The Anti-Integration Revolution: How Freed’s EHR Push Is Leveling the Playing Field for Small Practices

AI-powered agent technology is poised to end the integration backlog that has locked small clinics out of modern documentation workflows

For decades, electronic health record (EHR) integrations have followed a predictable pattern: large health systems with seven-figure IT budgets get custom API builds, while small and mid-sized practices wait in queue—or get left behind entirely. That calculus is about to change.

Freed, the AI medical scribe startup that earlier this year closed a $30 million Series A led by Sequoia, has launched EHR Push, a Chrome extension that uses agentic AI technology to navigate any web-based EHR and insert finalized clinical notes, without a single line of custom integration code.

The company calls it “anti-integration,” and the implications extend far beyond workflow efficiency. If the technology delivers on its promise, it could fundamentally reshape the economics of health IT adoption for small and independent practices that have been priced out of enterprise-grade tooling.

The Integration Tax

“The core problem is that integrations disproportionately serve large systems with budgets and IT teams, while small and mid-sized practices are left behind,” explains Erez Druk, Co-founder and CEO of Freed. “Traditional API-based EHR integrations are slow to set up, expensive to maintain, and often incomplete. You can wait months to get partial functionality, and if you switch EHRs or update workflows, you start over.”

Since Freed’s launch, the company has scaled to serve thousands of clinicians across hundreds of different EHR systems—precisely the fragmented landscape where traditional integrations break down. 

Large health systems can amortize a six-month, six-figure integration project across thousands of clinicians. A three-physician family practice cannot. The result is a two-tiered system where advanced documentation tools remain out of reach for the providers who need them most—solo practitioners and small groups already operating on thin margins.

EHR Push circumvents integrations entirely. Once a clinician finalizes a note in Freed, they open the extension and click “Push to EHR.” The agent then navigates through the browser within the EHR, mapping structured sections of the note to the correct fields in the chart and inserting them—exactly as a trained clinical assistant would.

“That means day-one utility across any web-based EHR, with no tickets and no custom work,” Druk notes. Setup takes minutes, not months. There’s no vendor coordination, no maintenance contract, and no integration queue.”

The Technical Breakthrough

The capability rests on advances in autonomous agent technology that have matured rapidly over the past 18 months. Freed’s agent is purpose-built to navigate and understand EHRs—making sense of outdated and often confusing user interfaces. 

“When it encounters a new EHR, it starts to learn from its environment and develop custom instructions and hints to self-learn and improve transfer quality over time,” Druk explains. “This technological advancement allows our agent to navigate, take action, and learn across the hundreds of unique EHRs used by clinicians – ensuring our solution works for everyone without manual onboarding.”

The system incorporates multiple checkpoints to ensure accurate mapping and transfer. If anything appears incorrect, the agent fails safely and does not attempt the transfer. The company continuously measures quality, latency, and user feedback to identify areas for improvement.

Security as a Non-Negotiable

In healthcare, compliance is table stakes. Freed manages intermediate snapshots in a fully HIPAA-compliant manner, with all data stored and processed under the same safeguards used for Freed notes. Every agent action generates a tamper-evident audit trail, including timestamps, target fields, and detailed records of each change.

“The EHR push agent functions much like a trained clinical assistant: it first learns the structure of the EHR page, then applies judgment to place content in the most appropriate sections,” Druk explains.

“We recognize that this is a new technology, and clinician oversight remains essential,” Druk says. “For that reason, the final note must always be reviewed and confirmed by the clinician before being signed and locked in their EHR.”

Real-World Impact

According to the company, in beta testing, three metrics have consistently correlated with return on investment: first-attempt completion rate, end-to-end latency, and workflow retention. Early data shows clinicians are willing to adjust their documentation habits when the time savings are demonstrable.

“Across cohorts, considerable time is saved for every patient encounter,” Druk notes. “For solo and small-group practices, that’s the difference between wrapping charts at the end of the day versus burning weekends.”

The adoption metrics support his claim. Freed has built one of the fastest-growing clinician bases in the AI medical scribe space, with engagement and retention trending upward as the company expands access to EHR Push.

With the workflow running every day and replacing repetitive EHR data entry, practices see near-immediate value. “That is why we focused on small practices first—it levels the playing field with enterprise capabilities they could never justify before,” Druk says.

The Roadmap Ahead

Freed recently launched ICD-10 support, which Druk says has proven both highly accurate and well-received by clinicians. After receiving positive feedback, the company is now extending its capabilities to automatically transfer problem lists. “Over the next 12–24 months, we’ll expand agentic workflows into chart hygiene, structured data capture, and order prep—always with safety and auditability built in,” Druk says. 

The business model will evolve accordingly. According to the company, key milestones include general availability with enterprise-grade SLAs, clinician adoption and retention, and scale from thousands to tens of thousands of daily agent sessions. “Hitting those gives us the conviction to keep investing in the agentic platform clinicians are asking for,” Druk says.

Looking further out, Druk envisions a future where clinicians spend their time on care while agents handle documentation, coding assistance, follow-ups, and administrative prep that doesn’t require clinical judgment. 

“Agentic software should amplify clinicians and protect their autonomy,” Druk explains. “If we can keep saving hours while preserving safety, trust, and control, that’s the future clinicians deserve.”

A New Playbook for Healthcare IT

For an industry built on integration projects and vendor lock-in, EHR Push represents a fundamental shift in approach. Rather than waiting for EHRs to expose the right APIs, Freed’s agent simply navigates the interface that already exists. Rather than requiring months of custom work, it learns on the fly. Rather than serving only large systems with resources to spare, it works out of the box for any practice with a web browser.

“‘Anti-integration’ is the right model now because the underlying agentic AI technology has matured to the point that it is reliable, fast, and getting better every day,” Druk concludes. 

“Clinicians get the benefit immediately, without being stuck in an integration queue. EHRs benefit as this technology reduces the need for heavy investment, accelerates time-to-market, and makes it easier to integrate with top-tier scribe solutions.”

If that promise holds, the integration backlog that has defined health IT for a generation may finally be coming to an end—not because the problem was solved, but because it was made obsolete.