What dataset should I use for healthcare research?

It depends on what kind of healthcare research you’re doing. The “best” dataset varies a lot by goal, disease area, geography, and whether you need structured clinical data, imaging, claims, genomics, or patient-reported outcomes.

Common choices by research type

1. Clinical outcomes / EHR-based research

• MIMIC-IV — ICU and hospital EHR data; widely used, strong for critical care, prediction, and retrospective studies.
• eICU Collaborative Research Database — multi-center ICU data, useful for benchmarking and generalization.
• OHDSI / OMOP-based data — best if you have access to a hospital/health system dataset mapped to OMOP for observational studies.

2. Claims / utilization / cost research

• IBM MarketScan — very common for insurance claims and utilization studies.
• Medicare claims — excellent for older adults and policy studies.
• Optum claims/EHR datasets — broad commercial data, often used for pharmacoepidemiology.

3. Public health / population studies

• NHANES — survey + labs + exam data, great for population health, risk factors, epidemiology.
• BRFSS — large survey data on behaviors and chronic disease.
• CDC WONDER — mortality and public health surveillance.

4. Imaging research

• ChestX-ray14, MIMIC-CXR, CheXpert — chest imaging tasks.
• TCIA — broad collection of medical imaging datasets.

5. Genomics / precision medicine

• TCGA — cancer genomics and clinical outcomes.
• dbGaP — controlled-access biomedical studies.
• UK Biobank — large-scale genetics + phenotype data, very powerful if you can access it.

6. Drug safety / adverse events

• FAERS — FDA adverse event reports.
• VigiBase — global pharmacovigilance, access-controlled.

7. Maternal/child health, rare diseases, specialty areas

• Often best to use disease-specific registries, society databases, or multi-site collaborative datasets.

How to choose

Pick a dataset based on:

• Research question: prediction, causal inference, descriptive epidemiology, benchmarking, etc.
• Population: ICU, outpatient, pediatrics, older adults, specific country.
• Data modality: structured EHR, imaging, notes, claims, genomics.
• Access constraints: public vs controlled access, IRB, DUA.
• Variables needed: outcomes, treatments, confounders, labs, timing.

Safe default recommendations

If you want a strong starting point:

• MIMIC-IV for EHR-based clinical research
• NHANES for population health
• UK Biobank for large-scale observational/genetic studies
• MIMIC-CXR or CheXpert for imaging

If you tell me:

1. your research question,
2. population (e.g., ICU, cancer, pediatrics), and
3. whether you need EHR, claims, imaging, or genomics,

I can recommend the most appropriate dataset(s) and help you find access links.