Powered by
MediMorphAI
MediMorphAI logo

AI-assisted wound measurement and documentation—built for clinicians.

3D wound modeling, trend analytics, and explainable guidance that fit existing workflows.

Under development; not for diagnostic use.

MediMorphAI
Alpha
Optimal Distance
Lighting: Good
Stability: Ready
Include a reference marker if available

Illustrative UI—no patient data. Not for diagnostic use.

Introducing
MediMorphAI

Clinical-Grade Tools for Wound Care

Designed to reduce burden, improve measurement consistency, and support better outcomes—without replacing professional judgment.

3D Wound Modeling

Automated surface and volume estimates to reduce measurement variance.

Analytics & Trends

Longitudinal views, risk flags, and response-to-care tracking.

Conversational Intake

Patient Q&A transformed into structured, chart-ready output.

EHR-Ready Exports

FHIR-friendly, CSV/JSON formats to minimize double-charting.

Privacy & Security

HIPAA-aligned design, encryption, RBAC, and audit logging.

Clinician-in-the-Loop

Transparent guidance with citations and override capability.

How MediMorphAI Fits Your Workflow

1

Capture

Bedside image capture with guided positioning

2

Compute

Automated metrics and wound characterization

3

Review

Clinician review and approval with override options

4

Export

Direct integration with EHR systems

Clinical Evidence Plan

Rigorous validation with partner sites to ensure clinical fit and performance.

Clinical Fit & Evidence

Workflow Integration

Bedside capture → metrics → draft note → review → export

Validation Focus

Measurement consistency, documentation time, workflow fit

Target Settings

Wound centers, inpatient consults, VA/DoD, SNF

Pilot Metrics (Targets)

10–15s median sizing time
Target
↓ measurement variance vs. manual
Compared to standard ruler/wound measurement tools
↓ double-charting minutes
Reduced documentation burden
Case studies after validation
Partner site outcomes

Illustrative targets; finalize with partner sites & IRB.

Development Roadmap

Decision-grade milestones toward clinical validation and market access. Exit criteria guide each phase transition.

PHASE 1

Now (Alpha)

Alpha
~8–12 weeks
TechnicalClinical
Progress65%
Focus

Bench + synthetic/phantom validation; core UX hardening; design inputs drafted.

Exit Criteria

Measurement workflow stable; preliminary variance targets set; pilot LOIs gathered.

PHASE 2

Near Term (Pilot Prep)

Pilot
~Q2–Q3 2025
ClinicalRegulatory
Progress30%
Focus

IRB/ethics package, DUA/BAA, design controls kickoff, data mgmt & de-ID SOPs, IFU v0.5.

Exit Criteria

Site onboarding complete; training plan approved; pilot protocol ready to execute.

PHASE 3

Regulatory (Validation)

~6–9 months
ClinicalRegulatory
Progress10%
Focus

Multi-site observational data collection; V&V; predicate mapping for 510(k).

Exit Criteria

Pre-specified endpoints met; V&V report; submission dossier assembled.

PHASE 4

Launch (Early Access)

Launch
Post-clearance
CommercialClinical
Progress0%
Focus

Early access cohorts; reference sites; support/readiness; post-market surveillance plan.

Exit Criteria

Go-live checklist passed; support SLAs in place; PMCF/PMS plan active.

• Timeline is illustrative; regulatory clearance not yet obtained.

• No patient data shown.

• Performance metrics represent targets pending validation; no efficacy claims until clinical studies complete.

About Inovasity

We're building assistive AI tools to reduce clinician burden, improve measurement consistency, and support better patient outcomes—without replacing professional judgment.

Interoperable

Built to fit existing systems and workflows

Explainable

Transparent outputs with traceable reasoning

Secure

HIPAA-aligned architecture and data handling

Partner-Driven

Co-developed with frontline clinicians

Frequently Asked Questions

Get in Touch

Interested in early access or partnership? We'd love to hear from you.