Four-second capture
A clinician points an iPhone. A LiDAR burst collects 60 depth frames in about four seconds — no rulers, no disposable markers, no probe in the wound bed.
The wound has depth.
Now your documentation does too.
Wound beds are never uniform. Undermining, tunneling and uneven granulation all change how much volume is really there, and length × width × depth cannot see any of it. AI Wound Scan measures depth point by point across the whole bed from a four-second iPhone scan and adds it up, so you get the true volume along with area, depth and perimeter, each with a confidence interval. The note is written before you leave the room.
- LiDAR burst capture
- 4 s
- LiDAR burst capture
- instrument precision @95%
- ±0.3 mm
- instrument precision @95%
- scan to report
- < 5 min
- scan to report
- Built with an AWS Premier Partner
- FDA 510(k)-ready architecture
initializing 3D viewport…
0
LiDAR depth frames per 4-second burst
0
measurements from a single scan
0+
automated engine tests, six validation layers
0%
of reports carry full provenance + methodology
What it is
A measurement instrument — and the service line built around it.
AI Wound Scan replaces the ruler-and-photo workflow with an objective 3D measurement taken at the bedside, then carries that measurement all the way through the documentation, compliance and supply chain that a wound program actually gets paid on.
Volume the wound actually has
Most tools multiply length × width × depth and call it volume. The engine integrates the depth field across the wound's own topography instead, so an undermined or irregular wound reports what it really holds. Surface area, depth and perimeter come with it, each with a 95% confidence interval.
Documentation that defends itself
Notes and measurement reports generate themselves, carrying methodology and provenance, and lock with a signature inside the 48-hour window auditors look for.
Claims & compliance
HCPCS verification, LCD/NCD alignment, photo and 3D evidence, medical-necessity narratives — scored continuously on every open case instead of discovered at audit.
Graft inventory with UDI
Serial, lot and UDI captured at the point of care, so every graft unit is traceable from manufacturer to application to the claim it was billed on.
The service line around it
Patient and wound tracking with healing trajectories, stalled-wound flags, reporting and analytics, route planning for mobile teams, and a tamper-evident audit chain.
Why nowDocumentation is no longer a clinical nicety.
Documentation is no longer a clinical nicety.
It’s a revenue driver and an audit requirement.
The gap between what current tools provide and what CMS now requires has created a clear opening for an objective, instrument-based measurement platform.
The ruler and the guess
Most practices still measure wounds with a disposable ruler, a tracing, and a photograph. The result is subjective, inconsistent between providers, and has proven inadequate under Medicare audit.
Photos are flat
Photograph-based tools can't capture depth — the dimension most clinically significant for wound severity and product sizing. Claims built on 2D documentation have faced denials when the billed graft area couldn't be substantiated.
Reimbursement changed
Medicare payment for wound graft procedures has declined substantially per square centimeter. Accurate documentation of dimensions — especially depth and peri-wound area — is now directly material to revenue and audit defensibility.
“The same measurement every time the same wound is scanned — by any clinician, on any day. That reproducibility is what makes documentation audit-defensible.”
How it works
Scan to structured report, in five stages.
The full pipeline runs end-to-end on AWS — from LiDAR frames on the device to a defensible measurement report in the portal, typically inside five minutes.
Stage 01 — iPhone · ARKit + LiDAR
Capture
A clinician positions an iPhone over the wound. The app captures a burst of 60 LiDAR depth frames in four seconds, with live motion and fiducial feedback guiding the hold.
- 60-frame multi-frame burst
- Live motion + fiducial guidance
- Offline queue with retry
The deliverable
One scan. Five measurements. A report that stands up.
Every measurement report pairs structured numbers with visual diagrams and a plain-language narrative scoped strictly to objective data — the methodology is disclosed on every page.
measurement_report · MSR-2031 · v1.0
Quality AValues shown are from the bundled synthetic demonstration mesh (~40 × 40 × 12 mm Gaussian wound bed). Hover a metric to highlight it on the diagram.
Live demo — try it
interactive · WebGLThis is the actual portal viewer.
Not a video. The workspace below is the same component clinicians use in the authenticated portal, rendering the engine’s synthetic demonstration mesh. Orbit, toggle depth and tissue layers, cut a cross-section, open the analytics tab.
loading 3D workspace…
Synthetic demonstration mesh (~40 × 40 × 12 mm Gaussian wound bed) — no patient data. Inside the portal, this same workspace renders real captures with full measurement history.
Inside the portal — you’re driving
fully interactive · synthetic data · no PHIThe whole wound service line. One login.
This isn’t a slideshow — it’s the software. Ten working views: EHR-grade patient tracking, audit-safe documentation, the real 3D scan studio, UDI-traceable inventory, claims, analytics, route planning, and the admin console with a live tamper-evidence check. Click anything.
portal.stratametricai.com · Dr. Rachel Morgan · clinician
demo modeClinical Operating Dashboard
Audit-ready by design · Tuesday, May 12, 2026 · everything below is clickable
Recent activity
Quick actions
Documentation compliance
Pre-audit checklists on every open case — HCPCS verification, LCD/NCD alignment, photo + 3D evidence, 48-hour signatures, medical-necessity narratives — scored continuously, not discovered at audit time.
Patient & wound tracking
Every patient, every wound, every visit: healing trajectories against weekly targets, stalled-wound flags, high-risk rosters, and a full measurement history behind each chart.
Inventory & UDI traceability
Serial, lot, and UDI recorded at the point of care. Graft units traced from manufacturer to application to claim — with expiration alerts and waste tracking built in.
Under the hoodBuilt like an instrument,
Built like an instrument,
not a camera app.
Every layer — capture, fusion, segmentation, geometry, provenance — is engineered for reproducibility first, because reproducibility is what auditors, partners, and regulators actually test.
Platform
An end-to-end pipeline, born on AWS.
Designed and built with nClouds, an AWS Premier Consulting Partner: serverless ingestion, an automated processing pipeline, managed AI services for segmentation and narration, and encrypted, lifecycle-managed storage — the same architecture that carries forward into production.
Serverless ingest
scales with scan volume, no idle cost
Managed AI services
segmentation + narration with guardrails
Encryption everywhere
KMS-managed keys, TLS in transit
iOS capture app
SwiftUI + ARKit guided capture with live feedback, probe auto-detect, boundary annotation with ML proposal, and a 15-minute idle session timeout.
Measurement engine
Python FastAPI service — 13 subpackages covering capture, fusion, geometry, quality, ML, storage, and output — with an async worker for heavy fusion jobs.
Provider portal
The Next.js dashboard behind this site: TOTP MFA sign-in, wound trajectory charts, phantom calibration, admin and audit tooling, hardened security headers.
Partnership
Built with nClouds, backed by AWS.
The measurement pipeline was designed and built with nClouds, an AWS Premier Consulting Partner, under an AWS-funded proof of concept. Two engineering teams reviewed the same architecture before a single wound was scanned — the serverless ingest, the segmentation and narration services, and the encryption and key management shown above.
That matters for a reason that has nothing to do with logos. Early-stage clinical software usually asks you to trust a demo. This one was scoped, built and reviewed against AWS engineering standards, and the architecture that carried the proof of concept is the architecture that carries production.
- DevOps
- Data & Analytics
- Migration
- SaaS
Premier tier
nClouds holds AWS Premier Consulting Partner status — the top tier of the AWS Partner Network, held by a small fraction of partners worldwide.
Healthcare AI/ML delivery
A track record of production AI and machine-learning workloads on AWS for healthcare and life-sciences customers, not a first attempt at a regulated domain.
AWS-backed build
The proof of concept was delivered with AWS partner funding support, which is awarded against a reviewed technical scope rather than a pitch deck.
Compliance & trust
Regulatory strategy is an architecture decision.
StrataMetric’s AI Wound Scan was engineered from the first commit for the pathway ahead — internal clinical-decision-support use now, commercial clearance later, with no rewrite in between.
Cures Act §3060 CDSFDA 510(k)-readyHIPAA-grade controls6-year retention
Clinical decision support posture
Operates today under the 21st Century Cures Act §3060 CDS exemption: the clinician retains decision authority, no diagnostic claims are made, and the measurement methodology is transparently displayed in every report.
510(k)-ready architecture
Designed to support an FDA 510(k) submission without rewrite: a bidirectional regulatory traceability matrix, versioned algorithms, and a comprehensive validation harness are part of the codebase — not an afterthought.
HIPAA-grade controls
TOTP multi-factor authentication, role-based access, tamper-evident audit hash chain, encryption at rest and in transit with managed key rotation, and hardened security headers across the portal.
Retention engineered in
Object-locked storage with six-year retention, multi-AZ encrypted databases, VPC isolation with flow logs, and continuous monitoring via CloudWatch, GuardDuty, and Security Hub in the production architecture.
For clinical decision support only. Not for diagnostic use. Clinician retains decision authority. Methodology disclosed in every measurement report.
Why it wins
Strategic value on four fronts.
01
Revenue protection
Objective, instrument-derived measurements create documentation that substantiates billed wound dimensions under CMS audit scrutiny — reducing the claim-denial risk that has hit practices relying on manual tracing.
02
Clinical differentiation
Non-rectangular wound bed area, true depth, and peri-wound area in a single scan — the full three-dimensional wound profile, captured at the point of care. No consumer or clinical smartphone tool offers this today.
03
Operational efficiency
One scan replaces manual measurement, photography, diagram drawing, and manual entry. Automated measurement and diagram generation hands hours back to clinicians and documentation staff every week.
04
Investor & partner narrative
A working demonstration of LiDAR wound measurement on AWS, built with an AWS Premier Partner, is concrete technical evidence — for fundraising, clinical partnerships, and the regulatory conversations that follow a successful proof of concept.
StrataMetric
See the platform with your own cases.
Providers with an account can sign in to the portal now. If you’d like access — or a guided walkthrough for your practice, network, or investment team — we’ll set it up.