ArticleInternational journal of translational medical research and public health2025
Building Real-World Evidence Infrastructure to Improve Health and Healthcare in the United States: Part I-Coordinated Registry Networks and Systemic Coordinated Inter-Organizational Networks.
Article in International journal of translational medical research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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
2 citing papers in PubMed.
- Accelerating novel therapies for sickle cell disease with RWE: ASH RC Data Hub as a strategically coordinated registry network.Blood advances · 2026Article
- Building Real-World Evidence Infrastructure to Improve Health and Healthcare in the United States: Part II-How Coordinated Registry Networks Operate Like Systemic Coordinated Inter-Organizational Networks.International journal of translational medical research and public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
Background and Objective: Over the past decade substantial government and market-driven efforts focused on the use of real-world evidence (RWE) to improve healthcare decision-making. A successful strategy has been mounted by specialty societies and their registries that have created RWE through a model known as the Coordinated Registry Network (CRN), which has accelerated innovation, improved care quality, addressed the safety and efficacy of medical products, and supported medical research. This three-part manuscript works to understand how the CRNs have succeeded by applying organizational sociology and the theory of Systemic Coordinated Inter-Organizational Networks (SCIONs). Methods: We describe CRNs as organizations that evolved from the traditional registries of clinical specialty societies. We present the SCIONs theory, a network of organizations that deploy a coordination strategy based on trust and cooperation to solve complex problems. By applying sociological concepts, we identified key characteristics and functions that can inform the development of CRNs, providing practical guidance for their implementation. Results: Our analysis reveals that CRNs offer a unique mode of coordination that can address complex healthcare challenges, leveraging traditional market and government efforts. CRNs can support the vision of a learning health system and evidence-based medicine by harnessing the power of RWE, transforming, and improving healthcare delivery. Conclusion and Implications for Translation: CRNs have the potential to transform evidence generation in healthcare by curating and integrating multiple data sources that can address the data needs of multiple CRN partners. This American solution to the provision of evidence for supporting decision-making in healthcare builds on professional society relationships; the CRN model has demonstrated success in large national registries and warrants expansion to other specialty areas. By understanding the organizational sociology of CRNs, we can unlock their full potential to drive innovation, efficiency, and quality improvement in healthcare.
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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.