K Health vs Glass AI

Detailed side-by-side comparison to help you choose the right tool

K Health

🟢No Code

Healthcare

AI-powered primary care platform that pairs clinical AI trained on billions of data points with licensed physicians for affordable 24/7 virtual healthcare starting at $49/month.

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Starting Price

Free

Glass AI

🟡Low Code

AI 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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Starting Price

Freemium

Feature Comparison

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FeatureK HealthGlass AI
CategoryHealthcareAI Development Assistants
Pricing Plans91 tiers8 tiers
Starting PriceFreeFreemium
Key Features
  • Real-time symptom analysis
  • Text-based consultations with licensed physicians
  • Prescription management
  • Ambient AI scribing
  • Differential diagnosis generation
  • Clinical decision support

K Health - Pros & Cons

Pros

  • Clinical AI trained on billions of real-world health data points provides evidence-based symptom analysis grounded in how similar patients were actually diagnosed and treated
  • Transparent flat-rate pricing ($73/visit or $49/month unlimited) eliminates insurance friction and surprise bills, making care predictable for uninsured and high-deductible users
  • 24/7 availability with typical clinician connection in minutes solves the access problem for after-hours, weekend, and same-day primary care needs
  • Free pre-visit AI symptom checker lets users triage concerns and decide whether a clinician visit is needed before paying anything
  • Broad clinical scope covers urgent care, chronic disease management (hypertension, diabetes, cholesterol, thyroid), mental health, and weight management including GLP-1 prescriptions
  • Prescriptions are sent directly to the user's preferred pharmacy and clinician follow-up messaging is supported for continuity rather than one-off encounters

Cons

  • U.S.-only service — not available to users outside the 50 states, limiting global utility
  • Cannot replace in-person care for conditions requiring physical examination, imaging, procedures, or hands-on diagnostics
  • Does not handle pediatric care for very young children in all states, and scope is restricted for controlled substances and certain specialty medications
  • Membership pricing is out-of-pocket and not always reimbursable by insurance, which can feel duplicative for users who already pay for traditional coverage
  • AI symptom checker outputs reflect statistical patterns from past patients and can occasionally surface conditions that feel alarming or irrelevant without clinician context

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

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🔒 Security & Compliance Comparison

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Security FeatureK HealthGlass AI
SOC2✅ Yes
GDPR
HIPAA
SSO
Self-Hosted
On-Prem
RBAC
Audit Log
Open Source
API Key Auth
Encryption at Rest
Encryption in Transit
Data Residency
Data Retention
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