Master Glass AI with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Verify professional eligibility
: Ensure you are a licensed healthcare professional or medical student/resident with appropriate supervision
Review institutional policies
: Check if your healthcare institution requires approval or compliance review before using AI clinical support tools
Start with educational cases
: Begin with known case presentations to understand how Glass AI provides diagnostic suggestions and medical knowledge
Practice clinical integration
: Test how AI suggestions complement your existing diagnostic reasoning process and clinical workflow
Establish appropriate boundaries
: Understand Glass AI's role as a support tool that requires clinical judgment and cannot replace standard medical decision
💡 Quick Start: Follow these 10 steps in order to get up and running with Glass AI quickly.
Explore the key features that make Glass AI powerful for coding agents workflows.
Captures the audio of a patient encounter on iOS, Android, or web and generates a structured clinical note the clinician can edit and sign.
A family physician records a 20-minute appointment on their phone, and Glass produces a SOAP note ready for review by the time the patient leaves the room, eliminating end-of-day documentation backlogs.
Takes a clinician-authored problem representation and produces a ranked, evidence-grounded differential with reasoning for each consideration.
An ER physician seeing a patient with atypical chest pain enters the presentation and reviews Glass's differential to ensure cardiac, pulmonary, GI, and musculoskeletal etiologies are all considered before ordering workup.
Generates diagnostic and treatment plan suggestions tied to current guidelines and medical literature, which the clinician adapts to the specific patient.
A hospitalist drafting an admission plan uses Glass to surface guideline-concordant initial workup and empiric therapy options, then refines them based on patient comorbidities and local antibiograms.
Available on the $200/month Max plan, this pushes finalized Glass-generated notes directly into the clinician's electronic health record system.
A solo internist on the Max tier finishes a visit, edits the AI-generated note inside Glass, and clicks to send it straight into their EHR's chart instead of copy-pasting.
Glass runs as a web app and as native iOS and Android apps, letting clinicians use their phone as the encounter capture device and a desktop for chart review.
A clinician records the encounter on the iPhone Glass app at the bedside, then reviews and edits the generated note from their workstation between patients.
Glass Health offers three tiers per its published schema: a Free plan with limited clinical decision support, a Pro plan at $90/month with unlimited ambient scribing and unlimited clinical decision support, and a Max plan at $200/month that adds direct EHR integration on top of everything in Pro. The free tier is suitable for residents and students experimenting with the platform, while solo clinicians and small practices typically land on Pro. Max is targeted at clinicians whose workflow depends on notes flowing directly into Epic, Athena, or another EHR without manual copy-paste.
Glass AI is positioned as a clinical decision support tool, not a diagnostic device — every output is intended to assist a licensed clinician's reasoning, never to replace it. The platform explicitly emphasizes that all diagnostic and treatment decisions must be made by qualified healthcare providers using the full clinical context, patient history, and applicable standards of care. Healthcare institutions should review Glass's regulatory and compliance posture directly with the company before deploying it in clinical workflows. Individual clinicians remain responsible for verifying any AI-generated suggestion against current guidelines.
Glass's ambient scribe captures the audio of a patient encounter and generates a structured clinical note (typically SOAP-format) that the clinician can review, edit, and finalize before signing. The mobile apps on iOS and Android make it practical to use a phone as the recording device in the exam room. Glass markets itself to clinicians who must operate under HIPAA, but specific Business Associate Agreements (BAAs), data retention policies, and audit logs should be confirmed directly with Glass Health before patient-identifiable audio is processed. Most institutions require a security review prior to enabling ambient scribing on real encounters.
Yes — Glass is widely used by medical students and residents as a clinical reasoning learning tool, and the free tier provides enough access to practice differential generation on cases. The platform's problem-representation-to-differential format mirrors how clinical reasoning is formally taught in medical school and residency, making it a useful complement to case-based curricula. Trainees should still use Glass under attending supervision and treat its output as a study aid rather than a substitute for clinical training, the way one would use UpToDate or DynaMed.
Compared to the other AI Healthcare tools in our directory, Glass is one of the few that bundles ambient scribing with active clinical decision support in a single product — most scribe-only competitors like Nuance DAX or Abridge focus on note generation alone, often at premium per-provider pricing through enterprise contracts. Glass's $90/month Pro tier is notably more accessible to solo clinicians and small practices than enterprise scribe contracts, which can run several hundred dollars per provider per month. If you only need a scribe and you're already inside a large health system with a Nuance/Microsoft contract, DAX may integrate more deeply; if you want decision support plus scribing on a transparent monthly subscription, Glass is the more flexible option.
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Tutorial updated March 2026