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Research-Ready Healthcare Data
EHR datasets and real-world data for research and AI
BCONZ provides de-identified EHR datasets and longitudinal patient data from US EMR/EHR sources — across ophthalmology, nephrology, neurology, respiratory, metabolic and immunology — alongside genomic, imaging and other real-world data through governed healthcare data partnerships.
Explore how these data capabilities support life sciences and healthcare AI solutions, or discuss an institution-led collaboration through our healthcare data partnership pathway.
Data ecosystem
A research data platform that brings clinical, molecular, imaging and real-world sources together for purpose-built science.
Governed access
Access is granted only for approved scientific studies and defined research use.
Research-ready quality
Data is curated, linked and reviewed to support reliable research workflows.
Research Data Ecosystem
Modern research combines multiple data modalities
The strongest scientific programs connect clinical, molecular, imaging and real-world sources rather than relying on isolated datasets.
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Clinical Data
↓2
Genomics
↓3
Multiomics
↓4
Medical Imaging
↓5
Digital Pathology
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Real World Data
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Research Insights
Research Data Modalities
Data types built for scientific collaboration
Research-ready healthcare data is organized for researchers, sponsors and healthcare organizations through governed collaboration, not open-ended data brokerage.
Longitudinal Clinical Data
Patient journeys, encounters, diagnoses and treatment histories assembled for research-ready cohorts.
Typical Research Uses
- Outcome studies
- Cohort definition
- Epidemiology
Genomics
Sequencing, variant calls and sample metadata paired with clinical context for precision discovery.
Typical Research Uses
- Target identification
- Biomarker research
- Population genomics
Transcriptomics
RNA expression profiles linked to sample and clinical data for functional and translational studies.
Typical Research Uses
- Gene expression analysis
- Pathway modeling
- Disease stratification
Proteomics
Protein measurements curated with sample provenance for mechanism research and therapeutic discovery.
Typical Research Uses
- Target validation
- Biological signatures
- Drug response modeling
Medical Imaging
Radiology and clinical imaging datasets prepared for advanced visual analytics and AI training.
Typical Research Uses
- Imaging biomarkers
- Model development
- Phenotype extraction
Digital Pathology
High-resolution pathology data aligned with clinical endpoints for research-grade histopathology studies.
Typical Research Uses
- Tissue phenotyping
- Algorithm validation
- Digital diagnostics
Biospecimens
Linked specimen metadata and provenance information that support translational research and assay development.
Typical Research Uses
- Biomarker discovery
- Sample tracking
- Translational studies
Real World Data
Claims, device, and longitudinal care records curated to complement clinical and molecular datasets.
Typical Research Uses
- Health economics
- Patient journey analysis
- Post-market research
Datasets by Disease Area and Modality
EHR and medical imaging datasets
De-identified US EMR/EHR data by disease area, and medical imaging with reports through early access. The cohort for each study is confirmed during feasibility.
Ophthalmology datasets
- Age-related macular degeneration
- Diabetic retinopathy
- Glaucoma
Neurology datasets
- Migraine
- Multiple sclerosis
- Alzheimer's disease and related dementias
- Myasthenia gravis
Nephrology datasets
- Chronic kidney disease
Respiratory datasets
- Chronic obstructive pulmonary disease
- Asthma
Metabolic datasets
- Metabolic dysfunction-associated steatohepatitis
Immunology datasets
- Inflammatory bowel disease
Medical imaging datasets
- X-ray
- CT
- MRI
- Ultrasound
- Echocardiography
Other areas — including oncology, cardiology, rare diseases, women's health, infectious disease — are available on request through partner networks. Tell us what you need.
How Licensing Works
From request to licence in five steps
Every licence traces back to the data owner, with clear rights and provenance. BCONZ does the work around it: sourcing, feasibility, quality checks and compliance.
1
Share your need
Modality, cohort, volume and intended use.
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NDA
A mutual NDA with evaluation terms, then the detailed catalogue.
3
Free sample
Check a sample against your criteria before you commit.
4
Quote
Indicative pricing by volume tier.
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License
Sign the licence, with the data owner directly or through BCONZ, and receive the data.
Licence Models
Licences that fit how you use the data
Per study, by volume tier
The default for most buyers.
Subscription
A regular refresh of new data, to keep models current.
Validation sets
Curated test sets for external and regulatory validation.
Academic research
Research-only use at a small flat fee.
Time-limited exclusivity
One licensee, for a limited time and field.
Custom Cohorts
Custom cohorts, built to your specification
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Spec
Inclusion criteria, modalities, volume and format.
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Feasibility
Counts across our network before any commitment.
3
QC sample
A small sample to check against your criteria.
4
Tranches
Delivery in batches as each source is cleared.
Cohorts we source include rare paired imaging studies, CT cohorts by indication, oncology tumour and ctDNA sequencing with outcomes, and longitudinal clinical records.
Quality and Compliance
Quality and compliance you can rely on
Quality checks
- DICOM integrity and series completeness
- Image–report matching
- Metadata and slice thickness checked against your spec
- Headers and files scanned for identifiers
- Source provenance and consent documents reviewed
Compliance
- De-identification to HIPAA Safe Harbor
- Screening under the US DOJ bulk sensitive data rule, plus sanctions screening
- Clear licence scope: use, term and territory
- Evaluation samples under NDA, deleted within 90 days
- Approved cloud processing, with no onward transfer
Who We Support
Research and development partners across the enterprise
A platform designed for pharmaceutical sponsors, biotech innovators, healthcare AI teams and academic research programs.
Pharmaceutical
Biotechnology
Healthcare AI
Academic Research
CRO
Medical Devices
Frequently Requested Data
Modern FAQs for research-ready datasets
Accessible answers to common research questions about cohort design, governance and collaboration. For a specific study, use the research data request form.
What is de-identified EHR data?
Electronic health record data from which direct identifiers have been removed and quasi-identifiers controlled, so records can be used for approved research without identifying patients. BCONZ datasets are de-identified before research use under the data partner's governance.
Can I buy or license EHR datasets from BCONZ?
Yes. Each dataset is licensed from its data owner, directly or through BCONZ, for a defined research or development purpose, after a feasibility review confirms the cohort fits your study. BCONZ does not host the data; it is delivered under the licence. Datasets are not free downloads.
Can BCONZ create custom cohorts?
Yes. We work with research teams and healthcare partners to define study cohorts from available data modalities while preserving governance and scientific fit.
Do you support longitudinal studies?
Longitudinal patient histories are a core part of our research-ready datasets, enabling studies over time and outcomes analysis.
Can genomic data be linked?
Genomic and molecular data can be linked to clinical and outcomes records within trusted data partnerships.
How are research projects reviewed?
Each project is reviewed for purpose, governance, data suitability and partner commitments before work begins.
Can multiple institutions collaborate?
Yes. We support collaboration across hospitals, research centers and life sciences organizations through governed data partnerships.
Ready to Explore Research Data?