ID

41490

Descrição

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-

Palavras-chave

  1. 29/09/2020 29/09/2020 - Sarah Riepenhausen
  2. 29/09/2020 29/09/2020 - Sarah Riepenhausen
  3. 09/10/2020 09/10/2020 -
  4. 28/10/2020 28/10/2020 -
  5. 13/01/2021 13/01/2021 - Sarah Riepenhausen
  6. 03/02/2021 03/02/2021 - Sarah Riepenhausen
  7. 03/02/2021 03/02/2021 - Sarah Riepenhausen
  8. 25/08/2021 25/08/2021 - Sarah Riepenhausen
  9. 02/09/2021 02/09/2021 - Sarah Riepenhausen
  10. 06/09/2021 06/09/2021 - Sarah Riepenhausen
  11. 05/01/2023 05/01/2023 - Sarah Riepenhausen
Titular dos direitos

Nationales Forschungsnetzwerk der Universitätsmedizin zu Covid-19

Transferido a

28 de outubro de 2020

DOI

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Licença

Creative Commons BY 4.0

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

Outcome bei Entlassung

Outcome bei Entlassung
Descrição

Outcome bei Entlassung

Alias
UMLS CUI-1
C1547647
UMLS CUI-2
C0030685
Respiratorisches Outcome
Descrição

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

Tipo de dados

text

Alias
UMLS CUI [1,1]
C1547647
UMLS CUI [1,2]
C0035237
SNOMED CT[1]
444932008
Entlassungsart
Descrição

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

Tipo de dados

text

Alias
UMLS CUI [1,1]
C0030685
UMLS CUI [1,2]
C0332307
LOINC[1]
55128-3
Ergebnis Folgeabstrich
Descrição

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

Tipo de dados

text

Alias
UMLS CUI [1,1]
C1274040
UMLS CUI [1,2]
C0183753
UMLS CUI [1,3]
C1522577

Similar models

Outcome bei Entlassung

Name
Tipo
Description | Question | Decode (Coded Value)
Tipo de dados
Alias
Item Group
Outcome bei Entlassung
C1547647 (UMLS CUI-1)
C0030685 (UMLS CUI-2)
Item
Respiratorisches Outcome
text
C1547647 (UMLS CUI [1,1])
C0035237 (UMLS CUI [1,2])
444932008 (SNOMED CT[1])
Code List
Respiratorisches Outcome
CL Item
Beatmet Ja (Beatmet Ja)
410605003 (SNOMED CT[1])
C0199470 (UMLS CUI-1)
(Comment:de)
CL Item
Beatmet Nein (Beatmet Nein)
410594000 (SNOMED CT[1])
C0199470 (UMLS CUI-1)
C1298908 (UMLS CUI-2)
(Comment:de)
Item
Entlassungsart
text
C0030685 (UMLS CUI [1,1])
C0332307 (UMLS CUI [1,2])
55128-3 (LOINC[1])
Code List
Entlassungsart
CL Item
Lebend entlassen (Lebend entlassen)
371827001 (SNOMED CT[1])
C1299454 (UMLS CUI-1)
(Comment:de)
CL Item
Krankenhauseinweisung (Krankenhauseinweisung)
32485007 (SNOMED CT[1])
C0184666 (UMLS CUI-1)
(Comment:de)
CL Item
Tod (Tod)
419099009 (SNOMED CT[1])
C0011065 (UMLS CUI-1)
(Comment:de)
CL Item
Palliative Entlassung (Palliative Entlassung)
306237005 (SNOMED CT[1])
C0030685 (UMLS CUI-1)
C1285530 (UMLS CUI-2)
(Comment:de)
CL Item
Nicht bekannt (Nicht bekannt)
261665006 (SNOMED CT[1])
C0439673 (UMLS CUI-1)
(Comment:de)
CL Item
Überweisung in eine andere Einrichtung (Überweisung in eine andere Einrichtung)
Item
Ergebnis Folgeabstrich
text
C1274040 (UMLS CUI [1,1])
C0183753 (UMLS CUI [1,2])
C1522577 (UMLS CUI [1,3])
Code List
Ergebnis Folgeabstrich
CL Item
Pos (Pos)
260373001 (SNOMED CT[1])
C1446409 (UMLS CUI-1)
(Comment:de)
CL Item
Neg (Neg)
260415000 (SNOMED CT[1])
C0205160 (UMLS CUI-1)
(Comment:de)

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