Evidence map›Paper›PMID 25850061›Full record

ArticleNature biotechnology2015

Federalist principles for healthcare data networks.

Kenneth D Mandl, Isaac S Kohane

Abstract read
In one paragraph

Article in Nature biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Cumulus: A federated EHR-based learning system powered by FHIR and AI.medRxiv : the preprint server for health sciences · 2024
    Article
  9. Article
  10. Article
  11. Phenomics and Robust Multiomics Data for Cardiovascular Disease Subtyping.Arteriosclerosis, thrombosis, and vascular biology · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications.IEEE access : practical innovations, open solutions · 2020
    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

2 authors.

Kenneth D MandlBoston Children's Hospital, Boston and Harvard Medical School, Boston, Massachusetts, USA.
Isaac S KohaneBoston Children's Hospital, Boston and Harvard Medical School, Boston, Massachusetts, USA.

Funding

Data Fusion: A Sustainable, Scalable, Open Source Registry Advancing PVD ResearchU01HL121518 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI ABMAN, STEVEN HERBERT, MANDL, KENNETH D. · 2014 to 2018
$9.3M
Instrumenting i2b2 for Improved Medication Research: Adding the Patient VoiceR01GM104303 · NIGMS · BOSTON CHILDREN'S HOSPITAL · PI MANDL, KENNETH D. · 2013 to 2016
$1.6M
Active Patient Participation in a Disease Registry for Comparative EffectivenessR01LM011185 · NLM · BOSTON CHILDREN'S HOSPITAL · PI MANDL, KENNETH D., WEITZMAN, ELISSA R · 2012 to 2014
$1.3M
NHLBI NIH HHS U01 HL121518NIGMS NIH HHS R01 GM104303NLM NIH HHS R01 LM011185
6 · The paper itself

Abstract

Applying federalist principles to networked health record data could facilitate realization of the potential of shared health data.

Indexed as

Models, OrganizationalComputer Communication NetworksConfidentialityElectronic Health RecordsInformation Storage and RetrievalInternetMedical Record Linkage

Identifiers

PMID25850061
PMCPMC4392383

What OpenQuestion holds

Textmetadata
LicenceTDM
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.