Glass Health
AI clinical reasoning agent that generates real-time differential diagnoses and ambient scribe notes grounded in medical knowledge graphs.
Delv Safety Grade: C
Score 58/100 · assessed 2026-04-19
Glass Health is a clinical decision support tool from a healthcare AI startup, not a major vendor. The company appears legitimate with a functioning product, but lacks the institutional backing of established medical software providers. With no public repository, the supply chain is entirely opaque—you cannot audit what models or knowledge graphs underpin the differential diagnoses. Transparency is limited: no open-source components, no published validation studies readily available, and unclear data handling policies for patient information entered during case reviews. Permissions are moderately scoped (network access for API calls, potential PHI handling), but the closed nature means you're trusting Glass Health's infrastructure entirely. No known security incidents, but the lack of third-party audits or certifications (HIPAA compliance status unclear from provided info) is concerning for clinical use. Suitable for educational case review, but requires institutional vetting before patient-facing deployment.
Green flags
- Grounded in structured medical ontologies rather than pure LLM generation
- Focused clinical use case with domain-specific reasoning
- No known security incidents or data breaches
- Freemium model allows evaluation before institutional commitment
Red flags
- No public repository or source code audit possible
- Unclear HIPAA compliance or third-party security certification status
- Proprietary knowledge graph with no published validation methodology
- Handles potentially sensitive patient data with opaque processing
- Solo startup without established healthcare software vendor track record
Permissions requested
Pricing
Platforms
Review
Pay for it if you're a clinician who needs fast, evidence-backed differentials and decent ambient notes in one tool. Skip it if you only need scribing or if you're in a subspecialty where its knowledge graph doesn't cover your edge cases deeply enough.
Good at
- Knowledge graph grounding reduces hallucinations and provides inline citations to UpToDate and guidelines
- Autonomous differential generation iterates through diagnostic trees without constant human steering
- Ambient scribe understands medical shorthand and produces usable SOAP note drafts
- Faster workflow than toggling between separate tools for diagnosis and documentation
- Mobile and web platforms cover most clinical settings
Watch out
- Free tier rate limits make it impractical for daily use
- Struggles with rare or atypical presentations outside its knowledge graph coverage
- Ambient notes sometimes flatten complex multi-problem visits into oversimplified assessments
- Subspecialty depth lags behind dedicated resources like specialist-focused clinical tools
- Editing still required for nuanced or publication-ready documentation
Use cases
- differential diagnosis
- ambient notes
- clinical Q&A