ID

41759

Description

This version of the GECCO logical model is based on https://art-decor.org/art-decor/decor-datasets--covid19f- on the "final" version published mid to end September 2020. For actual use of FHIR profiles, please use the profiles available on https://simplifier.net/ForschungsnetzCovid-19/ResearchDatasetGECCO/~overview (FHIR download on MDM is only a FHIR questionnaire profile). 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. 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

January 13, 2021

DOI

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License

Creative Commons BY 4.0

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

Epidemiologische Faktoren

Epidemiologische Faktoren
Description

Epidemiologische Faktoren

Alias
UMLS CUI-1
C0014501
Hatte der/die Patient*in in den letzten 14 Tagen vor Beginn seiner/ihrer Beschwerden wissentlich Kontakt mit einer wahrscheinlich oder nachgewiesenermaßen an COVID-19 erkrankten Person?
Description

Kommentar: FHIR-Mapping: Observation Versionsdatum: 2020-04-08

Data type

text

Alias
UMLS CUI [1,1]
C0332158
UMLS CUI [1,2]
C5203670
LOINC[1]
88636-6

Similar models

Epidemiologische Faktoren

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
Epidemiologische Faktoren
C0014501 (UMLS CUI-1)
Item
Hatte der/die Patient*in in den letzten 14 Tagen vor Beginn seiner/ihrer Beschwerden wissentlich Kontakt mit einer wahrscheinlich oder nachgewiesenermaßen an COVID-19 erkrankten Person?
text
C0332158 (UMLS CUI [1,1])
C5203670 (UMLS CUI [1,2])
88636-6 (LOINC[1])
Code List
Hatte der/die Patient*in in den letzten 14 Tagen vor Beginn seiner/ihrer Beschwerden wissentlich Kontakt mit einer wahrscheinlich oder nachgewiesenermaßen an COVID-19 erkrankten Person?
CL Item
ja (ja)
840546002 (SNOMED CT[1])
C1705108 (UMLS CUI-1)
(Comment:de)
CL Item
nein (nein)
373067005 (SNOMED CT[1])
C1298908 (UMLS CUI-1)
(Comment:de)
CL Item
unbekannt (unbekannt)
unknown (2.16.840.1.113883.4.642.4.1048)
C0439673 (UMLS CUI-1)
(Comment:de)

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