Product

The only wound care AI platform that does it all.

Chronic wound management and post-surgical monitoring. Built for clinicians, designed for payers.

Clinical accuracy
CE IIa · FDA cleared
Clinical Decision Support
Coming soon
Remote monitoring
Chronic wound care · CE Class IIa

From photo to payer-ready report in 3 minutes.

For mobile wound care providers, outpatient clinics, and home health teams managing chronic wounds.

1

Medical photography

  • Captured directly in the Pixacare app — never stored in personal galleries
  • Automatically tagged with patient, date, time, and visit context
  • Fully traceable from day one — audit-ready, HIPAA-compliant, defensible
2

Documentation

  • Structured clinical notes captured at the point of care
  • ICD-10 & CPT codes automatically generated
  • Built-in audit trail on every visit — no missing data
3

AI Measurement

  • Automatic wound segmentation and surface measurement in cm²
  • Tissue classification: granulation, fibrin, necrosis
  • Clinically validated (ICC > 0.9) — no manual tracing required
4

ePRO

  • Patient-reported outcomes collected between visits
  • Pain scores, functional status, treatment tolerance
  • Automatically structured and timestamped
5

Automated Clinical Alerts

  • Real-time alerts: necrosis, stagnation, SSI risk
  • Smart triage: urgent / monitor / stable — per patient
  • Clinicians focus only on what requires attention
6

Clinical Guidance

  • Evidence-based dressing protocols suggested automatically
  • Cost-effective alternatives highlighted
  • Every recommendation validated by clinicians before use
7

Report

  • Payer-ready in under 3 minutes
  • WOCN & NPIAP compliant documentation
  • Ready for audits, ACO review, and payer negotiations
Pixacare Device mockup #3 – clinical wound documentation on the AI wound care appPixacare Device mockup #1 – AI-powered wound care platform interface on mobile devicePixacare Device mockup #2 – wound monitoring dashboard with AI measurement on smartphonePixacare Device mockup #4 – AI wound assessment screen on mobile for wound care teamsPixacare Device mockup #5 – wound care monitoring interface showing healing progressionPixacare Device mockup #7 – wound care AI platform screen with clinical data and wound imagesPixacare Device mockup #6 – AI-powered wound monitoring platform on tablet and mobile
Sample data for illustration purposes only.
Pixacare Device mockup #3 – clinical wound documentation on the AI wound care app
Sample data for illustration purposes only.
  • Captured directly in the Pixacare app — never stored in personal galleries
  • Automatically tagged with patient, date, time, and visit context
  • Fully traceable from day one — audit-ready, HIPAA-compliant, defensible
Pixacare Device mockup #1 – AI-powered wound care platform interface on mobile device
Sample data for illustration purposes only.
  • Structured clinical notes captured at the point of care
  • ICD-10 & CPT codes automatically generated
  • Built-in audit trail on every visit — no missing data
Pixacare Device mockup #2 – wound monitoring dashboard with AI measurement on smartphone
Sample data for illustration purposes only.
  • Automatic wound segmentation and surface measurement in cm²
  • Tissue classification: granulation, fibrin, necrosis
  • Clinically validated (ICC > 0.9) — no manual tracing required
Pixacare Device mockup #4 – AI wound assessment screen on mobile for wound care teams
Sample data for illustration purposes only.
  • Patient-reported outcomes collected between visits
  • Pain scores, functional status, treatment tolerance
  • Automatically structured and timestamped
Pixacare Device mockup #5 – wound care monitoring interface showing healing progression
Sample data for illustration purposes only.
  • Real-time alerts: necrosis, stagnation, SSI risk
  • Smart triage: urgent / monitor / stable — per patient
  • Clinicians focus only on what requires attention
Pixacare Device mockup #7 – wound care AI platform screen with clinical data and wound images
Sample data for illustration purposes only.
  • Evidence-based dressing protocols suggested automatically
  • Cost-effective alternatives highlighted
  • Every recommendation validated by clinicians before use
Pixacare Device mockup #6 – AI-powered wound monitoring platform on tablet and mobile
Sample data for illustration purposes only.
  • Payer-ready in under 3 minutes
  • WOCN & NPIAP compliant documentation
  • Ready for audits, ACO review, and payer negotiations
AI-powered wound analysis
CE Class IIa · FDA cleared

Clinical accuracy you can trust.

Pixacare's AI measures chronic wounds with the precision of an expert clinician — automatically, from a smartphone photo. CE Class IIa certified. FDA cleared.

Icon: wound surface measurement – Pixacare AI wound care platform tissue area calculation

Surface measurement

Wound area in cm² — automatic, no ruler.
Icon: wound tissue analysis – Pixacare AI wound care platform automated tissue type classification

Tissue classification

Granulation · Fibrin · Necrosis — segmented and quantified.
Icon: wound care velocity and speed – Pixacare AI platform rapid wound assessment for clinicians

Healing velocity

Progress tracked visit-to-visit. Trends surfaced automatically.
Icon: wound care regulatory compliance – Pixacare AI platform FDA and medical device certification

Regulatory-grade AI (CE IIa + FDA)

Regulatory-validated for clinical use. ICC >0.9 vs expert.
Remote monitoring

Monitor every patient remotely. Intervene only when needed.

Continuous panel monitoring — without extra visits. ePRO between encounters. Alerts only when action is needed.

Icon: wound care secure messaging – Pixacare AI wound care platform clinical collaboration chat
ePRO
Patient self-assessment between visits
  • Pain, functional status & tolerance — logged from home
  • No phone call, no manual input
  • Linked to visit data · feeds ACO dashboards
Icon: wound care alerts and notifications – Pixacare AI wound monitoring real-time clinical alerts
Clinical Alerts
Automated clinical alerts
  • Alert only when threshold crossed: necrosis, no progression, SSI
  • Triage: urgent / monitor / stable per patient
  • 88% of panel needs zero action today
Pixacare wound care platform – patient triage screen for AI-powered wound monitoring in hospital
Icon: wound healing time reduction – Pixacare AI wound monitoring platform efficiency gain
55%
Fewer unnecessary visits
Maxant et al., Int Wound J, 2025
Icon: fast wound care assessment – Pixacare AI platform accelerates wound evaluation workflow
33%
Faster wound healing
Faster wound healing
Icon: wound care dashboard – Pixacare AI-powered wound monitoring analytics for care teams
Real-time
Dashboard for every patient
Urgent · Monitor · Stable
Clinical Decision Support System
Coming soon

Dressfit — the right treatment, at the right cost.

Algorithm-based protocol suggestions based on tissue composition.
Clinician-reviewed before any action.

Icon: wound treatment optimization – Pixacare AI wound care platform treatment tracking
Treatment guidance
  • Protocol suggestions aligned with tissue classification
  • Updated at each visit as the wound evolves
  • Based on clinical guidelines
Icon: wound care cost reduction – Pixacare AI platform financial ROI for healthcare facilities
Cost optimization
  • Generic & equivalent options highlighted
  • Cost comparison at point of decision
  • Cost differences visible across options
Icon: clinical excellence in wound care – Pixacare AI-powered wound monitoring quality standard
Liability protection
  • Full decision trail — who, what, when
  • Clinician validation recorded
  • Auditable record in case of review
Pixacare AI wound care support interface – clinical team assistance for wound monitoring platform
Performance reporting

Prove your value to every stakeholder.

Mobile wound care providers need to demonstrate their performance to hospitals, SNFs, and payers. Pixacare generates ready-to-share reports automatically.

Icon: wound care dashboard – Pixacare AI-powered wound monitoring analytics for care teams
Wound stage dashboard
  • Stage 1–4 breakdown by panel
  • Healing velocity per patient
  • Reports shareable with care teams and partners
Icon: wound care time savings – Pixacare AI wound monitoring reduces clinical documentation time
Healing performance
  • Average time to closure by wound type
  • Visits completed vs. avoided
  • Trend over time
Icon: wound care cost reduction – Pixacare AI platform financial ROI for healthcare facilities
Cost insights
  • Complications prevented
  • ER visits and complications tracked
  • Data structured for reporting and payer discussions
Compliance

Built for the US healthcare environment.

CE Class IIa — EU MDR 2017/745
ISO 13485 — QMS certified (DNV)
HIPAA compliant
GDPR compliant
Epic HL7/FHIR R4
FDA registered
SOC 2 — in progress
In development

AI-powered post-surgical monitoring.
Supporting early identification of SSI risk.

For acute care hospitals and surgical centers — support early identification of potential SSI signs between follow-ups.

1

Discharge

  • Patient enrolled at discharge — app setup in 2 min
  • Baseline wound photo captured before leaving hospital
  • Follow-up protocol defined by surgical team
2

Home monitoring

  • Patient photographs wound at home via guided app
  • No nurse visit required between scheduled check-ins
  • Frequency set per surgical protocol
3

AI-based wound analysis

  • Wound measurements auto-structured from photo
  • Early SSI signs flagged: redness, swelling, dehiscence
  • Compared vs. baseline — evolution tracked daily
4

Clinician Alert

  • Alert sent only when clinical threshold is crossed
  • No alert = patient is on track — zero manual review
  • Complication caught before ER readmission
Pixacare AI wound care platform – tab screenshot showing AI-powered wound analysis feature 1Pixacare wound monitoring platform – AI wound measurement and tissue analysis interfacePixacare AI wound care app – automated wound documentation and clinical reporting screenPixacare AI-powered wound care platform – ePRO patient-reported outcomes and wound tracking
Sample data for illustration purposes only.
Pixacare AI wound care platform – tab screenshot showing AI-powered wound analysis feature 1
Sample data for illustration purposes only.
  • Patient enrolled at discharge — app setup in 2 min
  • Baseline wound photo captured before leaving hospital
  • Follow-up protocol defined by surgical team
Pixacare wound monitoring platform – AI wound measurement and tissue analysis interface
Sample data for illustration purposes only.
  • Patient photographs wound at home via guided app
  • No nurse visit required between scheduled check-ins
  • Frequency set per surgical protocol
Pixacare AI wound care app – automated wound documentation and clinical reporting screen
Sample data for illustration purposes only.
  • Wound measurements auto-structured from photo
  • Early SSI signs flagged: redness, swelling, dehiscence
  • Compared vs. baseline — evolution tracked daily
Pixacare AI-powered wound care platform – ePRO patient-reported outcomes and wound tracking
Sample data for illustration purposes only.
  • Alert sent only when clinical threshold is crossed
  • No alert = patient is on track — zero manual review
  • Complication caught before ER readmission

Everything you need to know about Pixacare

How long does it take to generate a report?
Does Pixacare support post-surgical wound monitoring?
What is Clinical Decision Support in Pixacare?
What EHR systems does Pixacare integrate with?
Does Pixacare support remote patient monitoring?
How does Pixacare's AI wound measurement work?