Regard vs Glass AI
Detailed side-by-side comparison to help you choose the right tool
Regard
🟢No CodeDocument Management
AI clinical insights platform that reviews 100% of patient chart data to recommend diagnoses, generate draft documentation, and surface missed conditions at the point of care.
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PaidGlass AI
🟡Low CodeAI Development Assistants
Clinical decision support AI that assists healthcare professionals with differential diagnosis, medical knowledge search, and evidence-based clinical reasoning.
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FreemiumFeature Comparison
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💡 Our Take
Choose Glass AI if you want a clinician-driven workflow where you author the problem representation and Glass returns differentials and notes you control. Choose Regard AI if you are a hospital IT team looking for an EHR-integrated platform that proactively scans patient charts to surface missed diagnoses across an inpatient census — Regard is institution-deployed; Glass is clinician-deployed.
Regard - Pros & Cons
Pros
- ✓Reviews 100% of patient chart data — catches conditions that clinicians miss when manually reviewing the 3% they have time for
- ✓Generates draft clinical documentation before the physician encounter, saving 10+ minutes per note
- ✓Proven revenue impact: Sentara Health saw 17% increase in CC/MCC capture with 4x ROI per user
- ✓Integrates directly into Epic and Cerner workflows — no context-switching to a separate application
- ✓Reduces CDI query burden by proactively documenting diagnoses, saving CDI teams ~60 minutes per avoided query
- ✓Combines ambient conversation data with chart data for more complete clinical picture
- ✓HIPAA-compliant with enterprise-grade security appropriate for hospital environments
Cons
- ✗Enterprise-only pricing with no self-service tier — requires a sales process and implementation timeline
- ✗Currently focused on hospital medicine (hospitalists/internists) — limited applicability for outpatient or specialty practices
- ✗Implementation requires EHR integration work that can take weeks to months depending on the health system's IT infrastructure
- ✗Physician adoption depends on trust in AI-generated suggestions — some clinicians may resist AI-recommended diagnoses
Glass AI - Pros & Cons
Pros
- ✓Bundles ambient scribing and clinical decision support in one subscription, replacing what would otherwise require two separate tools (typically $150-$400/month combined)
- ✓Pro tier at $90/month is competitive against standalone AI scribe products and includes unlimited usage of both scribing and decision support
- ✓Available on iOS, Android, and web, letting clinicians capture encounters on a phone in the exam room and review notes from a desktop later
- ✓Evidence-based diagnostic suggestions are grounded in current medical literature, helping clinicians consider comprehensive differentials for atypical or complex presentations
- ✓Educational value for medical residents and students — the structured problem-representation-to-differential workflow mirrors how clinical reasoning is formally taught
- ✓Max tier ($200/month) adds direct EHR integration so AI-generated notes flow into the chart without copy-paste
Cons
- ✗Restricted to licensed healthcare professionals — patients and non-clinical users cannot access the platform for self-diagnosis or general health questions
- ✗Specialty depth varies: well-suited to general internal medicine, family medicine, and emergency medicine, but may underperform on rare diseases or narrow subspecialties (e.g., advanced oncology subtypes, rare genetic disorders)
- ✗EHR integration is gated behind the $200/month Max tier — Pro users must still copy notes manually into their charting system
- ✗Output quality is bounded by the quality of clinician input: incomplete histories or vague problem representations produce weaker differentials
- ✗HIPAA and institutional compliance review is typically required before clinics can deploy ambient scribing on real patient encounters, adding rollout friction
Not sure which to pick?
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