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Synthetic Data Downloads

This page provides access to all synthetic datasets created for the AI in Healthcare curriculum. Each dataset is described below, with a download link and a summary of its fields and intended use.

Dataset Description Download Key Fields
AI_in_HealthCare_Dataset.csv A comprehensive synthetic dataset simulating Australian hospital patient records. Useful for ML tasks such as deterioration prediction, risk scoring, and exploring healthcare data in an Australian context. Download CSV Patient_ID, Age, Gender, Blood_Pressure, Heart_Rate, Temperature, Respiratory_Rate, Oxygen_Saturation, Diagnosis, Medication, Treatment_Duration, Insurance_Type, Doctor_Name, Hospital_Name, Lab_Test_Results, X_ray_Results, Surgery_Type, Recovery_Time, Allergies, Family_History, Patient_Satisfaction, AI_Diagnosis_Confidence, Indigenous_Status, Remoteness_Category, Adverse_Outcome, Deterioration_24h, Year, Pathology_Results, Vital_Signs_Score, Social_History, Aeromedical_Transport_Suitable, Lactate, NEWS_Score
aihw_injcat213_suppdatatables_bystate_v2_25112025.xlsx Supplementary synthetic tables based on Australian Institute of Health and Welfare injury data, by state. Useful for epidemiological analysis and public health exercises. Download Excel Multiple sheets: Each sheet contains columns such as State, Year, Injury Type, Age Group, Sex, Hospitalisations, Deaths, Rates, etc.

Dataset Details

AI_in_HealthCare_Dataset.csv

  • Purpose: Simulates realistic patient records for Australian hospitals, supporting exercises in ML, risk prediction, and healthcare analytics.
  • Fields:
    • Patient_ID, Age, Gender, Blood_Pressure, Heart_Rate, Temperature, Respiratory_Rate, Oxygen_Saturation
    • Diagnosis, Medication, Treatment_Duration, Insurance_Type, Doctor_Name, Hospital_Name
    • Lab_Test_Results, X_ray_Results, Surgery_Type, Recovery_Time, Allergies, Family_History
    • Patient_Satisfaction, AI_Diagnosis_Confidence, Indigenous_Status, Remoteness_Category
    • Adverse_Outcome, Deterioration_24h, Year, Pathology_Results, Vital_Signs_Score, Social_History
    • Aeromedical_Transport_Suitable, Lactate, NEWS_Score
  • Example Use Cases:
    • Predicting patient deterioration
    • Exploring social and demographic health factors
    • Simulating clinical decision support

aihw_injcat213_suppdatatables_bystate_v2_25112025.xlsx

  • Purpose: Provides synthetic injury and hospitalisation data by state, for public health and epidemiology exercises.
  • Fields:
    • Vary by sheet, but typically include: State, Year, Injury Type, Age Group, Sex, Hospitalisations, Deaths, Rates, etc.
  • Example Use Cases:
    • Analyzing injury trends by state
    • Comparing hospitalisation rates across demographics
    • Public health planning and resource allocation

For more information on how these datasets were generated, see the scripts in the scripts/ directory.