Evidence map›Paper›PMID 40389484›Full record

ArticleScientific reports2025

Research on cross-organizational integration and sharing strategies of digital health resources in the context of cloud platforms.

Wu Hui

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. From Integrated Care to Learning Systems.Healthcare (Basel, Switzerland) · 2026
    Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Wu HuiCollege of Business Administration, Shenyang Polytechnic College, Shenyang, China. wuhui_467@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the rapid advancement of information technology, cloud platforms have emerged as pivotal infrastructure for the storage, management, and sharing of digital health resources, playing a crucial role in the digital health landscape. This paper constructs a framework based on the integration mechanism of digital health resources in the cloud platform environment, and uses the differential game method to deduce how to achieve cross-organizational integration and efficient sharing of digital health resources, and proposes corresponding optimization strategies and coordination mechanisms. It is found that: (1) In the context of decentralized decision-making under a cost-sharing-absent contract, individual entities formulate strategies based on their respective marginal benefits. The dynamic interplay of these strategies unexpectedly yields positive ramifications. (2) Adopting master-slave decision-making under the cost-sharing contract can significantly enhance the system's resource sharing effect, but the incentive subsidy of the cloud platform needs to be kept in a moderate range. (3) The centralized decision-making framework within the context of collaborative control embodies sophisticated optimal decision analysis, while also illuminating the mechanisms through which participating entities facilitate the integration and optimization of resources within digital health systems. The theoretical contribution of this study is to provide strategic guidance for the synergistic cooperation between the government and academic research organization in the context of the cloud platform, and its practical significance is to guide the digital health system to achieve sustainable development.

Indexed as

Cloud platformCoordination mechanismCross-organizational integrationDigital health resourcesSharing strategy

Identifiers

PMID40389484
PMCPMC12089457

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.