Enzo Health has launched an AI-native EHR platform for home healthcare agencies, positioning it as an industry-first solution.
According to Enzo Health, its end-to-end agentic platform, Enzo EHR, streamlines and automates the entire patient care journey. The company first shared details of the product with Fierce Healthcare.
Zach Newman, CEO and co-founder of Enzo Health, said his move into home healthcare revealed significant inefficiencies in the industry’s existing workflows and technology.
In an interview with Fierce Healthcare, Newman said he was surprised by the outdated systems used across the home healthcare industry and the extensive manual effort required outside of EHR platforms to deliver care and manage reimbursement efficiently.
Newman noted that the home health sector remains highly fragmented, with responsibilities often divided among multiple professionals, including schedulers, clinicians, and administrative staff.
He added that while agencies invest in EHR systems, many also rely on several additional software solutions layered on top of their legacy platforms to streamline operations. However, the use of multiple disconnected tools often leads to information gaps and lost context, as each system functions independently and supports only specific tasks.
Enzo Health says its Enzo EHR platform is designed to address these challenges by streamlining workflows and significantly reducing processing times. The platform enables home healthcare organizations to manage key operations—including intake, scheduling, patient visits, compliance, billing, and patient visibility—within a single system.
According to the company, Enzo EHR can analyze referral packages from multiple sources, extract critical information, and assist coordinators in making admission decisions more efficiently. This capability reportedly reduces intake times from the industry average of 70 minutes to about five minutes.
The platform also automates scheduling by matching clinicians with patients based on factors such as availability, location, and care requirements, cutting scheduling time from approximately 15 minutes to just 30 seconds.
Enzo Health further claims that its AI-powered documentation tools can reduce clinician charting time by up to 75% per visit. The system generates real-time clinical documentation from visit conversations, tracks physician orders and care plans, prepares billing claims automatically, and identifies potential issues that could result in claim denials before submission.
Company executives noted that while many legacy EHR vendors have added AI features to existing systems, Enzo EHR was built from the ground up as an end-to-end agentic platform. By connecting every stage of the patient journey—from referral and intake to care delivery and billing—the solution aims to eliminate the disconnected tools and manual processes that have long characterized the home healthcare industry.
Newman said the platform allows agencies to consolidate multiple software products into a single solution, reducing complexity and improving operational efficiency.
The company has already partnered with an early adopter organization that has reported a tenfold improvement in intake decision-making speed. According to Newman, decisions that previously took between 15 and 20 minutes can now be completed in as little as one to two minutes using Enzo EHR.
The early adopter organization has also been able to redeploy staff to other operational areas while achieving approximately 75% reductions in clinician documentation time.
Founded in 2024, Enzo Health is focused on leveraging artificial intelligence to automate and optimize workflows across the post-acute care continuum.
In May, the company announced a $20 million Series A funding round, bringing its total funding to $26 million. Enzo Health reports that its revenue has increased more than 40-fold over the past year and that its platform now supports more than 500,000 patients annually across over 100 healthcare organizations.
According to Newman, one of the most promising aspects of AI in healthcare is its potential to reduce administrative burdens and enable clinicians and care teams to dedicate more time to patient care.
He emphasized that AI agents should handle routine administrative tasks, allowing healthcare professionals to focus on what they do best—caring for people and delivering high-quality care.
