The Clinical Emergency Data Registry : Structure, Use, and Limitations for Research
Copyright © 2023 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved..
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.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:83 |
|---|---|
| Enthalten in: |
Annals of emergency medicine - 83(2024), 5 vom: 22. Apr., Seite 467-476 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Lin, Michelle P [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Completed 22.04.2024 Date Revised 22.04.2024 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1016/j.annemergmed.2023.12.014 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM367673460 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM367673460 | ||
| 003 | DE-627 | ||
| 005 | 20240422232050.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240126s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.annemergmed.2023.12.014 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1383.xml |
| 035 | |a (DE-627)NLM367673460 | ||
| 035 | |a (NLM)38276937 | ||
| 035 | |a (PII)S0196-0644(23)01461-0 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Lin, Michelle P |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The Clinical Emergency Data Registry |b Structure, Use, and Limitations for Research |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 22.04.2024 | ||
| 500 | |a Date Revised 22.04.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Sharma, Dhruv |e verfasserin |4 aut | |
| 700 | 1 | |a Venkatesh, Arjun |e verfasserin |4 aut | |
| 700 | 1 | |a Epstein, Stephen K |e verfasserin |4 aut | |
| 700 | 1 | |a Janke, Alexander |e verfasserin |4 aut | |
| 700 | 1 | |a Genes, Nicholas |e verfasserin |4 aut | |
| 700 | 1 | |a Mehrotra, Abhi |e verfasserin |4 aut | |
| 700 | 1 | |a Augustine, James |e verfasserin |4 aut | |
| 700 | 1 | |a Malcolm, Bill |e verfasserin |4 aut | |
| 700 | 1 | |a Goyal, Pawan |e verfasserin |4 aut | |
| 700 | 1 | |a Griffey, Richard T |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Annals of emergency medicine |d 1984 |g 83(2024), 5 vom: 22. Apr., Seite 467-476 |w (DE-627)NLM012918288 |x 1097-6760 |7 nnns |
| 773 | 1 | 8 | |g volume:83 |g year:2024 |g number:5 |g day:22 |g month:04 |g pages:467-476 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1016/j.annemergmed.2023.12.014 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 83 |j 2024 |e 5 |b 22 |c 04 |h 467-476 | ||