Evidence map›Paper›PMID 38128198›Full record

ArticleInternational journal of medical informatics2024

Implementation of a commercial federated network of electronic health record data to enable sponsor-initiated clinical trials at an academic medical center.

Thomas R Campion, Evan T Sholle, Sajjad Abedian, Xiaobo Fuld, Ryan McGregor, Alicia N Lewis, Lauren T Gripp, John P Leonard, Curtis L Cole

Abstract readCase Reports
In one paragraph

Article in International journal of medical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Automatic Population of the Case Report Forms for an International Multifactorial Adaptive Platform Trial Amid the COVID-19 Pandemic.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
    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

9 authors.

Thomas R CampionClinical & Translational Science Center, Weill Cornell Medicine, New York, NY, USA; Information Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA. Electronic address: thc2015@med.cornell.edu.
Evan T SholleInformation Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Sajjad AbedianInformation Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA.
Xiaobo FuldInformation Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA.
Ryan McGregorInformation Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA.
Alicia N LewisJoint Clinical Trials Office, Weill Cornell Medicine, New York, NY, USA.
Lauren T GrippJoint Clinical Trials Office, Weill Cornell Medicine, New York, NY, USA.
John P LeonardDepartment of Medicine, Weill Cornell Medicine, New York, NY, USA.
Curtis L ColeClinical & Translational Science Center, Weill Cornell Medicine, New York, NY, USA; Information Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA; Department of Medicine, Weill Cornell Medicine, New York, NY, USA.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384
6 · The paper itself

Abstract

backgroundA commercial federated network called TriNetX has connected electronic health record (EHR) data from academic medical centers (AMCs) with biopharmaceutical sponsors in a privacy-preserving manner to promote sponsor-initiated clinical trials. Little is known about how AMCs have implemented TriNetX to support clinical trials.

findingsAt our AMC over a six-year period, TriNetX integrated into existing institutional workflows enabled 402 requests for sponsor-initiated clinical trials, 14 % (n = 56) of which local investigators expressed interest in conducting. Although clinical trials administrators indicated TriNetX yielded unique study opportunities, measurement of impact of institutional participation in the network was challenging due to lack of a common trial identifier shared across TriNetX, sponsor, and our institution.

conclusionTo the best of our knowledge, this study is among the first to describe integration of a federated network of EHR data into institutional workflows for sponsor-initiated clinical trials. This case report may inform efforts at other institutions.

Indexed as

Academic Medical CentersElectronic Health RecordsHumansClinical trialsData warehouseElectronic health recordSecondary use

Identifiers

PMID38128198
PMCPMC10843646

What OpenQuestion holds

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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.