Sale!

A fully synthetic, hyper-realistic, and 100% HIPAA-compliant healthcare dataset designed for HealthTech startups, software developers, and QA teams.

The Healthcare/Patient Mock Database is a comprehensive dataset that simulates the complete lifecycle of patients—from birth to death—along with their entire medical history. Built specifically for development, testing, and demonstration purposes, this database includes 10,000+ patients, 180,000+ medical diagnoses, 500,000+ encounter records, 500,000+ medication prescriptions, and over 1,500,000+ laboratory results.

Please note: All personal identifiable information (PII) such as names, addresses, national IDs (SSNs), and contact details are 100% synthetic and computer-generated. There is zero risk of data privacy breaches.

🎯 Why Choose This Database?

When developing healthcare software, testing with real patient data violates HIPAA and GDPR regulations, while simple dummy data fails to cover complex medical scenarios. Here is how our mock database solves this:

  • 100% Synthetic & Risk-Free: Replaces the need for real patient data, ensuring total compliance with privacy laws.
  • Massive & Realistic: Goes beyond basic test data by providing deep, longitudinal medical histories for 10,000 patients.
  • Diverse Medical Conditions: Includes over 40 distinct disease categories for comprehensive scenario testing.
  • Standardized Coding: Features 1.5 million+ lab tests and procedures mapped to standard medical codes (LOINC, SNOMED-CT, etc.).
  • Complex Scenarios Included: Simulates complete patient timelines including outpatient visits, inpatient admissions, ICU stays, and discharges/fatalities.

📊 What’s Inside the Database? (Data Contents)

TableDescription
👥 PatientsComplete demographic profiles (Name, Age, Gender, Race, Address).
🏨 EncountersOutpatient, Inpatient, Emergency, ICU, and Telehealth visits.
🩺 ConditionsMedical diagnoses mapped with SNOMED-CT and ICD-10 codes.
💊 MedicationsPrescribed drugs including RxNorm codes, dosages, and instructions.
🧪 ObservationsLab results and vital signs standardly coded with LOINC.
💉 ImmunizationsChildhood to adulthood vaccines, including COVID-19.
⚠️ AllergiesDrug, food, and environmental allergies.
🏥 ProceduresSurgeries, diagnostic procedures, and ventilator usage.
📋 Care PlansTreatment plans, home isolation, and post-discharge care.
🩻 Imaging StudiesRecords of MRI, CT Scans, X-Rays, and Ultrasounds.
🔬 DevicesMedical equipment tracking (e.g., ventilators, breathing tubes).
🧤 SuppliesConsumables usage (gloves, masks, gowns).
👨‍⚕️ ProvidersDoctors, nurses, and healthcare staff records.
🏥 OrganizationsHospitals, clinics, and laboratories.
💰 Payers & ClaimsInsurance providers, claim records, and patient out-of-pocket costs.

🦠 Extensive Disease & Condition Coverage

Our dataset accurately simulates a wide spectrum of health conditions:

  • 🫀 Cardiovascular: Hypertension, Heart Failure, Myocardial Infarction, Cardiac Arrest, Atrial Fibrillation, Coronary Heart Disease, Stroke.
  • 🫁 Respiratory: COVID-19, Pneumonia, Asthma, COPD, Respiratory Distress, Hypoxemia, ARDS, Wheezing, Hemoptysis.
  • 🧠 Neurological & Psychiatric: Depression, Generalized Anxiety, ADHD, Dementia, Alzheimer’s, Drug Overdose, Headache.
  • 🩸 Metabolic & Endocrine: Diabetes (Type 1 & 2), Prediabetes, Obesity (BMI 30+), Hypothyroidism, Hyperthyroidism.
  • 🦴 Musculoskeletal: Osteoarthritis, Rheumatoid Arthritis, Osteoporosis, Lower Back Pain, Muscle & Joint Pain.
  • 🦠 Infectious Diseases: Sepsis, Septic Shock, Influenza, UTI, Sinusitis.
  • 👁️ Eye & Hearing: Cataracts, Glaucoma, Macular Degeneration, Diabetic Retinopathy, Hearing Loss.
  • 👶 Obstetrics & Gynecology: Pregnancy, Miscarriage, Gestational Diabetes, Preeclampsia, C-Section.
  • 🧬 Oncology (Cancers): Breast Cancer, Lung Cancer, Colorectal Cancer, Prostate Cancer, Melanoma, Leukemia.
  • 🦷 Dental: Impacted Molars, Periodontitis, Dental Caries.

🧪 Laboratory Data (LOINC Mapped)

Includes over 1.5 million lab results with standardized coding, including:

  • D-dimer (48065-7)
  • IL-6 (26881-3)
  • Serum Ferritin (2276-4)
  • Cardiac Troponin I (89579-7)
  • Lymphocytes (731-0)
  • LDH (14804-9)
  • Blood Glucose (2339-0)
  • HbA1c (4548-4)
  • Cholesterol (2093-3)
  • CBC Panel (58410-2)
  • + Hundreds of other tests with official LOINC standards.

👤 Who is this Database For?

  • 🧑‍💻 Full-Stack Developers: Test healthcare APIs, dashboards, and patient portals.
  • 🏢 HealthTech Startups: Safely demo products to investors without HIPAA compliance risks.
  • 🧪 QA & Security Teams: Perform load testing, performance evaluation, and penetration testing safely.
  • 🎓 Students & Researchers: Ideal for biomedical engineering, IT health theses, and academic projects.
  • 📊 Data Analysts: Build, train, and test predictive Machine Learning (ML) models.
  • 🏥 Healthcare Software Companies: Develop and benchmark HIS, EHR, and EMR systems.
  • 🦷 Dental Software Developers: Test practice management software.
  • 💊 e-Prescription Programmers: Test digital pharmacies and electronic prescribing pipelines.

❓ Frequently Asked Questions (FAQ)

Are these real patients? No. Every single record is procedurally generated by a simulation engine. There is zero connection to real human beings.

Can I use this database in a production environment or commercial software? Yes. This dataset is specifically designed for production testing, client demos, and training. It carries absolutely no legal or privacy risks.

Are the medical codes accurate? Yes. All terminology is mapped to official medical standards including SNOMED-CT, ICD-10, LOINC, RxNorm, and CPT.

🔗 Technical Specifications

  • Product: Full Lifecycle Patient Medical Records Database
  • Product Code: db07
  • Release Year: 2026
  • Standards Included: SNOMED-CT, ICD-10, LOINC, RxNorm, CPT
  • Language: English
  • Output Format: CSV (UTF-8)
  • File Count: 16 separate relational tables
  • File Size: ~500 MB

Reviews

There are no reviews yet.

Only logged in customers who have purchased this product may leave a review.

Reviews

There are no reviews yet.

Only logged in customers who have purchased this product may leave a review.