Synthetic EHR Datasets

Example Dataset

Example EHR Schema

Schema and example preview for datasets in this category, fetched from the blueprint API.

Variable Schema

Column Name	Type	Description
patient_id	string	Unique patient identifier
visit_date	string	Date of visit
age	number	Patient age
sex	string	Patient sex
diagnosis	string	Primary diagnosis
medication	string	Prescribed medication
lab_result_type	string	Type of lab test
lab_result_value	number	Lab result value

Data Preview

First 10 rows (preview only)

patient_id	visit_date	age	sex	diagnosis	medication	lab_result_type	lab_result_value
P000001	2024-01-10	65	Female	Type 2 Diabetes	Metformin	HbA1c	8.2
P000001	2024-03-15	65	Female	Type 2 Diabetes	Metformin	HbA1c	7.5
P000002	2024-02-20	58	Male	Hypertension	Lisinopril	Blood Pressure	140
P000003	2024-01-05	72	Female	COPD	Albuterol	Oxygen Saturation	92
P000004	2024-02-12	60	Male	Hyperlipidemia	Atorvastatin	LDL	155
P000005	2024-03-08	50	Female	Type 2 Diabetes	Insulin	Glucose	180
P000006	2024-01-25	72	Male	Heart Failure	Furosemide	BNP	450
P000007	2024-04-02	45	Female	Asthma	Albuterol	Peak Flow	350
P000008	2024-02-28	67	Male	Chronic Kidney Disease	Losartan	Creatinine	2.1
P000009	2024-04-10	63	Female	Type 2 Diabetes	Metformin	HbA1c	7.2

Reproduce This Dataset

Recreate this longitudinal EHR dataset in Python (Jupyter, Kaggle, or Google Colab) using the Syntherx SDK.

# Install Syntherx SDK
pip install syntherx

from syntherx import generate_dataset

df = generate_dataset(
    blueprint="ehr_longitudinal",
    rows=5000
)

df.to_csv("ehr_longitudinal.csv")

Use Cases

Longitudinal patient trajectory modeling
Disease progression analysis
Clinical decision support simulations

Privacy-Safe Synthetic Dataset

Contains no real patient data
Generated using statistical simulation
Designed for machine learning research