Glass Health AI Clinical Decision Support

Glass: AI Clinical Decision Support for Enhanced Diagnosis

Glass Health AI Clinical Decision Support (CDS) is an innovative platform designed to enhance the clinical decision-making processes of clinicians. Leveraging artificial intelligence, Glass CDS generates drafts of differential diagnoses, assessments & plans, and provides answers to clinical reference questions, optimizing clinician workflows and improving patient outcomes.

What is Glass Health AI?

Glass Health AI is a clinical decision support platform built by clinicians for clinicians. It harnesses the power of AI to provide advanced clinical reasoning and guidance, helping medical professionals make smarter and faster decisions.

How does Glass Health AI work?

Glass combines a large language model with evidence-based, peer-reviewed medical knowledge to provide AI-powered clinical guidance. It streamlines diagnostic decisions by identifying potential diagnoses based on patient summaries and applying relevant clinical guidelines to generate clinical plans.

Key Features:

• Draft DDx (Differential Diagnosis): Generates potential diagnoses based on patient information.
• Draft A&P (Assessment & Plan): Creates initial assessments and plans for patient care.
• Ask a Question: Answers clinical reference questions with evidence-based citations.
• Draft H&P (History & Physical): Produces structured notes for patient history and physical exams.
• Draft Progress Note: Automates progress notes, saving time during shifts.
• Draft DC Summary (Discharge Summary): Generates comprehensive discharge summaries.
• Draft DC Instructions (Discharge Instructions): Creates patient-friendly discharge instructions.
• Patient Handout: Generates educational material for patients.

Benefits:

• Smarter Medical Decision-Making: Optimizes clinician workflows with tools designed for efficient diagnosis and care planning.
• End-to-End Clinical Documentation in Seconds: Drafts comprehensive, structured notes, including H&Ps, progress notes, A&Ps, and patient handouts, ready for review and edit.
• Faster Decision Support: Delivers precise, evidence-based answers with inline citations and clear diagnostic next steps.

Why Choose Glass Health AI?

Glass stands out from traditional clinical decision support tools by combining cutting-edge AI with peer-reviewed medical knowledge. Its Deep Reasoning mode delivers high-accuracy guidance, scoring at 97–98% on USMLE and top clinical benchmarks.

Who is Glass Health AI for?

Glass is designed for clinicians seeking to optimize their practice of medicine and enhance patient care. It is particularly useful for:

• Physicians
• Nurses
• Medical students
• Healthcare professionals

Guided by Evidence, Powered by AI

Glass integrates a large language model with clinical guidelines created and maintained by their physician team. The AI identifies diagnoses that may match the presentation in your patient summary, then applies relevant clinical guidelines to generate the first draft of clinical plans for you to review.

How to Use Glass Health AI?

Glass can be accessed via a web browser. Core features are designed for enhancing clinical decision-making processes by providing AI-generated drafts of differential diagnoses, assessments & plans, and answers to clinical reference questions. Simply input patient information and let the AI generate the necessary documentation and insights.

FAQ

What makes Glass different from traditional clinical decision support tools?

Glass combines a large language model with evidence-based, peer-reviewed clinical guidelines, providing a more advanced and accurate clinical decision support tool.

How does Glass ensure patient privacy and data security?

Glass is committed to patient privacy and data security and adheres to all relevant regulations and guidelines.

The Future of Clinical Decision Support

Glass Health's mission is to empower providers and patients with best-in-class AI for clinical decision support. With a deep commitment to safety, ethics, and alignment, they aim to increase diagnostic accuracy, improve the implementation of evidence-based medicine, accelerate the achievement of health equity, and improve patient outcomes worldwide.