Evidence map›Paper›PMID 24821739›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Changing the research landscape: the New York City Clinical Data Research Network.

Rainu Kaushal, George Hripcsak, Deborah D Ascheim, Toby Bloom, Thomas R Campion, Arthur L Caplan, Brian P Currie, Thomas Check, Emme Levin Deland, Marc N Gourevitch and 12 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Analysis of a PCORnetCommunications medicine · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Towards cross-application model-agnostic federated cohort discovery.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Implementation of a Machine Learning Risk Prediction Model for Postpartum Depression in the Electronic Health Records.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    Article

9 more citing papers are in PubMed but not listed here.

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

22 authors.

Rainu KaushalWeill Cornell Medical College, New York, New York, USA NewYork-Presbyterian, New York, New York, USA.
George HripcsakColumbia University, New York, New York, USA.
Deborah D AscheimIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Toby BloomNew York Genome Center, New York, New York, USA.
Thomas R CampionWeill Cornell Medical College, New York, New York, USA.
Arthur L CaplanNew York University Langone Medical Center, New York, New York, USA.
Brian P CurrieMontefiore Medical Center/Albert Einstein College of Medicine, Bronx, New York, USA.
Thomas CheckHealthix, New York, New York, USA.
Emme Levin DelandNewYork-Presbyterian, New York, New York, USA.
Marc N GourevitchNew York University Langone Medical Center, New York, New York, USA.
Raffaella HartBiomedical Research Alliance of New York Institutional Review Board, Lake Success, New York, USA.
Carol R HorowitzIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Isaac KastenbaumNewYork-Presbyterian, New York, New York, USA.
Arthur Aaron LevinCenter for Medical Consumers, New York, New York, USA.
Alexander F H LowWeill Cornell Medical College, New York, New York, USA.
Paul MeissnerMontefiore Medical Center/Albert Einstein College of Medicine, Bronx, New York, USA.
Parsa MirhajiMontefiore Medical Center/Albert Einstein College of Medicine, Bronx, New York, USA.
Harold A PincusNewYork-Presbyterian, New York, New York, USA Columbia University, New York, New York, USA.
Charles ScaglioneBronx RHIO (Bronx Regional Informatics Center), Bronx, New York, USA.
Donna ShelleyNew York University Langone Medical Center, New York, New York, USA.
Jonathan N TobinClinical Directors Network, New York, New York, USA The Rockefeller University, New York, New York, USA.
NYC-CDRN

Funding

The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2014 to 2026
$21.3M
Core-010UL1TR001073 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, SHAMOON, HARRY · 2013 to 2017
$21.3M
Mount Sinai Institutes for Clinical and Translational SciencesUL1TR000067 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SAMPSON, HUGH A · 2012 to 2014
$16.5M
Disseminating Effective Community-Led Programs to Elimanate Diabetes DisparitiesR24MD001691 · NIMHD · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI HOROWITZ, CAROL R · 2005 to 2015
$6.0M
NCATS NIH HHS UL1 TR000067NCATS NIH HHS UL1 TR001073NIEHS NIH HHS P30 ES023515NIMHD NIH HHS R24 MD001691
6 · The paper itself

Abstract

The New York City Clinical Data Research Network (NYC-CDRN), funded by the Patient-Centered Outcomes Research Institute (PCORI), brings together 22 organizations including seven independent health systems to enable patient-centered clinical research, support a national network, and facilitate learning healthcare systems. The NYC-CDRN includes a robust, collaborative governance and organizational infrastructure, which takes advantage of its participants' experience, expertise, and history of collaboration. The technical design will employ an information model to document and manage the collection and transformation of clinical data, local institutional staging areas to transform and validate data, a centralized data processing facility to aggregate and share data, and use of common standards and tools. We strive to ensure that our project is patient-centered; nurtures collaboration among all stakeholders; develops scalable solutions facilitating growth and connections; chooses simple, elegant solutions wherever possible; and explores ways to streamline the administrative and regulatory approval process across sites.

Indexed as

Patient-Centered CareComputer Communication NetworksElectronic Health RecordsHumansInformation DisseminationNew York CityOutcome Assessment, Health Careclinical dataelectronic health recordPCORIPCORnetresearch dataresearch network

Identifiers

PMID24821739
PMCPMC4078297

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.