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Example (synthetic) electronic health record data

dataset
posted on 2024-04-24, 07:59 authored by Steve HarrisSteve Harris, Wai Shing LaiWai Shing Lai

These data are modelled using the OMOP Common Data Model v5.3.

Correlated Data Source

  1. NG tube vocabularies

Generation Rules

  • The patient’s age should be between 18 and 100 at the moment of the visit.
  • Ethnicity data is using 2021 census data in England and Wales (Census in England and Wales 2021) .
  • Gender is equally distributed between Male and Female (50% each).
  • Every person in the record has a link in procedure_occurrence with the concept “Checking the position of nasogastric tube using X-ray”
  • 2% of person records have a link in procedure_occurrence with the concept of “Plain chest X-ray”
  • 60% of visit_occurrence has visit concept “Inpatient Visit”, while 40% have “Emergency Room Visit”

Notes

  • Version 0
  • Generated by man-made rule/story generator
  • Structural correct, all tables linked with the relationship
  • We used national ethnicity data to generate a realistic distribution (see below)

2011 Race Census figure in England and Wales

Ethnic Group : Population(%)

  • Asian or Asian British: Bangladeshi - 1.1
  • Asian or Asian British: Chinese - 0.7
  • Asian or Asian British: Indian - 3.1
  • Asian or Asian British: Pakistani - 2.7
  • Asian or Asian British: any other Asian background -1.6
  • Black or African or Caribbean or Black British: African - 2.5
  • Black or African or Caribbean or Black British: Caribbean - 1
  • Black or African or Caribbean or Black British: other Black or African or Caribbean background - 0.5
  • Mixed multiple ethnic groups: White and Asian - 0.8
  • Mixed multiple ethnic groups: White and Black African - 0.4
  • Mixed multiple ethnic groups: White and Black Caribbean - 0.9
  • Mixed multiple ethnic groups: any other Mixed or multiple ethnic background - 0.8
  • White: English or Welsh or Scottish or Northern Irish or British - 74.4
  • White: Irish - 0.9
  • White: Gypsy or Irish Traveller - 0.1
  • White: any other White background - 6.4
  • Other ethnic group: any other ethnic group - 1.6
  • Other ethnic group: Arab - 0.6

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