Canvas Medical Launches Hyperscribe, an Open Source AI Copilot for Clinicians

What You Should Know:

– Canvas Medical, the EMR company accelerating everyday medicine, today announced the launch of Hyperscribe, an open source artificial intelligent (AI) copilot that uses ambient audio to write clinical documentation and orders collaboratively with other AI agents.

–  Built with the Canvas software development kit (SDK), Hyperscribe leverages instant access to complete patient medical data, continuous real-time event streams and agentic control of the Canvas EMR user interface, setting a new precedent for accessibility, transparency and effectiveness in clinical workflow automation.

Canvas Medical Advances AI Governance in Healthcare with Hyperscribe

Founded in 2015, Canvas Medical is revolutionizing electronic medical records (EMR) by enabling seamless integration, developer tools, and an open data architecture that enhances clinician workflows. Its solutions automate processes with complete patient context, reducing administrative burdens and driving better outcomes across various care models and outpatient specialties.

As AI adoption in healthcare expands, robust AI governance is becoming essential to ensure transparency, safety, and efficacy. While organizations like the Coalition for Health AI and the Joint Commission have established foundational frameworks, practical implementation examples remain scarce. Canvas Medical is setting a new industry standard with Hyperscribe, an AI-driven documentation tool that promotes governance through:

• Reproducible evaluation code, ensuring transparency in AI model performance
• Publicly available evaluation datasets, allowing for open benchmarking and validation
• Comparative AI model analysis, assessing Hyperscribe alongside third-party AI scribes and copilots

“Our customers have long recognized that traditional EMRs fail to meet their evolving needs, and now they are demanding AI-powered solutions that actively collaborate with care teams,” said Adam Farren, CEO of Canvas Medical. “With Hyperscribe, we are accelerating into this future by demonstrating how AI agents can work together on the Canvas platform, delivering compounding value through our publicly available developer tools.”

Hyperscribe offers more advanced functionality than competing AI scribe solutions, with key features including:

• Composable Chaining – Automates task integration within the EMR, allowing outputs from one task to trigger the next. This streamlines patient referrals, eligibility verification, insurance claims, and clinical decision support.
• Complete Patient Context – Utilizes full medical records and real-time updates from prebuilt data integrations, ensuring accuracy, compliance with clinical guidelines, and adherence to safety guardrails.
• Order Execution with Guardrails – Goes beyond ambient speech recognition by applying clinical informatics safeguards to accurately interpret conversations and infer details about care plans.
• Real-Time Documentation – Updates patient records continuously during appointments, giving clinicians a live view of documentation and orders. Clinicians can edit notes in real time, with multi-author support ensuring seamless collaboration.
• Open Source Development – Offers a publicly available codebase and evaluation framework, allowing organizations to integrate, enhance, and customize AI models for their specific needs.

By introducing Hyperscribe, Canvas Medical is not only advancing AI-driven clinical documentation but also setting a new benchmark for AI governance in healthcare.