ID

41490

Description

This version of the GECCO dataset is mainly based on https://art-decor.org/art-decor/decor-datasets--covid19f- on the "final" version published mid to end September 2020. A few items implicated by comments/descriptions of items on art-decor have been added: "Datum der letzten Impfung" (date of last vaccination for all listed vaccinations), "Schweregrad" (Severity of Kidney Diseases), "Ort" (Location of vacation in the last 14 days), "Befund bildgebender Verfahren im Rahmen von COVID-19" added separately for all types of imaging procedures listed, "Symptom Schweregrad" (Severity of Symptoms) for each symptom listed, and an "NCT-/EudraCT-Nummer" item for Study participation. Official German text from http://cocos.team/datasets.html: Zur Bewältigung der aktuellen Pandemie und der damit einhergehenden Behandlung von Patienten fördert das Bundesministerium für Bildung und Forschung (BMBF) ein nationales Netzwerk der Universitätsmedizin im Kampf gegen COVID-19. Unter anderem soll das Netzwerk die Daten der behandelten COVID-19 Patienten systematisch erfassen und bündeln. Die Forschenden sollen die Behandlung der COVID-19-Patienten standardisiert erheben, verfolgen und analysieren. Die hohe Bedrohungslage hat zu intensiver wissenschaftlicher Aktivität zu COVID-19 geführt, wozu zahlreiche regionale, nationale und internationale epidemiologische Erhebungen und Registerstudien zählen. Der Konsensusdatensatz gibt der Wissenschaft um COVID-19 eine gemeinsame Sprache und Arbeitsgrundlage. Inofficial translation: In order to cope with the current pandemic and the associated treatment of patients, the Federal Ministry of Education and Research (BMBF) is funding a national network of university medicine in the fight against COVID-19. Among other things, the network will systematically collect and bundle the data of the treated COVID-19 patients. The researchers are to collect, track and analyze the treatment of COVID-19 patients in a standardized way. The high threat level has led to intensive scientific activity on COVID-19, including numerous regional, national and international epidemiological surveys and register studies. The consensus data set provides a common language and working basis for the science around COVID-19. Additional source: https://simplifier.net/ForschungsnetzCovid-19/ResearchDatasetGECCO/~overview Not yet integrated: Items for "Data Absent Reason", "Certainty of Presence", "Uncertainty of Presence", and "Certainty of absence"; "therapeutic intention", "Medication Statement Status", "EventStatus"; longer versions of the ValueSets published separately from the variables in art-decor.

Link

https://art-decor.org/art-decor/decor-datasets--covid19f-

Keywords

  1. 9/29/20 9/29/20 - Sarah Riepenhausen
  2. 9/29/20 9/29/20 - Sarah Riepenhausen
  3. 10/9/20 10/9/20 -
  4. 10/28/20 10/28/20 -
  5. 1/13/21 1/13/21 - Sarah Riepenhausen
  6. 2/3/21 2/3/21 - Sarah Riepenhausen
  7. 2/3/21 2/3/21 - Sarah Riepenhausen
  8. 8/25/21 8/25/21 - Sarah Riepenhausen
  9. 9/2/21 9/2/21 - Sarah Riepenhausen
  10. 9/6/21 9/6/21 - Sarah Riepenhausen
  11. 1/5/23 1/5/23 - Sarah Riepenhausen
Copyright Holder

Nationales Forschungsnetzwerk der Universitätsmedizin zu Covid-19

Uploaded on

October 28, 2020

DOI

To request one please log in.

License

Creative Commons BY 4.0

Model comments :

You can comment on the data model here. Via the speech bubbles at the itemgroups and items you can add comments to those specificially.

Itemgroup comments for :

Item comments for :

In order to download data models you must be logged in. Please log in or register for free.

GECCO - German Corona Consensus - Covid-19 Research-Dataset

Bildgebung

Bildgebung
Description

Bildgebung

Alias
UMLS CUI-1
C0011923
Bildgebungsverfahren der Lunge im Rahmen von Covid-19 CT
Description

Kommentar: FHIR-Mapping: Procedure Operationalisierung: CT | Röntgen Versionsdatum: 2020-04-08

Data type

boolean

Alias
UMLS CUI [1]
C0011923
UMLS CUI [2]
C5203670
UMLS CUI [3]
C0040405
SNOMED CT[1]
363679005
SNOMED CT[2]
77477000
DICOM Controlled Terminology
CT
Befund Bildgebender Verfahren im Rahmen von Covid-19: CT
Description

Kommentar: FHIR-Mapping: DiagnosticReport Versionsdatum: 2020-04-08 Hinweis: dieses Item gibt es in art-decor ein Mal. Hier für jede Bildgebung wiederholt.

Data type

text

Alias
UMLS CUI [1]
C5203670
UMLS CUI [2,1]
C1290916
UMLS CUI [2,2]
C0040405
SNOMED CT[1]
118247008
SNOMED CT[2]
77477000
Bildgebungsverfahren der Lunge im Rahmen von Covid-19 Röntgen
Description

Kommentar: FHIR-Mapping: Procedure Operationalisierung: CT | Röntgen Versionsdatum: 2020-04-08

Data type

boolean

Alias
UMLS CUI [1]
C0011923
UMLS CUI [2]
C5203670
UMLS CUI [3]
C1962945
SNOMED CT[1]
363679005
SNOMED CT[2]
168537006
DICOM Controlled Terminology
RG
Befund Bildgebender Verfahren im Rahmen von Covid-19: Röntgen
Description

Kommentar: FHIR-Mapping: DiagnosticReport Versionsdatum: 2020-04-08 Hinweis: dieses Item gibt es in art-decor ein Mal. Hier für jede Bildgebung wiederholt.

Data type

text

Alias
UMLS CUI [1]
C5203670
UMLS CUI [2,1]
C1290916
UMLS CUI [2,2]
C1962945
SNOMED CT[1]
118247008
SNOMED CT[2]
168537006
Bildgebungsverfahren der Lunge im Rahmen von Covid-19 US
Description

Kommentar: FHIR-Mapping: Procedure Operationalisierung: CT | Röntgen Versionsdatum: 2020-04-08

Data type

boolean

Alias
UMLS CUI [1]
C0011923
UMLS CUI [2]
C5203670
UMLS CUI [3]
C0041618
SNOMED CT[1]
363679005
SNOMED CT[2]
16310003
DICOM Controlled Terminology
US
Befund Bildgebender Verfahren im Rahmen von Covid-19: US
Description

Kommentar: FHIR-Mapping: DiagnosticReport Versionsdatum: 2020-04-08 Hinweis: dieses Item gibt es in art-decor ein Mal. Hier für jede Bildgebung wiederholt.

Data type

text

Alias
UMLS CUI [1]
C5203670
UMLS CUI [2,1]
C1290916
UMLS CUI [2,2]
C0041618
SNOMED CT[1]
118247008
SNOMED CT[2]
16310003

Similar models

Bildgebung

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
Bildgebung
C0011923 (UMLS CUI-1)
Bildgebungsverfahren: CT
Item
Bildgebungsverfahren der Lunge im Rahmen von Covid-19 CT
boolean
C0011923 (UMLS CUI [1])
C5203670 (UMLS CUI [2])
C0040405 (UMLS CUI [3])
363679005 (SNOMED CT[1])
77477000 (SNOMED CT[2])
CT (DICOM Controlled Terminology)
Item
Befund Bildgebender Verfahren im Rahmen von Covid-19: CT
text
C5203670 (UMLS CUI [1])
C1290916 (UMLS CUI [2,1])
C0040405 (UMLS CUI [2,2])
118247008 (SNOMED CT[1])
77477000 (SNOMED CT[2])
Code List
Befund Bildgebender Verfahren im Rahmen von Covid-19: CT
CL Item
Unspezifischer Befund (Unspezifischer Befund)
C0243095 (UMLS CUI-1)
C0750540 (UMLS CUI-2)
CL Item
Covid-typischer Befund (Covid-typischer Befund)
C0243095 (UMLS CUI-1)
C3538928 (UMLS CUI-2)
C5203670 (UMLS CUI-3)
CL Item
Normalbefund (Normalbefund)
C0243095 (UMLS CUI-1)
C0205307 (UMLS CUI-2)
Bildgebungsverfahren: Röntgen
Item
Bildgebungsverfahren der Lunge im Rahmen von Covid-19 Röntgen
boolean
C0011923 (UMLS CUI [1])
C5203670 (UMLS CUI [2])
C1962945 (UMLS CUI [3])
363679005 (SNOMED CT[1])
168537006 (SNOMED CT[2])
RG (DICOM Controlled Terminology)
Item
Befund Bildgebender Verfahren im Rahmen von Covid-19: Röntgen
text
C5203670 (UMLS CUI [1])
C1290916 (UMLS CUI [2,1])
C1962945 (UMLS CUI [2,2])
118247008 (SNOMED CT[1])
168537006 (SNOMED CT[2])
Code List
Befund Bildgebender Verfahren im Rahmen von Covid-19: Röntgen
CL Item
Unspezifischer Befund (Unspezifischer Befund)
C0243095 (UMLS CUI-1)
C0750540 (UMLS CUI-2)
(Comment:de)
CL Item
Covid-typischer Befund (Covid-typischer Befund)
C0243095 (UMLS CUI-1)
C0332290 (UMLS CUI-2)
C5203670 (UMLS CUI-3)
(Comment:de)
CL Item
Normalbefund (Normalbefund)
C0243095 (UMLS CUI-1)
C0205307 (UMLS CUI-2)
(Comment:de)
Bildgebungsverfahren: US
Item
Bildgebungsverfahren der Lunge im Rahmen von Covid-19 US
boolean
C0011923 (UMLS CUI [1])
C5203670 (UMLS CUI [2])
C0041618 (UMLS CUI [3])
363679005 (SNOMED CT[1])
16310003 (SNOMED CT[2])
US (DICOM Controlled Terminology)
Item
Befund Bildgebender Verfahren im Rahmen von Covid-19: US
text
C5203670 (UMLS CUI [1])
C1290916 (UMLS CUI [2,1])
C0041618 (UMLS CUI [2,2])
118247008 (SNOMED CT[1])
16310003 (SNOMED CT[2])
Code List
Befund Bildgebender Verfahren im Rahmen von Covid-19: US
CL Item
Unspezifischer Befund (Unspezifischer Befund)
C0243095 (UMLS CUI-1)
C0750540 (UMLS CUI-2)
CL Item
Covid-typischer Befund (Covid-typischer Befund)
C0243095 (UMLS CUI-1)
C3538928 (UMLS CUI-2)
C5203670 (UMLS CUI-3)
CL Item
Normalbefund (Normalbefund)
C0243095 (UMLS CUI-1)
C0205307 (UMLS CUI-2)

Please use this form for feedback, questions and suggestions for improvements.

Fields marked with * are required.

Do you need help on how to use the search function? Please watch the corresponding tutorial video for more details and learn how to use the search function most efficiently.

Watch Tutorial