Selected for Corti's Startup Acceleration Program
THE EMR
that listens.
PhysioAI is building an intelligent clinical operating system for physiotherapists — building on healthcare-native AI infrastructure from Corti, through its Startup Acceleration Program.
PhysioAI · Consultation — R. Sharma · LBP Follow-up
Live consultation
Patient + Physiotherapist
AI-assisted. Clinician-controlled.
LIVE CLINICAL CONTEXT
- Low back pain
- 6-week history
- Aggravated by flexion
- Morning stiffness
- Previous exercise therapy
EVERY USER · FREE
EVERY PHYSIOTHERAPIST GETS their own website.
Answer a short guided setup once — your public profile goes live at physioai.in/profiles/your-name, ready to share with patients and colleagues.
01 · YOU
Name, title and photo
Patient-first bio — AI polishes it
Years practising
02 · CREDENTIALS
Qualifications and certifications
Registration number for trust
Specializations and languages
03 · PRACTICE
Clinic, location and type
Services, fee and availability
Booking number and email
Home visits and online consults
04 · CLAIM
Your URL — physioai.in/profiles/you
Live availability check
Template: editorial, clinical, modern, minimal
Answered once — live instantly. View Profile, Copy Link, Edit Profile anytime. Anyone can open it, no login needed. Completely free of cost.
THE PROBLEM
PHYSIOTHERAPISTS DIDN'T BECOME CLINICIANS TO BECOME data entry operators.
Every consultation generates history, symptoms, findings, limitations, outcome measures and plans — yet too much of it is reconstructed from memory after the patient leaves. Drag the divider.
Patient care
Why you became a clinician.
Documentation
What eats the evening.
Documentation creep · 50%
“The note grows. The evening shrinks.”
AI should remove documentation friction — not remove the clinician.
BUILT ON CORTI
Two layers of intelligence.
One clinical workflow.
Corti's infrastructure in — PhysioAI's physiotherapy product out.
The physiotherapy intelligence layer clinicians actually touch — patient context, knowledge, workflows, outcome measures, protocols, EMR.
PATIENT CONTEXT
PHYSIOTHERAPY KNOWLEDGE
CLINICAL WORKFLOWS
OUTCOME MEASURES
REHABILITATION PROTOCOLS
EMR
= An AI-native physiotherapy EMR
PhysioAI has been selected for Corti's Startup Acceleration Program — which means API access to Corti's healthcare-native capabilities. PhysioAI independently builds the physiotherapy-specific product and workflow layer on top. Selection into the program is not a partnership, investment, or acquisition.
WHAT IS CORTI?
Built for healthcare.
Not adapted to it.
Corti is a healthcare AI research and infrastructure company building clinical-grade AI for real-world healthcare workflows.
2016
Founded
100M+
Patients served annually
1M+
Healthcare interactions / week
95+
Team members
9
Countries
Figures as reported by Corti — see corti.ai for current data.
AT THE CENTER — SYMPHONY
SYMPHONY
Clinical AI foundation
01
Speech-to-Text
Understand clinical conversations in real time.
02
Text Generation
Turn clinical facts into structured documentation.
03
Medical Coding
Convert clinical information into structured coding outputs.
04
Agentic Workflows
Build AI systems that can reason and act across clinical workflows.
Capability descriptions based on Corti's public platform documentation — corti.ai
WHY CORTI MATTERS FOR PHYSIOAI
We don't need another chatbot.
We need clinical infrastructure.
PhysioAI is not putting a generic chatbot inside an EMR — we're building an intelligence layer around the physiotherapist's actual workflow.
LISTEN
Capture the clinical conversation.
UNDERSTAND
Extract relevant clinical facts.
STRUCTURE
Turn conversation into usable information.
DOCUMENT
Generate structured clinical documentation.
REASON
Surface context, guidelines and workflow intelligence.
ACT
Automate appropriate administrative follow-up.
Always with the clinician in the loop.
THE FUTURE PHYSIOAI CONSULTATION
FROM CONVERSATION
TO clinical record.
Planned future workflow — being built, designed around clinician review at every step.
PATIENT ARRIVES
Patient profile opens
The full context is already there — no hunting through files.
R. Sharma · 42 · Low back pain
3 previous visits · Oswestry 32% · McKenzie extension protocol
CONSULTATION BEGINS
Ambient listening
Physiotherapist and patient talk naturally. Nothing to type.
Ambient listening · nothing to type
CLINICAL FACTS EMERGE
Subjective + Objective surface live
Conversation becomes structured clinical information — as it happens.
Subjective
- ✓ Pain 5/10
- ✓ 6-wk history
- ✓ Flexion aggravates
- ✓ Extension eases
Objective
- ✓ Lumbar flexion ↓
- ✓ MMT 4/5
- ✓ SLR negative
- ✓ Gait antalgic
STRUCTURED NOTE
SOAP draft — review required
AI proposes. The clinician disposes. Every finding is editable.
Structured note · SOAP
AI-generated draft — review requiredSubjective
LBP 5/10, 6-wk history. Flexion aggravates, extension eases. Morning stiffness ~30 min.
Objective
Lumbar flexion limited, MMT 4/5 extensors, SLR neg. Gait mildly antalgic. [Review required]
Assessment
Mechanical LBP, improving tolerance. Functional sitting goal pending. [Clinician to confirm]
Plan
Continue ext. protocol, progress HEP, Oswestry in 2 wks, review in 7 days.
CLINICAL WORKFLOW
Plan organizes itself
Treatment, exercises, education and follow-up — structured, not scattered.
Treatment protocol, home program, education and follow-up — organized, not scattered.
PATIENT LEAVES
Continuity continues
The patient leaves with clarity. The record stays complete.
The patient leaves with a visit summary, home plan and next appointment — the record stays complete.
One consultation. One structured clinical record. Less administrative friction.
THE PHYSIOAI EMR
Not just an electronic medical record.
An intelligent clinical workspace.
Clinic OS is neurology-focused today — Stroke, Parkinson's, MS, SCI and TBI — with MSK, sports and more on the way. Phone-first on iOS and Android, fully customisable to your clinic.
Real Clinic OS screen — Overview
Morning command centre — greeting, live caseload count, today's schedule.
New patient
Intake in under a minute
SOAP note
Stamped, clinician-attributed
BBS / risk
Score 0–56, risk updates itself
Assign protocol
Start a rehab plan
Live counts for active patients, sessions today, high fall risks and average adherence — plus the patient queue and open rehab plans with one-tap session logging.
Safety alerts. A Berg score of 40 or below raises a fall-risk alert on its own — nothing to remember, nothing to chase.
Where the Corti layer takes this
Get started
First 3 months free at launch.
No cost today. No payment details. A 5–7 minute discovery — your answers shape the workflows we build next.
Who it's for
Neuro physiotherapy clinics and solo practitioners treating Stroke, Parkinson's, MS, SCI and TBI — from Acute through Community Integration — who want a physio-native EMR instead of a generic hospital system.
Phone-first on iOS and Android · desktop platforms and hospital integrations on the roadmap · demo patients clearly labelled as specimens.
PhysioAI EMR / PhysioAI Clinic OS — Your clinic. Your workflow. Your software.
Your clinic. Your workflow. Your software.
PhysioAI builds custom clinical software around the way your clinic actually works — not the other way around. PhysioAI Clinic OS is a physio-first EMR — 1-minute patient intake with AI voice, bedside SOAP notes, 14-item Berg Balance scoring with auto fall-risk alerts, 5 neuro rehab protocols + 111-exercise library, live schedule, INR billing, and nightly research feed — in one phone-first app.
iOS + Android, phone-first. Built for physiotherapy, solo clinics + small practices. Last verified: September 2026 launch build. Fully customisable. Fully supported by PhysioAI.
Intake, SOAP, BBS, protocols, schedule, billing — in your pocket. Built for Stroke, Parkinson's, MS, SCI, TBI — Acute to Community Integration. Speak naturally. AI fills the form. You review before anything saves.
Who it's for
Solo physiotherapists + small neuro / ortho / sports clinics in India treating Stroke, Parkinson's, MS, SCI, TBI, plus MSK / Sports / Cardio / Respiratory / General. Acute → Subacute → Chronic → Community Integration. Clinicians who want a physio-native Clinic OS, not a generic hospital EMR. Built for clinics that do home visits + online consults + in-clinic sessions.
App navigation at a glance — 5 tabs
Bottom nav is glass, phone-first single column. No sidebar.
Home — Home (home)
Greeting, quick actions, metrics, alerts, queue, open plans, today’s schedule, voice intake
Patients — Patients (users)
Searchable caseload, filters, full patient chart, SOAP timeline, assessments
EMR — EMR (layers)
Library toggle: Protocols + Exercises
Revenue — Revenue (dollar-sign)
Collections, outstanding, transactions, record entry
Advances — Advances (via Home) (—)
Live research literature feed with AI summaries
Bio / Profile — Avatar header (avatar)
Public profile page, edit, copy link, settings, subscription, legal, support
Home / Overview — daily command centre
Good morning, clinician + weekday · N active patients. All open as bottom sheets (max 88% height).
Quick actions (no leaving Home)
- 01New patient — Intake in under a minute — name, age, gender, category, condition, stage, risk, chief complaint → instant add
- 02Voice intake — Speak naturally, AI fills form — mic button opens live AI agent sheet
- 03SOAP note — Subjective, Objective, Assessment, Plan — patient picker + S/O/A/P → one-tap save
- 04BBS / risk — Score and update fall risk — patient picker + BBS score + note → auto-updates risk + may raise alert
- 05Assign protocol — Start a rehab plan — patient picker + protocol + frequency + total sessions
- 06Appointment — Book a clinic visit — patient picker + date + time + type (Follow-up etc.) → appears in Today’s Schedule
Live metrics (2×2 grid)
Active Patients
live caseload count
Sessions Today
live count from emr_appointments for today (excludes cancelled)
High Fall Risks
red highlight when >0
Avg Adherence
mean adherence across all assigned protocols (fallback 92% when empty)
Safety Alerts that act: FALL RISK / SPASM ALERT / FREEZING EPISODE / Fall Risk Update. High red, medium amber, low green. Tap card → opens patient chart. Dismiss removes it. Empty: All Patients Stable. Auto-alerts: any BBS ≤40 creates Fall Risk Update (≤20 high, 21–40 medium).
Patient Queue (top 4): avatar + name + condition · stage · risk + latest BBS · N notes + OPEN → full chart.
Open Rehab Plans: patient — protocol + progress bar + done/total · adherence% + Log → +1 session, auto-complete at 100%.
Today's Schedule (live): live from emr_appointments, excludes cancelled. Time · type, avatar + name, progress, PENDING/DONE pill, View profile + Log session. Walk-ins allowed, clinic/home/online, scheduled/completed/cancelled/no_show.
Patients — caseload + full chart
List: PhysioAI Clinic OS / Patients + Add. Search name or condition. Condition chips: All, Stroke, Parkinson's, MS, SCI, TBI. Category system (voice + quick intake): MSK / Sports / Neuro / Cardio / Respiratory / General — ~50 conditions. Card: avatar, name, age · gender · condition, protocol count, risk pill, OPEN.
Add-patient sheet: Name*, Age*, Gender chips, Category → Condition chips + Other, Stage (Acute/Subacute/Chronic/Community Integration), Fall risk, Chief complaints → prepended, attributed to clinician.
Full chart: 52px avatar, stage switcher chips, meta (Stage | Admitted | latest BBS), chief complaint in quotes. Protocols (+ Assign: frequency default 3x/week, total 24) with progress + Log session / COMPLETED. SOAP newest-first with therapist stamp (S or O required). Assessment history with per-item details. Exercise prescriptions with sets/reps/dosage/cues. Home programs with snapshot. Delete confirmed (RESTRICT-protected history).
Chart depth: demographics, contact, informant, onset, complaints, medical/surgical history, allergies, place/time/duration/facility/management/medication/doctor/discharge, personal + physio history, HMF, cranial nerve, sensory, reflexes, motor tone/tightness, voluntary control/MMT, Romberg / tandem / single-limb / TUG / balance scales / SARA / involuntary movements / functional assessment / goals.
Clinical — Berg Balance Scale scorer
Clinical — Berg Balance Scale · 14 items · max 56. Patient picker + live total + Save. Risk ≤20 High, 21–40 Medium, 41–56 Low. Auto-updates patient risk + raises alert. Recent 5 per patient with JSON breakdown. Roadmap reserves BBS | FMA | NEURO_ASSESSMENT | MMT | FUNCTIONAL.
01 / 14 · 0–4
Sitting to standing
Please stand up. Try not to use your hands for support.
02 / 14 · 0–4
Standing unsupported
Please stand for two minutes without holding on.
03 / 14 · 0–4
Sitting with back unsupported
Please sit with arms folded for two minutes.
04 / 14 · 0–4
Standing to sitting
Please sit down.
05 / 14 · 0–4
Transfers
Move from chair to chair (with and without armrests).
06 / 14 · 0–4
Standing with eyes closed
Close your eyes and stand still for 10 seconds.
07 / 14 · 0–4
Standing with feet together
Place your feet together and stand without holding.
08 / 14 · 0–4
Reaching forward
Reach forward as far as you can without falling.
09 / 14 · 0–4
Retrieving object from floor
Pick up the shoe/slipper placed in front of your feet.
10 / 14 · 0–4
Turning to look behind
Look behind you over each shoulder.
11 / 14 · 0–4
Turning 360 degrees
Turn completely around in a full circle, pause, then turn the other way.
12 / 14 · 0–4
Placing alternate foot on stool
Place each foot alternately on the stool. 8 steps total.
13 / 14 · 0–4
Tandem standing
Place one foot directly in front of the other.
14 / 14 · 0–4
Standing on one leg
Stand on one leg as long as you can without holding.
Library — Protocols + 111 Exercises
EMR tab toggle: Protocols | Exercises. Custom creators for both; prescriptions snapshot so library updates never break history.
P-1 — Post-Stroke Gait & Balance Recovery
Stroke, 8 weeks, 3x/week
Body-weight support treadmill training (BWSTT), NMES, visual feedback for hemiparetic gait.
- Body-weight support treadmill walking (15 mins)
- Ankle dorsiflex with biofeedback (10 mins)
- Paretic limb weight-bearing and stepping drills (10 mins)
- Perturbation training for reactive balance (10 mins)
🎯 Independent community ambulation without assistive device, BBS >45/56.
P-2 — LSVT BIG Protocol
Parkinson's, 4 weeks, 4x/week
High-amplitude movement training for bradykinesia/hypokinesia.
- Maximal functional large-amplitude movements (15 mins)
- LSVT BIG directional walking with arm swings (15 mins)
- Postural alignment and spinal extension stretches (10 mins)
- Dual-task walking — counting backwards (10 mins)
🎯 Fewer freezing (FOG) episodes, longer stride, better UPDRS motor score.
P-3 — MS Energy Conservation & Stability
Multiple Sclerosis, 12 weeks, 2x/week
Aerobic + core stability with pacing to fight neuro-fatigue.
- Core stabilization pilates floor work (15 mins)
- Recumbent bicycle ergometer with cooling vest (15 mins)
- Pacing + functional transfer practice (10 mins)
- Cool-down stretches + diaphragmatic breathing (10 mins)
🎯 Fatigue ↓20%, better sitting/standing posture.
P-4 — SCI Locomotor & Spinal Loading
Spinal Cord Injury, 10 weeks, 3x/week
Weight-bearing + neurosegmental stimulation for incomplete SCI (AIS C/D).
- Robotic exoskeleton walking (20 mins)
- Standing frame weight-bearing with vibration (15 mins)
- PNF patterns (10 mins)
- Trunk control + seat-balance (10 mins)
🎯 WISCI II level ↑, lower-extremity motor scores ↑.
P-5 — TBI Cognitive-Motor Dual-Tasking
Traumatic Brain Injury, 6 weeks, 3x/week
Balance + vestibular + executive function for dynamic real-world environments.
- Balance board + catch/throw tennis ball (15 mins)
- Obstacle course + verbal memory tasks (15 mins)
- VOR gaze stabilization (10 mins)
- Reactive agility ladder (10 mins)
🎯 DGI >19/24, normal cognitive processing during mobility.
Exercise library — 111 curated: live from Supabase physioai_exercises. Search name / body part / category. Filters: All, Shoulder, Arm, Hand, Spine, Hip, Knee, Ankle, Balance, Gait, Other. Card: name, bodyPart, category, dosage, difficulty, equipment, instructions + cues. Assign: patient + sets 3 + reps 12 + duration/frequency/load/instructions/precautions → emr_exercise_prescriptions. Custom exercise creator included.
Revenue — collections & outstanding (INR-first)
Reads emr_invoices + emr_payments. Hero: Total collected (₹ en-IN), N payments · collectionRate%. Metrics: Pending (₹ + count) | Total billed. Filters: All | Paid | Pending. List: patient + label, amount, date + method, PAID/ PENDING tap-to-toggle. Record modal: patient, Description*, Amount ₹*, Paid/Pending, Cash/UPI/Card/Other → invoice + payment linkage. Model: emr_invoices (unique invoice_no, draft/issued/paid/partially_paid/overdue/void) + emr_payments + emr_revenue ledger (SET NULL preserves history). India-local: ₹ en-IN, UPI first-class.
Appointments & home visits
Book from Home: patient + date + time + type. Today's Schedule live, excludes cancelled. Types: clinic / home / online, address + notes, walk-ins allowed. Home visits log: emr_home_visits with fee + completed_at. Practice config: emr_settings (currency, Asia/Kolkata, slot/buffer, reminders) + emr_availability (weekday 0–6, start/end, location_type).
AI Voice Intake — new patient in under 60 seconds
ElevenLabs Agents over WebRTC via short-lived emr-conversation-token, fallback to chunked STT / Corti medical STT. Secrets never on device. Flow: LIVE VOICE AGENT → AI EXTRACTION → PREFILLED REVIEW → CONFIRM → SAVE. Record: orb, Listening/Ready/Speaking, timer, live transcription, transcript last 6 lines, live draft (Name/Age/Sex/Occupation/Complaint/Region/Pain/Function/Goal). Smart interview: one compact dump first (name, age/sex, occupation, complaint, region/side, onset, mechanism, NPRS, severity, aggravating/relieving, irritability, history, meds/allergies, red flags, neuro/systemic/trauma, ADL limits, goals), then 2–3 follow-ups. No diagnosis, no invention. Extraction: temp 0 JSON, 40 nullable fields, null if not mentioned, range-validated (age 0–130, pain 0–10, 500-char). Errors: CORTI_UNAVAILABLE / TRANSCRIBE_FAILED / AI_UNAVAILABLE. Review: N fields filled, area + condition chips, editable, AI Pre-filled badge, duplicate protection (View / Continue as new / Back), disclaimer, Save — nothing persists until tap. Fallbacks: Continue manually, paste/type. After save: refresh + auto-select + open chart.
Advances — live research you can use
No hardcoded articles. Reads emr_research_articles (pg_cron sync OpenAlex + Europe PMC + PubMed + SemanticScholar, dedupe + scoring + tsvector), saves in emr_saved_research. Search debounced 450ms + Search live literature when <5 results. Category chips + Filters (recency, evidence, open access). Cards: date pill, title, 2-line summary, read mins · evidence · journal, authors, abstract, AI summary (title+abstract only, temp 0.1), provenance, Save, Full paper. Share to plan: pick patient + note → SOAP Plan. Saved (N) private, free. Load more +60, pull-to-refresh.
Public profile / Bio — get discovered
22-step Typeform onboarding: name → title → bio (+ AI rewrite) → years → qualifications → registration → certifications → specializations → languages → location → clinic → practice type → services → fee (₹ slabs + custom) → phone → email → home visits → online → availability → photo → claim slug (live check). 4 designer templates. Live at physioai.in/profiles/slug (published=true only). Bio tab: live page + Edit + Copy link. Trust: registration, qualifications, specializations — India-specific.
Privacy, subscription, support & craft
Auth & security: email + Google + Apple PKCE, auth.physioai.in proxy, therapist_id = auth.uid() + triggers + 60+ RLS, User A/B isolation verified. Soft-delete patients; clinical/financial RESTRICT; ledger SET NULL. emr_public_profiles only public-safe fields. SecureStore session, no LLM keys on device, JWT + quota gated. DPDP-aware + web policies.
Subscription emr_pro: RevenueCat entitlement, UID binding, restore + Customer Center, PaywallScreen store-price copy, Razorpay web split, check_and_increment_usage RPC (401/429), free lifetime vs paid daily pools.
Comms & stability: emr_communications (WhatsApp/SMS/push/call), Intercom JWT 10m + badge, Amplitude + replay, n8n revenue webhook, Sentry + EAS OTA 1.0.2 (v4).
Design: EMR_BW black-white, radius 18/16, SF Pro + Bodoni italic (#C14728/#E8662F), clinician attribution, gender avatars, Reanimated + haptics + reduce-motion, single-column sheets, SafeArea + glass nav. Permissions: Camera (SOAP photos), Mic (intake), Photos, with clinical copy.
How it works — 3 steps
- 1. Get access — email, 22-step profile, claim physioai.in/profiles/you, publish
- 2. Load caseload — speak intake (<60s) or add in <1 min, condition + stage + risk, duplicate-safe
- 3. Run the day — SOAP at bedside, BBS auto-risk, assign protocol, log from Home/Schedule, record collections, check Advances, share paper to plan
Feature grid — 6 cards
01
Morning Overview
greeting, live caseload, 5 quick actions + voice, 2×2 metrics, alerts, queue, open plans, live schedule
02
Safety Alerts that act
fall/spasm/freezing flags, tap-to-chart, dismiss, auto-raise on low BBS
03
Patients in one tap
search + neuro filters, risk pills, full chart with stage switcher, protocols, SOAP timeline, assessment history
04
Bedside BBS scorer
14 Berg items 0–4, live /56 + HIGH/MEDIUM/LOW, save auto-updates risk
05
Protocol + Exercise library
5 neuro protocols with timed drills + targets + custom creator; 111 exercises with dosage/difficulty/equipment + prescribe + custom creator
06
Billing + Research
INR collections with UPI + collection rate + paid/pending toggle; live literature with AI summaries + save + share-to-plan
FAQ — honest
Is this a full hospital EHR?
No — physio-first Clinic OS: intake, SOAP, BBS, protocols, exercises, appointments, billing, alerts, research, public profile. No insurance claims, pharmacy, FHIR/HL7, multi-branch RBAC yet.
Does it sync?
Yes — private workspace syncs via Supabase with therapist-isolated RLS. Public profile publishes separately.
Can I create my own protocols/exercises?
Yes — both have custom creators; prescriptions snapshot so library updates never break history.
Which assessments?
BBS fully scored in-app; FMA/MMT/neuro/functional reserved in model (roadmap).
Is AI safe?
Extractor returns null if not mentioned, never invents diagnosis/meds/scores, range-validated server-side, every AI field badged + reviewed before save. Research summaries use title+abstract only.
Multi-user clinic?
Solo mode today (therapist_id ownership). Org/branch RBAC is additive future — no rebuild needed.
My data private? Platforms?
Private tables owner-only; anon blocked. Only published fields are public. iOS + Android via Expo/EAS, OTA updates.
Demo caseload — for screenshots
4 specimen patients, 6 SOAP notes, 6 BBS assessments, 3 starter alerts. Alerts: Fall Risk (38 high caution), Spasm Alert (MAS 2), Freezing Episode (home FOG).
Specimen 1, 62M, Stroke Subacute High
BBS 30→38, 14/24, 87% — left hemiparetic gait + foot drop, NMES tibialis anterior
Specimen 2, 55F, Parkinson’s Chronic Medium
BBS 41→45, 32/48, 94% — freezing in doorways, LSVT BIG + dual-task
Specimen 3, 38M, SCI C7 AIS D Acute High
BBS 12, 8/30, 80% — LiteGait harness, MAS 2 quads
Specimen 4, 44F, MS Community Low
BBS 48, 16/24, 100% — heat fatigue MFIS 7/10, cooling-vest cycling
Screenshot checklist: Overview (metrics + alerts + schedule), Patient chart + SOAP, Clinical live-total + 0–4, expanded protocol + green target, Exercise dosage, Revenue hero + transactions, Voice intake pre-filled badges, Advances AI summary, Public profile template.
Spec table
Name
PhysioAI EMR / PhysioAI Clinic OS
Version
1.0.2 (versionCode 4 / buildNumber 4, runtimeVersion 1.0.2)
Bundle
com.physioai.emr
Stack
Expo 57 / React Native 0.86 / React 19 / Supabase Postgres + RLS + Edge Functions / RevenueCat / ElevenLabs + Corti / Gemini + Pinecone / OpenAlex + EuropePMC + PubMed + S2
Auth
Supabase PKCE + Google/Apple, custom domain, SecureStore
Billing
RevenueCat emr_pro native + Razorpay web, INR + UPI
Data
17 emr_* tables + physioai_exercises (111) + protocol_library (5) + emr_research_articles cache
Support
Intercom + Amplitude + Sentry + n8n revenue webhook
Legal
physioai.in/emr/privacy-policy, /terms-of-service, /delete-account — support@physioai.in
Permissions
Camera, Mic, Photos, Notifications, Billing, Network, Bluetooth, Vibrate
Generated for landing-page publishing. Copy sections verbatim. For claims, cite in-app strings above — no invented metrics.
CLINICAL INTELLIGENCE
THE EMR SHOULD UNDERSTAND THE PATIENT JOURNEY.
Visit 01
01 — Initial assessment
Baseline · NPRS 7/10 · Oswestry 38%
Visit 02
02 — Pain ↓
NPRS 5/10 · tolerance improving
Visit 03
03 — ROM ↑
Flexion +20° · sitting 30 min
Visit 04
04 — Functional goal achieved
Sit 45 min · Oswestry 24%
Baseline · NPRS 7/10 · Oswestry 38%
NPRS 5/10 · tolerance improving
Flexion +20° · sitting 30 min
Sit 45 min · Oswestry 24%
Surfacing what's changed, what's working — and what still needs attention.
Patient journey
Symptoms → Examination → Treatment → Outcome measures → Adherence → Progress. Connected across visits — so the record reasons longitudinally, not visit-by-visit.
PHYSIOTHERAPY-SPECIFIC INTELLIGENCE
Generic healthcare AI isn't enough.
Corti provides the healthcare-native foundation. PhysioAI adds the domain-specific intelligence that makes it useful in a physio room.
PHYSIOTHERAPY KNOWLEDGE
Assessment, rehabilitation, exercise and manual-therapy concepts — modeled for physio, not general medicine.
FUNCTIONAL OUTCOMES
Berg, FMA, MMT, ROM, pain and functional goals — tracked across every visit.
REHABILITATION
Protocols, programs, progressions and patient education — in one place.
CLINICAL DOCUMENTATION
SOAP, assessments, progress notes, discharge and referrals — structured by default.
CORTI'S AGENTIC LAYER
From AI that answers
to AI that works.
Corti's agentic infrastructure enables healthcare applications to build specialized agents that can reason across clinical and operational workflows.
Documentation Agent
Patient Summary Agent
Note Completeness Agent
Treatment Planning Assistant
Patient Education
Follow-up Agent
Referral Generator
Clinical Knowledge Assistant
Potential workflow capabilities — where this architecture can take PhysioAI. Not all agents are deployed today; each ships only with clinician review built in.
SAFETY & CLINICIAN CONTROL
AI assists.
The clinician decides.
PhysioAI is being designed around clinician-in-the-loop workflows. AI can capture, structure and surface information, but clinical decisions remain with the qualified healthcare professional.
- ✓Editable notes
- ✓Clinician review
- ✓Structured outputs
- ✓Auditability
- ✓Human oversight
Compliance capabilities described here apply to Corti's infrastructure as stated by Corti — not automatically to PhysioAI. No regulatory approval is claimed.
Nothing finalizes without review.
THE CORTI STARTUP PROGRAM
Built with the infrastructure
of a healthcare AI lab.
Selected for the Startup Acceleration Program
PhysioAI has been selected for Corti's Startup Acceleration Program — access to healthcare-native AI infrastructure, technical expertise and resources to accelerate the next generation of physiotherapy software.
Healthcare-native AI models — purpose-built for clinical language.
API access — build directly on Corti's platform.
AI architecture guidance — design review from a healthcare AI lab.
Startup credits — runway to experiment and build.
Founder ecosystem — a network of healthcare builders.
Potential enterprise network access — paths to real-world deployment.
Corti's Startup Acceleration Program provides eligible startups with up to $5,000 in API credits for 12 months and is a no-equity program. Selection into the program is not a partnership, investment, or acquisition.
WHAT THIS MEANS FOR A PHYSIOTHERAPIST
So what actually changes?
With PhysioAI — assisted & reviewed
Patient arrives
PhysioAI understands the context
Consult naturally
Clinical facts are structured
AI drafts documentation
Clinician reviews
Treatment plan is organized
Patient receives personalized instructions
Follow-up continues through the same clinical record
The goal isn't to replace the physiotherapist.
“It's to give the physiotherapist more time to be one.”
THE LONG-TERM VISION
THE OPERATING SYSTEM
FOR physiotherapy.
“From the first conversation to the last outcome.”
We believe the future of physiotherapy software isn't a collection of disconnected tools — it is one intelligent clinical workspace that understands the patient journey. PhysioAI is building toward that future.
ROADMAP
Where this is going.
Roadmap directions — not already-shipped features. We build in the open and ship with review built in.
NOW · In progress
AI-powered physiotherapy education
Clinical knowledge infrastructure
Physiotherapy EMR
Ambient documentation infrastructure
NEXT · Being built
AI clinical documentation
Longitudinal patient intelligence
Smart clinical workflows
Patient engagement
Intelligent protocols
FUTURE · Direction
Agentic clinical workflows
Predictive patient insights
Cross-visit reasoning
Intelligent rehabilitation systems
THE NEXT GENERATION
OF PHYSIOTHERAPY
SOFTWARE IS being built.
Healthcare-native AI infrastructure.
Physiotherapy-native intelligence.