Visual registration
Facial ID or QR check-in. Zero paper at the front desk.
RehabOS connects gait robotics, exoskeletons, brain-computer interfaces, wearable sensors, gait labs, bed monitors, and diagnostics — streaming real data into a single AI-powered clinical record. No manual transcription. No data silos. One operating system for the entire therapy floor.
Robotic gait, exoskeleton, upper limb robot, gait lab, EEG neurofeedback, bed/vitals monitor.
All device data flows into one AI patient record — the RehabOS common shell.
The global robotic rehabilitation market reaches USD 9.47 billion by 2035. Every major rehab centre is investing in gait robotics, exoskeletons, and neurotech. The problem is not access to devices — it is that device data almost never reaches the patient's clinical record in a usable form.
A robotic gait system produces over 2,000 data points per minute of therapy. In most facilities, a therapist transcribes a handful of numbers into a paper sheet. The rest is lost. RehabOS captures everything — automatically, in real time, directly into the clinical record.
RehabOS's ML prediction engine needs biomechanical inputs — gait velocity, stance phase, swing phase, ROM, force output — to generate accurate recovery projections. Without device integration, the AI is working blind. With it, model confidence rises from 68% to 92%.
Every robotic therapy session must be ICHI-coded at the point of delivery for WHO compliance and CARF accreditation. RehabOS assigns the correct ICHI intervention code automatically at session close — no manual coding, no end-of-day reconciliation.
Without integration, a robotic session requires: one therapist to set up the device, one to run it, and another to document in a separate system. RehabOS reduces this to one; the device streams to the record, the plan adjusts automatically, and the session note is pre-populated for review.
High-end robotics represents a major capital investment. Without integration, hospital leadership cannot see session volume, patient throughput, or equipment utilisation rates. RehabOS turns every device into a tracked, reportable asset on the executive dashboard.
Major rehabilitation device manufacturers use proprietary APIs, CSV exports, Bluetooth BLE, DICOM streams, and CAN bus. Most facilities run each device in complete isolation. RehabOS acts as the universal middleware layer — translating every format into a unified, AI-readable data stream.
From the patient chart before the visit to the final code submitted, RehabOS supports every step of the clinical documentation journey.
Captures the natural conversation between clinician and patient, structuring it into a clean clinical note without anyone touching a keyboard mid-session.
Speak a session summary in plain language and get a structured, formatted note back in seconds — ready to review, edit, and sign off.
E/M and ICD-10 coding suggestions grounded in clinical documentation and AMA guidelines — with every final decision in the clinician's hands.
RehabOS removes manual touchpoints at every stage of the patient journey — front desk, therapy floor, discharge. Each step feeds the next. Each device feeds the AI. The target: under 10% human intervention across the entire administrative and data-capture workflow.
Facial ID or QR check-in. Zero paper at the front desk.
Referral letters and prescriptions → structured data instantly.
Unstructured clinical text → ICD-11 coded, ICF-aligned record.
FIM, Barthel, DASH scores captured at point of care.
ICF plan generated in 5 minutes. The MDT approves, not constructs.
Robotics, wearables, gait labs stream directly into the record.
AI updates the recovery curve after every session, in real time.
WHO ICD-11 and CARF–MOH reports generated at discharge, automatically.
RehabOS integrates with the world's leading rehabilitation devices across six technology categories — all streaming into one shared clinical record, all feeding the AI engine, all producing ICHI-coded documentation automatically.
Treadmill-based robotic gait systems provide body-weight-supported, highly repetitive gait training that drives neuroplastic recovery in stroke, spinal cord injury, and traumatic brain injury. Overground exoskeletons extend this to real-world ambulation environments. RehabOS ingests all kinematic and kinetic outputs in real time.
Upper limb robotic therapy delivers high-repetition, assistance-as-needed motor training for post-stroke arm paresis and TBI upper limb impairment. Virtual reality biofeedback engages patients while precision sensors quantify motor recovery. RehabOS captures all force, range, and performance metrics directly from the device.
Brain-computer interfaces represent the frontier of neurorehabilitation — enabling patients with severe paralysis to control devices through neural signals and supporting motor imagery training. RehabOS integrates EEG neurofeedback systems and BCI platforms, capturing cortical activity data and correlating it with therapy progress and motor outcome scores.
Instrumented gait laboratories provide the gold-standard biomechanical baseline for rehabilitation planning and outcome measurement. 3D motion capture, force platform data, and EMG muscle activity give the AI engine its most accurate input signals. RehabOS ingests all gait lab output formats — DICOM, C3D, and CSV — directly.
Functional electrical stimulation activates paralysed or weakened muscles using precisely timed electrical pulses, enabling functional movement during therapy and daily life. RehabOS integrates FES devices to capture stimulation parameters, muscle response, and functional task performance — all correlated automatically to ICF outcome targets.
The therapy session is only a fraction of the patient's recovery day. Wearable sensors and IoT bed monitors provide continuous insight into mobility, vitals, sleep, and activity between formal sessions. RehabOS aggregates this continuous data stream to detect deterioration early, reward home compliance, and update the AI recovery curve automatically.
Rehabilitation devices speak 12 different data languages. RehabOS acts as the universal middleware layer — translating proprietary APIs, DICOM streams, HL7 messages, Bluetooth BLE packets, and raw sensor data into a single, structured, AI-readable patient record.
RehabOS maintains a growing catalogue of certified device integrations. The table covers confirmed live integrations, active development pipeline, and the open API programme for new devices.
| Device category / type | Rehab application | Data captured by RehabOS | Protocol | Status |
|---|---|---|---|---|
Treadmill robotic gait system Lower limb · neurological | Stroke, SCI, TBI — body-weight supported gait training | Gait kinematics · torque · weight bearing · step count · assistance level | Native API | Live |
Overground exoskeleton Lower limb · ambulatory | Stroke, SCI — real-world gait training with GaitCoach analytics | Step metrics · left/right symmetry · assistive force · GaitCoach scores | Native API | Live |
Full-arm neurorehabilitation robot Upper limb · sensor-based | Post-stroke arm paresis, TBI upper limb — high-rep motor training | ROM · force · VR performance · assistance percentage · session compliance | Native API | Live |
Five-finger hand rehabilitation robot Hand / finger · robotics | Hand paresis — individual digit force and ROM rehabilitation | Individual finger force · passive/active ROM · spasticity grade · session log | CSV → FHIR | Live |
Upper limb assessment system Upper limb · biofeedback | Grip, wrist, and shoulder assessment and training | Grip strength · ROM · wrist force profiles · task scores · tremor index | CSV → FHIR | Live |
Soft robotic ankle exosuit Lower limb · FES + robotics | Post-stroke hemiparesis — plantarflexion and dorsiflexion assist | Assist timing · walking speed · trial outcomes · session duration | Bluetooth | Live |
Assistance-as-needed arm robot Upper limb · neuro · AAN | Neurological arm rehabilitation with real-time biofeedback | Active ROM · movement smoothness · velocity · error rate · assistance level | HL7 FHIR | Live |
Force distribution gait platform Biomechanics · gait lab | Gait symmetry, COP, and balance assessment | COP trajectory · gait symmetry · step width · temporal parameters · balance scores | DICOM / CSV | Live |
Anti-gravity unweighted treadmill Gait · orthopaedic / neuro | Early weight-bearing gait rehabilitation post-surgery and neuro | Body weight % · walking speed · session time · gait mechanics | CSV → FHIR | Live |
Wireless FES foot drop device FES · foot drop · daily wear | Foot drop correction — stroke and MS — in clinic and home | Step detection events · stimulation parameters · daily wear time · compliance log | Bluetooth | Live |
Research-grade IMU wearable Wearable · motion · IoT | Free-living activity monitoring and biomechanical assessment | Acceleration · angular velocity · orientation · activity classification · cadence | BLE gateway | Live |
Ward vitals monitor IoT · ward · inpatient | Continuous inpatient vitals monitoring with alarm integration | HR · SpO2 · BP · RR · ECG trend · alarm events · bedside time series | HL7 v2 / FHIR | Live |
VR neurorehabilitation platform BCI · VR · neurotech | VR-based motor rehabilitation with neural feedback integration | VR task scores · movement quality · engagement index · motor learning curves | REST API | In dev |
3D motion capture system Biomechanics · gait lab | Gold-standard 3D kinematic and kinetic gait analysis | Full 3D joint kinematics · kinetics · EMG · segment angles · gait cycle timing | DICOM / C3D | In dev |
Hybrid assistive limb BCI · exoskeleton · neuro | Bioelectrical signal-driven exoskeleton for SCI rehabilitation | Bioelectrical signals · joint angle assist · walk training log · session metrics | Open API | In dev |
Wearable EEG / BCI system BCI · EEG · neurofeedback | Motor imagery EEG training, neurofeedback, cortical monitoring | EEG band power · motor imagery accuracy · P300 event · BCI trial outcomes | Open API | In dev |
Your device Any category | Any rehabilitation technology — we build the parser with you | Any structured parameter set agreed with your device team | Open API | Open programme |
Connecting devices to RehabOS turns expensive rehabilitation equipment from isolated therapy tools into fully tracked, AI-powered, outcome-producing clinical assets — visible to clinicians, management, and compliance teams at the same time.
Live or in active development across 6 device categories.
From device session end to ICD-coded clinical record update.
ML prediction accuracy with full device data vs clinical notes alone.
Rehab robotics market — RehabOS is the data intelligence layer.
CEO / COO
Investment decisions run on actual ROI, not anecdote. Four figures land in the executive dashboard for every machine on the floor.
Rehab clinicians
RehabOS pulls every parameter straight from the device — gait metrics, force outputs, assistance levels, VR performance scores. You review and approve. The recovery curve updates itself.
IT / integration lead
No custom development per device. No per-integration maintenance. Connectors ship and stay maintained as part of the platform subscription — add a device, we add the connector.
Rehab Software is an AI-powered rehabilitation platform that makes recovery intelligent, measurable, and accessible. Developed by clinicians and technology experts, it streamlines therapy planning, operational workflows, and analytics through a flexible subscription model. The platform is designed for rehabilitation clinics, hospital groups, enterprise healthcare organizations, and Ministries of Health.
Website content reflects RehabOS's vision and intended platform capabilities. All features, outcomes, and integrations described are indicative and subject to client-specific scope and mutually agreed SLAs and KRAs. No clinical outcome is assured unless expressly committed in a signed agreement.
WHO ICD-11 | ICHI Compliant | CARF Accreditation policy | GDPR compliant
World’s first rehabilitation software fully compliant with WHO & CARF
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