Delv
Researchby Glass Health4.3

Glass Health

AI clinical reasoning agent that generates real-time differential diagnoses and ambient scribe notes grounded in medical knowledge graphs.

C
Safety & Trust

Delv Safety Grade: C

Score 58/100 · assessed 2026-04-19

Maintainer55
Permissions65
Supply chain40
Transparency45
Incidents100

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

Outbound networkExternal LLM callIdentity readSend messages
Assessed by Delv Editorial using public metadata. Grades are advisory and update as the ecosystem changes. They do not replace your own review of permissions and code before granting an agent access to sensitive systems.

Pricing

FREEMIUMFree tier, paid plans

Platforms

webmobile

Review

Glass Health sits in the narrow overlap between clinical decision support and ambient AI scribing, and it handles both better than most tools that try to do either alone. The core trick is its knowledge graph backbone: when you feed it a patient presentation, it doesn't just pattern-match against GPT's training data. It grounds differential diagnoses in structured medical ontologies, which means fewer hallucinated zebra diagnoses and more defensible reasoning chains. I've used it primarily for differential generation during case reviews. You drop in age, presenting complaint, pertinent positives and negatives, and it returns a ranked list with likelihood estimates and supporting evidence. The autonomy here is real: it iterates through diagnostic trees without you steering each branch, pulling in epidemiology, symptom clusters, and red flags. Compare that to ChatGPT with a clinical prompt, where you're constantly course-correcting and second-guessing references. Glass cites UpToDate, guidelines, and peer-reviewed sources inline, which saves the ten minutes you'd otherwise spend validating every claim. The ambient scribe feature listens to patient encounters and drafts SOAP notes in real time. It's faster than Dragon, more structured than Otter, and it actually understands medical shorthand. But it's not flawless: complex multi-problem visits sometimes get flattened into a single assessment, and you'll still need to edit for nuance. I'd reach for it when I need a first draft that doesn't require a full rewrite, not when I need publication-ready documentation. Failure modes: it struggles with rare presentations outside the knowledge graph's coverage, and the free tier rate-limits you hard enough that it's only useful for occasional consults. The mobile app is serviceable but the web interface is where the real workflow lives. Competitor-wise, UpToDate's diagnostic tools are more exhaustive but require more manual navigation; Suki and Nuance DAX handle scribing but lack the diagnostic reasoning layer. Glass is the better pick if you want both in one place and you're willing to pay for the integrated workflow. One concrete use case: I ran a case of atypical chest pain through it mid-consultation. It flagged costochondritis and GERD as expected, but also surfaced herpes zoster as a differential I'd missed, with a cited incidence rate for the patient's age group. That kind of safety net is worth the subscription if you're in primary care or urgent care settings where breadth matters more than depth.
Verdict

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