Glass Health
Overview
Glass Health is a comprehensive medical AI platform designed for clinicians, uniquely merging documentation automation with advanced clinical reasoning capabilities. It operates as a ‘combined platform,’ integrating ambient scribing, real-time ambient insights, three-tier differential diagnosis, evidence-informed assessment-and-plan generation, and contextual Clinical Questions within a unified workflow. The tool aims to significantly reduce documentation burden, minimize after-hours charting, and enable physicians to maintain direct patient engagement during encounters. It dynamically generates differential diagnoses categorized into Most Likely, Expanded, and Can’t Miss tiers directly from encounter data, subsequently producing evidence-informed assessment and plan drafts. Beyond core reasoning, Glass Health also supports the generation of H&P notes, progress notes, discharge summaries, discharge instructions, and patient handouts.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Ambient Scribing
- Real-time Ambient Insights
- Three-tier Differential Diagnosis (Most Likely, Expanded, Canu2019t Miss)
- Assessment-and-Plan Generation (evidence-informed, problem-based)
- Clinical Questions (evidence-based, contextual, with citations)
- EHR Integration (Epic, eClinicalWorks, Athena, patient data incorporation)
- Chart Summarization
- Documentation Generation (H&P, Progress Note, Discharge Summary, Patient Handout)
- Deep Reasoning
- Longitudinal Patient Context (patient memory across visits)
Use Cases
- Automating clinical documentation during patient encounters
- Assisting with diagnostic reasoning and evidence synthesis
- Drafting comprehensive assessment and plan notes
- Reducing physician charting time and administrative burden
- Improving diagnostic accuracy and reducing bias
- Providing real-time clinical insights during patient visits
What Physicians Need to Know
Leverage Glass Health's integrated ambient scribing and real-time clinical insights to streamline documentation and augment your diagnostic reasoning during patient encounters. Pay close attention to the three-tier differential diagnosis (Most Likely, Expanded, Can't Miss) to broaden your diagnostic considerations and avoid premature closure, especially in complex or time-sensitive cases. Utilize the clinical Q&A feature for quick, evidence-based answers grounded in patient context, and review the inline citations to verify information and deepen your understanding of the recommendations. Integrate the AI-drafted assessment and plan into your workflow to save time on charting while ensuring adherence to current literature and guidelines.
Glass Health offers robust integration with major EHR systems like Epic, eClinicalWorks, and Athena, particularly with its Max plan, leveraging SMART on FHIR technology for secure data flow. This allows for the seamless incorporation of patient data into the AI platform, enhancing contextual understanding for clinical decision support. The platform also provides an API for developers to embed its clinical-grade, evidence-based AI capabilities into other healthcare products and workflows, including telehealth platforms.
Details
| Category | Clinical Decision Support & Reference, Documentation & Scribing |
| Pricing |
Glass health offers a free lite tier, with paid plans including starter at $20/month, pro at $90/month, and max starting from $200/month.
|
| Deployment | Cloud-based |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
Unknown AI-estimated Glass Health's AI is designed as a clinical decision support tool to augment, not replace, clinician judgment, and is not intended for primary reliance in diagnosis or treatment decisions, which helps it circumvent FDA medical device regulatory oversight. |
| Integrations | |
| EHR | Not specified |
| Specialties | Family Medicine, Hospital Medicine, Internal Medicine |
What the Web Says
Glass Health is an AI-powered clinical decision support tool designed for physicians and medical students, focusing on generating differential diagnoses, clinical plans, and documentation. It aims to streamline workflows and enhance diagnostic accuracy by providing evidence-based suggestions and integrating with EHR systems. While generally well-received for its intuitive design and educational value, it is still in beta and has some limitations.
Overall: PositiveStrengths
- Generates structured differential diagnoses and management plans.
- Integrates with EHR systems for summarizing charts and highlighting critical information.
- Provides evidence-based recommendations with citations.
- Clean, focused, and intuitive interface.
- Useful for medical learning and clinical decision-making, especially for trainees.
- Can reduce manual effort in documentation and speed up repeated tasks.
Limitations
- Still in beta with limited features.
- Lacks EHR integration in its free version and limited reliability on complex multi-system cases.
- Web-only with no native mobile app or offline access.
- Narrow feature surface (diagnosis only, no drug information, treatment comparison, or evidence synthesis).
- Potential for automation bias and over-smoothing uncertainty.
- Output quality is highly dependent on the input.
Based on reviews from: AIToolsBox, Clinical AI Report, iatroX, AIToolsPro, Apple App Store, TheLEDGR, PPLE Labs, Reddit, Glass Health (Official Website)
Last updated: 2026-07-17
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Press & Coverage
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Frequently Asked Questions
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