Glass Health

Glass Health is a healthcare technology company that develops artificial intelligence tools for clinical decision support, medical documentation, and patient health information. Founded in 2021, the company focuses on helping healthcare professionals access medical knowledge, organize clinical information, and manage documentation more efficiently. Its platform brings together two important areas of healthcare technology: clinical decision support and ambient medical scribing. By combining these capabilities, Glass Health aims to help clinicians understand patient information, explore possible diagnoses, prepare clinical assessments, and reduce the time spent creating medical notes.

The platform is designed primarily for physicians, medical trainees, and healthcare organizations that need assistance with clinical reasoning and documentation. Rather than functioning as a general-purpose chatbot, Glass Health provides tools intended for specific medical workflows. These include generating differential diagnoses, drafting assessment and plan documents, answering clinical questions with supporting references, and converting conversations into structured medical notes. The goal is to make relevant clinical information easier to access while allowing healthcare professionals to retain responsibility for medical decisions.

One of Glass Health’s central capabilities is its AI-powered clinical decision support system. This feature helps clinicians organize information about a patient’s symptoms, medical history, and presenting concerns. Based on the information provided, the system can generate possible diagnoses and arrange them into a differential diagnosis. A differential diagnosis is a list of medical conditions that may explain a patient’s symptoms. This can help a clinician consider different possibilities and identify areas that may require further investigation.

Glass Health also supports the preparation of clinical assessments and plans. After reviewing the information supplied, the platform can help draft an assessment that summarizes the clinical situation and a plan outlining possible next steps. These drafts can provide a starting point for clinical documentation, allowing professionals to review, correct, and adapt the information to the patient’s circumstances. The system is intended to support clinical reasoning rather than independently determine a patient’s diagnosis or treatment.

Another important feature is its evidence-based clinical reference capability. Healthcare professionals often need to consult medical guidelines, research, and trusted clinical resources when evaluating a patient or considering a treatment approach. Glass Health is designed to provide answers to medical questions with supporting references, helping users inspect the information behind an AI-generated response. This evidence-oriented approach is important because clinicians need to evaluate the reliability and relevance of medical information before applying it in practice. The availability of references also makes it easier to examine the reasoning behind an answer instead of relying entirely on an unsupported response.

The platform includes a deeper reasoning capability for more involved clinical questions. Medical cases can contain several symptoms, overlapping conditions, incomplete information, and different possible explanations. A simple answer may not be sufficient when a clinician needs to consider multiple factors. Glass Health’s reasoning features are intended to help users examine complex clinical scenarios and organize relevant information. Depending on the selected plan and available model, users may have access to more advanced reasoning capabilities and additional usage allowances.

Glass Health also offers ambient medical scribing. This capability is designed to help clinicians create documentation from conversations that take place during patient encounters. Instead of manually writing every part of a consultation, a clinician can use an ambient scribing workflow to capture the conversation and generate a structured draft. The resulting documentation can be reviewed and edited before it becomes part of the patient’s medical record. This can help reduce repetitive typing and allow healthcare professionals to spend more attention on the patient during consultations.

The ambient scribing workflow is particularly relevant to clinicians who handle many patient appointments and need to prepare documentation throughout the day. Medical notes often contain patient histories, presenting complaints, examination findings, assessments, and plans. Creating these documents manually can take considerable time, especially when the same information must be organized into different clinical formats. Glass Health aims to simplify this process by using AI to convert encounter information into a draft that can be checked and finalized by the clinician.

The platform supports the creation of different types of clinical documents. Depending on the available workflow, these may include history and physical notes, progress notes, clinic notes, discharge summaries, referral-related documents, patient handouts, prior authorization materials, and handoff notes. These documents help healthcare professionals communicate relevant information across different stages of care. AI-generated drafts still require review because the clinician must ensure that the final record accurately reflects the encounter and contains the appropriate clinical details.

Glass Health brings clinical decision support and ambient scribing into a connected workflow. This is a significant part of its product positioning. Traditional medical documentation tools mainly focus on recording and organizing information, while clinical decision support systems focus on helping professionals evaluate medical information. Combining both capabilities can make it easier to move from a patient conversation to a structured note and then use the available clinical information to support further reasoning. The extent of this connected workflow depends on the product features and plan available to the user.

The company also provides tools for clinical question answering. Clinicians can use the platform to explore medical topics, request explanations, and obtain information relevant to a clinical situation. The evidence-based reference approach is intended to make these answers more useful in professional settings, where the ability to inspect supporting material matters. It can be useful when preparing for a consultation, reviewing an unfamiliar condition, considering possible causes of symptoms, or looking for information that may help guide further evaluation.

Another area of development is the organization of patient information. Glass Health has introduced patient list capabilities for clinicians, helping them keep track of patients during a shift or across a service. Organized patient lists can make it easier to manage clinical responsibilities and maintain awareness of the people receiving care. These types of features are particularly relevant in busy healthcare environments where professionals may need to review information for several patients throughout the day.

Glass Health also offers a product for patients through its Glass for Patients experience. This version is designed to help individuals understand their medical records, laboratory results, diagnoses, and other health information in more accessible language. Users can bring supported health information together and use the platform to prepare questions for medical appointments. It is intended to help people understand their health information and have more informed conversations with their care teams. The patient-facing experience is separate from the clinician-focused clinical decision support and scribing workflows.

The patient product can connect medical records, laboratory results, and wearable information to provide a more organized view of personal health information. Instead of reviewing individual documents without context, users can explore information from different sources in one place. The system can explain medical terminology, help users understand trends, and provide information that may be useful when preparing for an appointment. It is not intended to replace a doctor, diagnose medical conditions, or serve as a substitute for professional medical advice.

For clinicians and healthcare organizations, Glass Health provides different subscription levels with varying access to ambient scribing, clinical decision support, advanced models, and usage allowances. The higher plans include more extensive capabilities and, at the top level, electronic health record integration. This tiered approach allows individual clinicians and organizations to select a plan based on their workflow requirements. The company also provides a developer API for organizations and developers interested in incorporating its clinical AI capabilities into their own applications.

The Glass Developer API provides programmatic access to supported clinical AI capabilities. Developers can use the API to build applications that interact with Glass models and incorporate medical reasoning or documentation functions into other software. API access is subscription-based and has a monthly minimum, with additional usage billed according to token consumption. This makes the API more suitable for development teams and organizations with specific integration requirements than for individuals who simply want to use the standard web application.

Glass Health also supports integration with selected electronic health record systems. Its published clinician information identifies Athenahealth, Epic, eClinicalWorks, and Elation as supported EHR environments for the relevant integration offering. These connections are designed to help patient context move into the clinical workflow without requiring clinicians to repeatedly copy and paste information between applications. The company describes an assisted implementation process for connecting an organization’s EHR system. Integration availability depends on the plan and implementation requirements.

Privacy and security are important considerations because the platform may handle sensitive medical information. Glass Health describes its services as supporting healthcare privacy requirements, including HIPAA-related protections. Its patient-facing product states that health information is encrypted in transit and at rest and that users can disconnect their records and request deletion of their data. Healthcare organizations should review the applicable privacy terms, business associate agreement, and data-handling conditions before using the platform with protected health information. They should also confirm which product features and agreements apply to their particular deployment.

The platform is intended to support clinicians rather than replace their professional judgment. AI-generated diagnoses, assessments, plans, and notes may contain incomplete or inaccurate information. Healthcare professionals must review the outputs, verify relevant references, and make decisions based on the patient’s actual condition and the applicable clinical standards. This is especially important when information is incomplete, a patient has complex medical needs, or a decision requires specialist knowledge.

Glass Health can be useful in several healthcare settings, including individual medical practices, hospitals, outpatient clinics, and healthcare organizations with substantial documentation requirements. Medical students and trainees may also find clinical decision support and medical reference tools useful for learning and exploring clinical cases, subject to the terms and intended use of the product. Developers can explore the API for building healthcare applications that need supported clinical AI functionality.

The platform’s main value comes from combining clinical knowledge assistance with medical documentation. A clinician can use its decision support capabilities to explore a case, prepare an assessment, and obtain a draft plan, while ambient scribing can help turn a patient encounter into a structured note. This combination addresses two common demands in healthcare: making sense of medical information and documenting patient care accurately.

However, Glass Health is not a complete electronic health record system, hospital management platform, or replacement for established clinical governance. Its integration capabilities connect it with selected EHR environments, but organizations still need their existing systems and processes for managing patient records and delivering care. The usefulness of the platform also depends on the quality of the information supplied, the selected model, the user’s workflow, and the clinician’s review of generated content.

Overall, Glass Health is a clinical AI platform that combines evidence-based decision support, differential diagnosis assistance, clinical documentation generation, and ambient medical scribing. Its additional patient-facing experience and developer API extend its applications beyond clinician note-taking. The platform is particularly relevant to healthcare professionals who want assistance with clinical reasoning and documentation in one environment. Its free entry-level option provides a way to explore selected features, while paid plans offer expanded usage and more advanced capabilities. Organizations considering adoption should evaluate its clinical suitability, integration requirements, privacy terms, and pricing against their own needs.

Pricing

Glass Health offers a free entry-level plan and paid subscriptions for clinicians. It also provides a separate API subscription for developers.

Clinician plans:

Glass Lite – Free: Limited ambient scribing and clinical decision support. The plan is ad-supported.

Glass Starter – $20 per month: Standard ambient scribing, standard clinical decision support, and customization. The plan is ad-supported.

Glass Pro – $90 per month: Extended ambient scribing and clinical decision support, an advanced AI model, and customization. Ad-free.

Glass Max – $200 per month: Maximum usage allowances, Max Mode, premium AI models, customization, and EHR integration for supported systems. Ad-free.

Annual billing is also available at reduced monthly-equivalent rates: Starter at $18, Pro at $81, and Max at $180 per month.

Developer API:

Monthly minimum – $250: API access has a monthly minimum, with additional usage charged according to token consumption.

Glass 5.5: $3 per million input tokens and $16 per million output tokens.

Glass 5.0: $10 per million input tokens and $50 per million output tokens.

Pricing may change, and usage limits vary by plan. Confirm current rates and subscription conditions before purchasing.

Review

Glass Health is a useful clinical AI platform because it combines two capabilities that address important challenges in healthcare: clinical decision support and medical documentation. Its ability to assist with differential diagnoses, assessment and plan drafts, evidence-based clinical questions, and ambient scribing gives it a broader role than a basic medical transcription tool. This combination may help clinicians organize patient information and reduce some of the repetitive work involved in preparing medical notes.

One of its strongest features is its evidence-oriented clinical decision support. The ability to generate possible diagnoses and provide answers with supporting references is valuable in a professional environment where medical information needs to be examined rather than accepted without verification. Its deeper reasoning capabilities can also help clinicians explore more complicated cases and organize information before making decisions.

Ambient scribing is another major advantage. Creating clinical notes can take considerable time, and the ability to generate structured drafts from patient conversations may help reduce documentation work. The clinician can review and edit the generated content before finalizing it. Combining scribing with clinical decision support also creates a more connected workflow for professionals who want documentation and medical information assistance in the same platform.

Glass Health’s pricing structure makes it accessible to different types of users. Its free Lite plan provides limited access, while Starter, Pro, and Max offer increasing levels of usage and functionality. The availability of a developer API is another advantage for organizations that want to incorporate supported clinical AI features into their own applications. EHR integration with selected systems also makes the platform more relevant to established healthcare workflows.

However, the platform has limitations. AI-generated medical information and documentation can contain errors, omissions, or unsupported conclusions. Clinicians must verify the output and retain responsibility for patient care. The free and lower-priced plans also have usage restrictions, and the Lite and Starter tiers include advertising. Users who need higher usage allowances, advanced models, or EHR integration may need a more expensive subscription.

Another consideration is that EHR integration is not included in every plan. Organizations using systems outside the supported list should confirm whether a suitable integration is available. The API also has a relatively high monthly minimum compared with a simple individual subscription, making it more appropriate for developers and organizations with a genuine integration requirement.

Overall, Glass Health is a strong option for clinicians who want clinical decision support and ambient scribing in one platform. Its evidence-based answers, documentation tools, different subscription levels, and selected EHR integrations make it relevant to individual practitioners and healthcare organizations. It is best used as a support tool under professional supervision rather than as an independent source of medical decisions.