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Basic Synthetic Patient Data Generator

A synthetic patient population can be generated using this built-in generator module, as an alternative to generating patient data using Synthea. This option supports only a small number of scenarios (see below) but is very performant.

Generating Patient Data

From the root of the project the following command will generate about 1.2 million patients, it takes about one minute.

java -Xms3g -jar generator/target/generator*.jar

Command options:

  • --population-size Optional. Defaults to 1,248,322.
  • --longitudinal Optional. Generates longitudinal data set. This option ignores the population size.

The generated population will be written in native bulk NDJSON format to a directory named patient-data-for-import.

Synthesised Patient Scenarios

In the "concepts used" section "<<" shows that a concept was picked randomly from a set including the specified concept and all its descendants.

Demographic:

  • All patients are over the age of 30 and under the age of 85.
  • Male/Female split is 50/50.

Longitudinal Data Set

This data set can be generated using the --longitudinal option. Data is generated for the years 2000-2020 with patient counts for the following disorders:

  • Asthma
  • Dementia
  • COPD
  • Osteoporosis
  • Diabetes Type 1
  • Diabetes Type 2

If the longitudinal option is not used then all the following scenarios will be used instead.

Rheumatoid Arthritis, COPD

  • 12% of patients have COPD
    • No medication prescribed
      • After 1-6 months 2% have Bacterial pneumonia
  • 6% of patients have RA
    • 50% of these are given an Anti-TNF agent
      • After 1-6 months 4% have Bacterial pneumonia
    • Remaining 50% - No medication prescribed
      • After 1-6 months 0.5% have Bacterial pneumonia
  • 0.12% of patients have both RA and COPD
    • 10% of these are given an Anti-TNF agent
      • After 1-6 months 10% have Bacterial pneumonia
    • Remaining 90% - No medication prescribed
      • After 1-6 months 2% have Bacterial pneumonia
  • Concepts used:
    • << 69896004 |Rheumatoid arthritis (disorder)|
    • << 13645005 |Chronic obstructive lung disease (disorder)|
    • << 416897008 |Product containing tumor necrosis factor alpha inhibitor (product)|
    • << 53084003 |Bacterial pneumonia (disorder)|

Afib, Peptic Ucler

  • Patients have either Afib or Peptic Ucler or both
    • Some are prescribed an Antiplatelet agent
      • Increased risk of CVA
      • Possible UGIB
  • Concepts used:
    • Afib: << 49436004 |Atrial fibrillation (disorder)|
    • Peptic Ulcer: << 13200003 |Peptic ulcer (disorder)|
    • Antiplatelet Agent: << 108972005 |Medicinal product acting as antiplatelet agent (product)|
    • CVA: 230690007 |Cerebrovascular accident (disorder)|
    • UGIB: 37372002 |Upper gastrointestinal hemorrhage (disorder)|

Pulm Embolus, GI Ulcer

  • Patients have either Pulm Embolus or GI Ulcer or both
    • Some are prescribed an AntiCoagulant agent
      • Affects risk of GI bleed
  • Concepts used:
    • Pulm Embolus: << 233935004 |Pulmonary thromboembolism (disorder)|
    • GI Ulcer: << 40845000 |Gastrointestinal ulcer (disorder)|
    • AntiCoag agent: << 48603004 |Product containing warfarin (medicinal product)|
    • GI bleed: << 74474003 |Gastrointestinal hemorrhage (disorder)|

BRCA1 gene

  • 0.2% female patients have BRCA1 gene
    • Some are prescribed a tamoxifen drug
      • Affects stats with Breast cancer
  • Concepts used:
    • BRCA1 gene: 412734009 |BRCA1 gene mutation positive (finding)|
    • Tamoxifen drug: 75959001 |Product containing tamoxifen (medicinal product)|
    • Breast cancer: 254837009 |Malignant neoplasm of breast (disorder)|

Diabetics, Smoking

  • Patients have type 2 diabetes
    • Some smoke
      • Affects stats on foot amputation
  • Concepts used:
    • type 2 diabetes: << 44054006 |Diabetes mellitus type 2 (disorder)|
    • Smoker: << 77176002 |Smoker (finding)|
    • Foot amputation: << 180030006 |Amputation of the foot (procedure)|

Myo, Lymph

  • Patients have B-cell lymphoma or Myocardial disease or both
    • Some are prescribed anthracycline
      • Affects stats of CHF
  • Concepts used:
    • << 109979007 |B-cell lymphoma (disorder)|
    • << 57809008 |Myocardial disease (disorder)|
    • << 108787006 |Medicinal product containing anthracycline and acting as antineoplastic agent (product)|
    • << 42343007 |Congestive heart failure (disorder)|

Breast Cancer

  • 9.7% of Female patients between 60 and 79
  • 53% are group A, the rest group B
  • Group A have mammography screening once a year
    • Chance of abnormal screening 6.5%
      • Chance of abnormal diagnostic 49.2%
        • Chance of positive biopsy 17%
          • Chance of stage 1 42%
          • Chance of stage 2 36%
          • Otherwise DCIS
  • Group B have mammography screening once every two years
    • Chance of abnormal screening 6.5%
      • Chance of abnormal diagnostic 36.9%
        • Chance of positive biopsy 22%
          • Chance of stage 1 39%
          • Chance of stage 2 42%
          • Otherwise DCIS
  • Concepts used
    • Screening: 384151000119104 | Screening mammography of bilateral breasts (procedure) |
    • Abnormal screening: << 171176006 | Breast neoplasm screening abnormal (finding) |
    • ... leads to diagnostic: 566571000119105 | Mammography of right breast (procedure) |
    • Abnormal diagnostic: << 274530001 | Abnormal findings on diagnostic imaging of breast (finding) |
    • ... leads to biopsy: 122548005 | Biopsy of breast (procedure) |
    • Positive biopsy: 165325009 | Biopsy result abnormal (finding) |
    • Stage 1: 422399001 | Infiltrating ductal carcinoma of breast, stage 1 (finding) |
    • Stage 2: 422479008 | Infiltrating ductal carcinoma of breast, stage 2 (finding) |
    • DCIS: 397201007 | Microcalcifications present in ductal carcinoma in situ (finding) |