Enzo Health launches agentic EHR for home health agencies

Health tech startup Enzo Health rolled out an AI-native electronic health record (EHR) system designed for home healthcare agencies, touting it as an industry first.

The end-to-end agentic system—dubbed Enzo EHR—automates the entire patient episode, according to the company. The product news was first provided to Fierce Healthcare.

When Zach Newman, Enzo Health CEO and co-founder, transitioned to working in home-based care, he was shocked by the current processes and systems across the industry.

“I could not believe the systems that people were working out of,” Newman said in an interview with Fierce Healthcare, “And the manual work and labor that was required outside of that was done outside of these EHRs to be able to deliver care and get paid for it in an efficient manner.”

The current landscape for home health agencies is fragmented and often involves decisions spread across multiple professionals, from schedulers to clinicians, according to Newman.

“These home health agencies are paying for their EHR, but on top of that, their tech stack has grown to where they might have three to five different products that sit on top of their legacy EHR to be able to efficiently get the work done,” Newman said. “But naturally, there's context that is lost in between the different tools because those tools are siloed to the work that they are doing.”

Enzo EHR seeks to fill these gaps and, ultimately, cut down on processing times, Newman noted. 

With the platform, organizations can seamlessly run all operations, including intake, scheduling, visits, quality compliance, billing and visibility for patients. The system reads incoming referral packages, drawing on multiple sources to surface key information to help coordinators make admission decisions. It can reduce intake time from an industry average of 70 minutes to around 5 minutes, according to the company.

The solution can reduce scheduling time from 15 minutes to approximately 30 seconds by matching clinicians to patients based on availability, location, need and then build schedules.

Enzo Health claims the solution can reduce clinician charting time by around 75% per visit it uses AI to provide real-time documentation built from visit conversations. It then tracks physician orders and care plans and automatically prepares claims for billing, and the AI can catch issues that might lead to claim denials before they go out, executives said.

Legacy EHR systems typically add AI features to aging architecture, Enzo Health executives said. Enzo EHR was built as an end-to-end agentic system to connect and automate every step of the patient episode — from referral through billing — in a single platform, eliminating the disconnected point solutions and manual handoffs that have defined the industry for decades.

“In a nutshell, what Enzo is doing is we are allowing home health agencies to consolidate all the different point solutions they're paying for simultaneously,” Newman said.

Newman said the company has tapped one organization as an early adopter of Enzo EHR, which has reported improved decision-making speed for intake 10X since using the solution.

“They were taking anywhere from 15 to 20 minutes to where now that decision on average is one to two minutes,” he said.

The organization has also been able to “reallocate staff” to other areas and has seen “about 75%” reductions in documentation times for clinicians. 

Launched in 2024, the startup aims to use AI to automate and streamline every piece of the post-acute care process. 

In early May, Enzo Health announced a $20 million series A funding round, bringing its total funding to $26 million as of May 4. The company says it has grown revenue by more than 40X in twelve months and now works with 500,000 patients annually, which Newman says covers more than 100 organizations.

Newman said what excites him most about AI implementation in healthcare is the ability to allow professionals to “focus on delivering quality care to those where it matters most.” 

“Let's get humans doing what humans do best, [which is] focusing on people,” Newman said. “Let's let agents help with the administrative work that needs to be done.”