NanoSense
Hospitals and health systems
One intelligence layer across every department
Hospital data is fragmented across EHRs, labs, imaging, and departments. NanoSense unifies it behind a single RAG API so clinicians get answers that cite the record at the point of care, without leaving their existing systems.
- Capabilities
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- Multi-tenant isolation for departments and affiliated entities
- SMART on FHIR integration with existing EHRs
- Dedicated infrastructure and custom SLAs (Enterprise)
- Typical use cases
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- Clinical questions from inpatient teams, answered from the record
- Cross-department patient summaries at handoff
- Radiology report retrieval and interpretation support
- System-wide audit trail for every AI-assisted answer
Clinics and primary care
More time with patients, less time in the chart
Primary care runs on context: chronic conditions, medication changes, and follow-ups across years of visits. NanoSense gives small teams the same retrieval power as a large health system, at a price that fits a clinic.
- Capabilities
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- Universal CSV import: bring your data from any EMR
- Fast-mode answers at a fraction of the cost
- No infrastructure to manage: fully hosted
- Typical use cases
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- Pre-visit summaries for chronic disease management
- Medication and allergy history pulled from the record, with citations
- Follow-up question generation from the last visit
- Patient-friendly explanations of lab results
Laboratories and diagnostics
Turn raw results into clinical context
A lab value means little without the patient’s history. NanoSense connects observations to conditions, medications, and prior results, so every report is read against the full record.
- Capabilities
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- LOINC-coded observations ingested via FHIR
- Trend analysis across repeated measurements
- Reference-range and history-aware interpretation
- Typical use cases
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- “How has this patient’s HbA1c trended over 2 years?”
- Flagging abnormal results against the patient’s baseline
- Correlating lab panels with active conditions
- Generating plain-language result summaries for patients
Imaging and radiology centers
Reports and findings, one query away
Radiology generates the most data in medicine, and the hardest to retrieve. NanoSense indexes imaging studies and radiology reports so clinicians can ask questions in plain language and get answers with citations.
- Capabilities
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- Dedicated radiology query mode with long-lived caching
- DICOM ingest with study and report tracking
- Report status tracking, from preliminary to final
- Typical use cases
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- “What did the last chest CT show?”
- Comparing findings across serial imaging studies
- Retrieving prior reports for second opinions
- Linking imaging findings to clinical decisions
Clinical research
Cohort discovery without the SQL
Finding the right patients for a study usually means weeks of chart review. NanoSense lets researchers query de-identified cohorts in plain language, with every answer traceable back to the source records.
- Capabilities
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- HIPAA Safe Harbor de-identification built in
- Knowledge graph linking conditions, medications, and procedures
- Full audit trail for research governance
- Typical use cases
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- “How many patients match these inclusion criteria?”
- Exploring condition and medication co-occurrence patterns
- Literature-grounded answers via PubMed fallback
- Reproducible, auditable cohort queries
Patient-facing apps
A health assistant your patients can check against the record
Add a chat-style health assistant to your patient portal or telemedicine app. Every answer is grounded in the patient’s own record, with confidence scores and source citations. It explains what the record says and does not replace a clinician.
- Capabilities
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- Drop-in BFF templates for Express and FastAPI
- Confidence badges and source citations per answer
- API keys stay server-side, never in the browser
- Typical use cases
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- “What does my latest blood test mean?”
- Pre-visit question preparation
- Medication and allergy lookups from the record
Access
See NanoSense with your own data. Subscribe through AWS Marketplace, then connect a sample of your records.