Opmed.ai unveils AI scheduling to transform rehab care

Healthcare technology company Opmed.ai has launched an artificial intelligence-based scheduling platform for rehabilitation centres and reported a 95% reimbursement approval rate in early deployments with inpatient rehabilitation facilities.

The Boston-based company said it has extended its optimisation software from hospital operating rooms into rehabilitation units, which it describes as one of the most complex settings for care coordination. Initial rollouts in inpatient and outpatient rehabilitation sites in the US and overseas showed reductions in patient wait times of more than 90% and a 12% rise in billable hours.

Opmed.ai also reported a 13% improvement in treatment value and a 29% increase in provider utilisation. The company defines treatment value based on the amount and consistency of therapy time delivered against prescribed plans.

Scheduling pressures

Inpatient rehabilitation facilities face error-prone and labour-intensive scheduling processes. Industry studies cited by the company indicate scheduling error rates of 20% to 30% in some facilities. One study found that 175 out of 220 inpatient rehabilitation stays did not meet Medicare requirements.

Facilities often depend on manual scheduling workflows. Staff spend four to five hours a day assembling and adjusting therapy timetables across multiple teams. This process typically involves frequent reshuffling, missed or shortened sessions, and idle therapist hours.

Operators also face high demand for services and persistent clinical staffing shortages. These pressures sit alongside detailed regulatory rules around therapy intensity and documentation for Medicare and Medicaid reimbursement. The combination places margins under strain and increases the risk of denied claims.

AI-based platform

Opmed.ai said its rehabilitation product uses artificial intelligence to generate daily schedules for patients and clinical staff. The system ingests information about patient availability, therapist rosters, insurance and reimbursement rules, continuity of care requirements, and individual treatment plans.

The software then proposes a schedule that aims to match the prescribed treatment intensity and regulatory thresholds while coordinating room, equipment, and therapist time. Rehabilitation teams can review and adjust the proposed schedule before implementation.

The company said the platform was tested across rehabilitation centres in the US and abroad. It reported double-digit gains in billable hours and treatment value, as well as shorter patient wait times and improved continuity with the same primary therapist.

Opmed.ai said the system structured inpatient treatment plans so that therapy minutes and session distribution aligned with US Centres for Medicare & Medicaid Services (CMS) rules. It said this reduced the risk of reimbursement denials.

Reimbursement results

Across the initial inpatient rehabilitation deployments, Opmed.ai reported a 95% reimbursement approval rate. The company linked this outcome to more consistent adherence to CMS coverage criteria and documentation patterns.

Facilities in the pilot group also saw a reported 90% reduction in patient waiting times between sessions. Provider utilisation increased by 29%, indicating that clinicians spent more of their working day in scheduled patient-facing time.

The company said these changes occurred without increasing staff headcount. It said the platform redistributed existing time away from manual scheduling and ad hoc adjustments and towards treatment delivery.

Sector response

Opmed.ai's leadership framed the launch as part of a wider shift towards more data-driven operations in rehabilitation medicine.

"This is an inflection point for the rehabilitation sector," said Dr. Mor Brokman Meltzer, Co-Founder and CEO, Opmed.ai. "Rehabilitation centers are under enormous pressure to do more with less, yet they're still constrained by scheduling systems that weren't built for their complexity. Our technology proves that when you remove these operational barriers, everyone benefits: patients enjoy better outcomes, therapists spend more time delivering care, and centers gain the capacity they didn't know they had."

Three Birds One Mission, a rehabilitation provider that participated in the early trials, reported gains in scheduling reliability and therapist productivity.

"We were amazed by how quickly the platform adapted to our real-world constraints," said Dr. Laura Mraz, founder of Three Birds One Mission. "In a short period of time, we saw a meaningful improvement in provider scheduling and efficiency, allowing our teams to focus more on delivering care rather than managing logistics. It's been a true game-changer for rehabilitation operations".

Opmed.ai and Three Birds One Mission jointly presented the 29% provider utilisation improvement at the 2025 American Congress of Rehabilitation Medicine. The company said it plans to expand its rehabilitation offering across more inpatient and outpatient centres and into additional clinical service lines that face similar scheduling and reimbursement challenges.