iWound


iWound is an innovative telemedical platform supporting the entire patient care process, from prehabilitation to post-operative wound care. It enables effective treatment and communication from home, safely, conveniently, and professionally. The system is cloud-based, secure, and accessible on various devices, designed to improve efficiency, safety, and patient engagement in wound management.

Industries

consulting
electronic-health-record-ehr
mobile-apps
telehealth

iWound

Suchy Las, Mazowieckie, Poland, Europe


Products

Patient mobile application

Mobile app for patients to send wound photos, complete anamneses, receive instructions and reminders, view therapy history and access a digital medicine cabinet.

Consultant web panel and consultant mobile app

Web-based consultant panel and dedicated consultant mobile app for clinicians to receive patient submissions, manage therapies, create documentation and invoice patients.


Services

Telemedicine subscription and deployment

Subscription-based deployment of the telemedicine platform for clinics, private practices and individual specialists, including account setup and basic onboarding.

Prehabilitation and perioperative remote care service

Clinical service workflow enabling remote prehabilitation task assignment, automated surgery confirmations, progress monitoring and multidisciplinary coordination delivered through the platform.

Research collaboration for ML-based infection risk detection

Partnerships to collect structured clinical data and wound images for research projects developing machine-learning models to detect early post-operative wound infection risk.

Onboarding, training and technical support

Account provisioning, short training sessions (e.g., one-hour), ongoing telephone and email support and assistance with integrating teleconsultation into clinical workflows.

Expertise Areas

  • Telemedicine for wound and scar management
  • Remote patient monitoring and perioperative care
  • Clinical workflow automation and documentation
  • Machine learning for clinical risk prediction
  • Show More (4)

Key Technologies

  • Cloud-based web and mobile applications
  • Mobile-responsive user interfaces
  • SSL-encrypted communications and secure hosting
  • Image capture and storage for clinical assessment
  • Show More (4)

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