Evidence map›Paper›PMID 35047761›Full record

ArticleJAMIA open2022

Standardized Health data and Research Exchange (SHaRE): promoting a learning health system.

Sierra Davis, Louis Ehwerhemuepha, William Feaster, Jeffrey Hackman, Hiroki Morizono, Saravanan Kanakasabai, Abu Saleh Mohammad Mosa, Jerry Parker, Gary Iwamoto, Nisha Patel and 3 more

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in JAMIA open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Committing to genomic answers for all kids: Evaluating inequity in genomic research enrollment.Genetics in medicine : official journal of the American College of Medical Genetics · 2023
    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

13 authors.

Sierra DavisChildren's Mercy Research Institute, Children's Mercy Hospital, Kansas City, Missouri, USA.
Louis EhwerhemuephaDepartment of Pediatrics, Children's Hospital Orange County, Orange, California, USA.ORCID https://orcid.org/0000-0003-1369-7954
William FeasterDepartment of Pediatrics, Children's Hospital Orange County, Orange, California, USA.
Jeffrey HackmanDepartment of Emergency Medicine, Truman Medical Centers, Kansas City, Missouri, USA.
Hiroki MorizonoDepartment of Pediatrics, Children's National Hospital, Washington, District of Columbia, USA.
Saravanan KanakasabaiClinical Research Systems, Indiana University Health System, Indianapolis, Indiana, USA.
Abu Saleh Mohammad MosaResearch Informatics, University of Missouri, Columbia, Missouri, USA.ORCID https://orcid.org/0000-0002-8956-1466
Jerry ParkerResearch Informatics, University of Missouri, Columbia, Missouri, USA.
Gary IwamotoDepartment of Internal Medicine, University of New Mexico, Albuquerque, New Mexico, USA.
Nisha PatelChildren's Mercy Research Institute, Children's Mercy Hospital, Kansas City, Missouri, USA.
Gary GasparinoCerner Enviza, Cerner Corporation, Kansas City, Missouri, USA.
Natalie KaneChildren's Mercy Research Institute, Children's Mercy Hospital, Kansas City, Missouri, USA.
Mark A HoffmanChildren's Mercy Research Institute, Children's Mercy Hospital, Kansas City, Missouri, USA.ORCID https://orcid.org/0000-0003-3140-6524

Funding

Clinical and Translational Science Institute at Childrens NationalUL1TR001876 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI BELL, MICHAEL J · 2016 to 2021
$25.6M
NCATS NIH HHS UL1 TR001876
6 · The paper itself

Abstract

Aggregate de-identified data from electronic health records (EHRs) provide a valuable resource for research. The Standardized Health data and Research Exchange (SHaRE) is a diverse group of US healthcare organizations contributing to the Cerner Health Facts (HF) and Cerner Real-World Data (CRWD) initiatives. The 51 facilities at the 7 founding organizations have provided data about more than 4.8 million patients with 63 million encounters to HF and 7.4 million patients and 119 million encounters to CRWD. SHaRE organizations unmask their organization IDs and provide 3-digit zip code (zip3) data to support epidemiology and disparity research. SHaRE enables communication between members, facilitating data validation and collaboration as we demonstrate by comparing imputed EHR module usage to actual usage. Unlike other data sharing initiatives, no additional technology installation is required. SHaRE establishes a foundation for members to engage in discussions that bridge data science research and patient care, promoting the learning health system.

Indexed as

data sciencedata sharingelectronic health recordlearning health system

Identifiers

PMID35047761
PMCPMC8763030

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.