Evidence map›Paper›PMID 38276937›Full record

ArticleAnnals of emergency medicine2024

The Clinical Emergency Data Registry: Structure, Use, and Limitations for Research.

Michelle P Lin, Dhruv Sharma, Arjun Venkatesh, Stephen K Epstein, Alexander Janke, Nicholas Genes, Abhi Mehrotra, James Augustine, Bill Malcolm, Pawan Goyal and 1 more

Abstract read
In one paragraph

Article in Annals of emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

11 authors.

Michelle P LinDepartment of Emergency Medicine, Stanford University, Palo Alto, CA. Electronic address: mplin@stanford.edu.
Dhruv SharmaQuality Department, American College of Emergency Physicians, Irving, TX.
Arjun VenkateshDepartment of Emergency Medicine, Yale University, New Haven, CT.
Stephen K EpsteinDepartment of Emergency Medicine, Harvard Medical School, Boston, MA.
Alexander JankeVeterans Affairs Ann Arbor Healthcare System and University of Michigan, Ann Arbor, MI.
Nicholas GenesRonald O. Perelman Department of Emergency Medicine, NYU Grossman School of Medicine, New York, NY.
Abhi MehrotraDepartment of Emergency Medicine, University of North Carolina, Chapel Hill, NC.
James AugustineDepartment of Emergency Medicine, Wright State University, Dayton, OH.
Bill MalcolmQuality Department, American College of Emergency Physicians, Irving, TX.
Pawan GoyalQuality Department, American College of Emergency Physicians, Irving, TX.
Richard T GriffeyDepartment of Emergency Medicine, Washington University, St. Louis, MO.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Multicenter Study of the Emergency Department Trigger ToolR01HS027811 · AHRQ · WASHINGTON UNIVERSITY · PI GRIFFEY, RICHARD T, TODOROV, ALEXANDRE A · 2020 to 2023
$1.5M
PROAACT- Admin SupplementK23HL143042 · NHLBI · STANFORD UNIVERSITY · PI LIN, MICHELLE P · 2019 to 2023
$1.0M
Adapting and testing a deimplementation program in the Intensive Care UnitK01HL161026 · NHLBI · WASHINGTON UNIVERSITY · PI ABLORDEPPEY, ENYO · 2022 to 2024
$522k
AHRQ HHS R01 HS027811NCATS NIH HHS UL1 TR001863NHLBI NIH HHS K01 HL161026NHLBI NIH HHS K23 HL143042
6 · The paper itself

Abstract

The Clinical Emergency Data Registry (CEDR) is a qualified clinical data registry that collects data from participating emergency departments (EDs) in the United States for quality measurement, improvement, and reporting purposes. This article aims to provide an overview of the data collection and validation process, describe the existing data structure and elements, and explain the potential opportunities and limitations for ongoing and future research use. CEDR data are primarily collected for quality reporting purposes and are obtained from diverse sources, including electronic health records and billing data that are de-identified and stored in a secure, centralized database. The CEDR data structure is organized around clinical episodes, which contain multiple data elements that are standardized using common data elements and are mapped to established terminologies to enable interoperability and data sharing. The data elements include patient demographics, clinical characteristics, diagnostic and treatment procedures, and outcomes. Key limitations include the limited generalizability due to the selective nature of participating EDs and the limited validation and completeness of data elements not currently used for quality reporting purposes, including demographic data. Nonetheless, CEDR holds great potential for ongoing and future research in emergency medicine due to its large-volume, longitudinal, near real-time, clinical data. In 2021, the American College of Emergency Physicians authorized the transition from CEDR to the Emergency Medicine Data Institute, which will catalyze investments in improved data quality and completeness for research to advance emergency care.

Indexed as

Electronic Health RecordsEmergency Medical ServicesData CollectionEmergency Service, HospitalHumansRegistriesUnited States

Identifiers

PMID38276937
PMCPMC11627304

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.