Net Health has launched an AI-powered documentation capability for ReDoc, its outpatient and hospital-based rehabilitation therapy electronic medical record (EMR), aimed to improving clinical efficiency. The native ambient scribe is built on advanced AI models and trained using documentation created by ReDoc clinicians, enabling it to generate both clinical narratives and structured documentation directly during patient encounters. Designed for rehabilitation disciplines-including physical therapy, occupational therapy, speech-language pathology, and specialties such as hand therapy, lymphedema, women’s health, and pediatrics-the solution recognizes specialty-specific terminology and documentation needs. The AI documentation capability represents the first in a planned suite of AI enhancements for ReDoc, with future additions including chart auditing, chart summaries, smart scheduling, and coding support based on customer feedback.
Also Read: Aurora Innovation Expands Driverless Freight Network with Value Truck Partnership
“Rehab therapists are asked to document more, in less time, with fewer people covering the caseload,” said Ron Books, CEO of Net Health. “ReDoc AI is built from our own clinicians’ documentation, not from a generic model bolted onto the workflow. That’s what gives clinicians time to focus on the patient in front of them.” “Every specialty in rehab therapy documents differently, and clinicians can tell when a tool does not understand those differences,” said Arman Samani, Division President of Rehab Therapy at Net Health. “We trained ReDoc AI on real documentation from the therapists using ReDoc every day, so it recognizes the difference between, say, a hand therapy note tracking grip strength and a pediatric evaluation tracking developmental milestones. That is what makes it reliable enough for clinicians to trust in the moment.”