clinical practice, scientific research, administrative management and other application scenarios; (2) Defining the contributions and rights allocation of stakeholders at each stage, providing a robust basis for the development of a compliant and sustainable profit-sharing mechanism; (3) Charting the operational orientation of data as assets, facilitating the precise allocation of data assets to high-demand scenarios and maximizing the realization of their inherent value. This paper therefore focuses on the assetization of medical data, and incorporates value flow to suggest a sustainable value release mechanism and core components of asset management after assetization. It therefore establishes a factor-oriented management framework for data assets rooted in value chain theory and guided by value flow direction. This framework offers medical institutions practical guidance for integrating theoretical underpinnings and operational feasibility of data assetization, supporting the management of data across its full life-cycle, including value monetization and strategic planning of data assets.
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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 OpenQuestion graph.