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Complex Wounds — Smartphone Imaging & Clinical AI Workflow

Turn wound images into structured clinical action.

VDMHealth helps care teams monitor skin complex wounds through guided smartphone capture, image quality control, clinical signals, risk stratification and traceable follow-up workflows

Skin Complex Wounds — Smartphone Imaging & Clinical AI Workflow

How the Complex Wounds workflow works

A step-by-step clinical journey designed for remote and hybrid care.

1. Patient or clinician onboarding1

1. Patient or clinician onboarding

The workflow starts with secure onboarding, patient context and consent. The system collects the minimum structured information needed to support safe wound follow-up.

Guided wound capture2

Guided wound capture

The Clinical Operator guides the user through wound image capture, helping standardize distance, angle, lighting and focus.

Image quality control3

Image quality control

The system checks whether the image is usable for follow-up. If quality is insufficient, the user is prompted to retake the capture with clear instructions.

. Structured wound outputs4

. Structured wound outputs

VDMHealth generates structured wound descriptors and comparison-ready outputs to support clinical review and longitudinal monitoring.

Risk signals and escalation5

Risk signals and escalation

Clinical signals and progression markers support risk stratification and escalation recommendations when predefined criteria are met.

Follow-up plan and reporting6

Follow-up plan and reporting

The system supports follow-up scheduling, care plan documentation and structured reporting for review by the clinical team.

Key Benefits

  • 40% fewer nurse visits

    Reduce unnecessary nurse visits by 40% through guided remote monitoring, structured clinical follow-up, and early escalation when care teams need to intervene.

  • Faster healing detection

    Detect healing progress faster with structured image follow-up, clinical quality checks, and clear evolution signals that help care teams act earlier.

  • Lower readmissions

    Lower readmissions by identifying wound deterioration earlier, supporting timely clinical review, and keeping follow-up structured between care visits.

  • Predictive & preventive care

    Enable predictive and preventive care with continuous wound monitoring, early risk signals, and structured follow-up before complications escalate.

  • Expert-level and intelligence at home

    Bring expert-level clinical intelligence into the home with guided capture, quality control, and structured wound insights ready for professional review.

Built for clinical governance, not autonomous diagnosis.

The workflow is designed to support clinicians with structured, traceable and reviewable outputs. Complex wound monitoring requires safety, transparency and clinical oversight. VDMHealth positions the system as a clinical decision support workflow: it structures information, flags uncertainty, supports escalation and keeps clinicians responsible for final decisions. The wound care use case can be aligned with institutional protocols, review gates and documentation requirements.

  • • Guided image capture to improve consistency
  • • Image quality control before clinical review.
  • • Structured outputs for longitudinal comparison.
  • • Escalation logic under clinical governance.
  • • Audit trail for recommendations, reviews and edits.
  • • Export-ready documentation for care teams.

Request clinical demo

Request clinical demo, the use case describes workflow support and clinical decision support. It does not provide autonomous diagnosis or medical prescription. Final clinical decisions remain under qualified healthcare professionals.