Evidence map›Paper›PMID 27141522›Full record

ArticleEGEMS (Washington, DC)2016

Software-Enabled Distributed Network Governance: The PopMedNet Experience.

Melanie Davies, Kyle Erickson, Zachary Wyner, Jessica Malenfant, Rob Rosen, Jeffrey Brown

Abstract read
In one paragraph

Article in EGEMS (Washington, DC), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. The US Food and Drug Administration Sentinel System: a national resource for a learning health system.Journal of the American Medical Informatics Association : JAMIA · 2022
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  6. An atomic approach to the design and implementation of a research data warehouse.Journal of the American Medical Informatics Association : JAMIA · 2022
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  7. Article
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  10. Leveraging the Capabilities of the FDA's Sentinel System To Improve Kidney Care.Journal of the American Society of Nephrology : JASN · 2020
    Review
  11. Article
  12. Article
  13. OnTrackNY's learning healthcare system.Journal of clinical and translational science · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors.

Melanie DaviesDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute.
Kyle EricksonDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute.
Zachary WynerDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute.
Jessica MalenfantDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute.
Rob RosenLincoln Peak Partners.
Jeffrey BrownDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe expanded availability of electronic health information has led to increased interest in distributed health data research networks. DISTRIBUTED RESEARCH NETWORK MODEL: The distributed research network model leaves data with and under the control of the data holder. Data holders, network coordinating centers, and researchers have distinct needs and challenges within this model. SOFTWARE ENABLED GOVERNANCE POPMEDNET: The concerns of network stakeholders are addressed in the design and governance models of the PopMedNet software platform. PopMedNet features include distributed querying, customizable workflows, and auditing and search capabilities. Its flexible role-based access control system enables the enforcement of varying governance policies. SELECTED CASE STUDIES: Four case studies describe how PopMedNet is used to enforce network governance models. ISSUES AND CHALLENGES: Trust is an essential component of a distributed research network and must be built before data partners may be willing to participate further. The complexity of the PopMedNet system must be managed as networks grow and new data, analytic methods, and querying approaches are developed.

conclusionsThe PopMedNet software platform supports a variety of network structures, governance models, and research activities through customizable features designed to meet the needs of network stakeholders.

Indexed as

Data OwnershipGovernanceHealth Information TechnologyInformaticsPlatformsResearch NetworksResearch Operations

Identifiers

PMID27141522
PMCPMC4827783

What OpenQuestion 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 OpenQuestion graph.