An EHR Built for Value-Based Care
Canvas Medical has spent over a decade building an EHR for the way modern care delivery actually works. Founded in 2015, Canvas serves customers across care models and specialties, with a particular focus on the needs of value-based care organizations, which are paid for the health outcomes achieved versus services delivered. It's a model gaining significant momentum, and one with the potential to fundamentally reshape the affordability and effectiveness of the US healthcare system.
Today Canvas is the top-ranked ambulatory specialty EHR in the 2026 Best in KLAS report. Its platform is built to be extended by developers and customized for any care model, spanning clinical, operational, and financial domains. Powerful as that is, it's only as good as the data it runs on. For value-based care organizations, that data foundation is especially critical.
“You can't implement value-based care without high visibility into individual patient health, which requires quality data. Meeting value-based objectives is predicated on having that visibility and the tools to press it into service.”
For comprehensive patient data and interoperability, Canvas found that partner in Metriport.
Challenge: Critical Patient Data Lives Outside of the EHR
Most EHRs operate as islands. A patient's history is distributed across hospitals, specialists, labs, and pharmacies, each running systems that don't share data cleanly. For Canvas providers, that meant walking into encounters without a complete picture of the patient in front of them. The information existed somewhere in the U.S. healthcare system. It just wasn't in Canvas.
True interoperability is rare in healthcare, and what passes for it often falls short in practice. Canvas needed a partner who could turn their EHR into a more complete clinical tool.
“The number one thing when it comes to disappointment on HIE is that it's not actionable. The data is there. The question is whether you can use it.”
Solution: A Comprehensive View of Every Patient
Metriport connects Canvas to major national and state HIEs, giving providers access to a patient's clinical history from across the U.S. healthcare system. That data arrives in structured, computable FHIR format and surfaces directly inside the Canvas workflow. What had been an isolated EHR became a connected one.
Through Metriport, Canvas providers also contribute data back to HIE networks after each encounter. That reciprocity means encounter notes and clinical information flow to other providers across the care team, including those using Epic and other major EHR systems. It is what separates true interoperability from one-way data retrieval, and it remains uncommon among EHR platforms.
The result is a more valuable EHR. Canvas providers walk into encounters with a broader, more complete picture of the patient, without leaving the chart to find it. Metriport also consolidated the patchwork of point solutions Canvas had been maintaining into a single integration, covering HIE connectivity, data transformation, and ADT notifications.
Results: A More Capable EHR, From the Inside Out
Comprehensive records
Metriport connects Canvas to major national Health Information Exchange networks and frameworks throughout the country, delivering a broader view of a patient's history than the EHR alone can provide. Where other solutions return incomplete snapshots, Canvas providers get a full picture before the encounter begins.
AI-powered summaries
The quality and completeness of data changed what was possible at the point of care. Consider a patient managing multiple chronic conditions and on 18 medications.
A record pulled through Metriport arrives in structured, computable FHIR format, not as hundreds of PDFs and C-CDAs, which is the status quo for interoperability across much of the industry. Metriport's AI Summaries condense that full record into a single, clinically relevant paragraph, giving providers the context they need in seconds.
Fast workflows
Clinical records that had taken up to an hour to pull are now ready in a few minutes. Providers access external records without logging into a separate system, with Metriport's data surfacing directly in the Canvas workflow. A clinician can spot a medication they didn't know the patient was still taking, catch a potentially dangerous interaction, and act on it without leaving the chart.
“The goal has always been to give care teams the full picture of the patient at the point of care. Getting there requires solving the data problem first, and that's what Metriport's integration is making possible.”
Looking ahead
The next frontier for Canvas and Metriport is making a full range of external data not just visible, but automatically actionable. The two teams are working toward AI-assisted reconciliation: comparing what exists in Canvas against records pulled through Metriport, resolving duplicates, flagging interactions, and updating the chart, without the clinician having to manage the merge manually.