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Studies show that comprehensive wound care leads to 75% improvement in patient-reported pain relief, mobility, and overall well-being.
Proper wound management by specialists reduces overall healthcare costs by up to 30% by minimizing complications, hospital readmissions, and length of stay.
Hospitals that invest in specialized wound care centers attract more referrals from primary care and surgical teams increasing brand reputation.
The Ines v1 Dashboard for WoundScan AI is a patented, user-friendly interface designed for seamless wound data visualization, tracking, and analysis. With its intuitive layout and AI-powered insights, clinicians can effortlessly monitor healing progress, identify trends, and optimize treatment plans—all in one streamlined platform.
WoundScan AI leverages cutting-edge technology and AI to deliver precise, non-contact wound measurements and real-time analysis. By combining depth-sensing with AI-driven image processing, WoundScan provides highly accurate wound dimensions, tissue classification, and healing insights—revolutionizing modern wound assessment.
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The Ines AI feature in the WoundScan dashboard enhances wound care management by leveraging AI to analyze wound images, track healing progress, and provide automated assessments. It also streamlines documentation by intelligently searching through medical files to extract relevant data and generating customizable templates for clinical notes, ensuring more efficient and accurate patient record-keeping.
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VoiceScribe in WoundScan AI is an advanced voice-to-text feature that allows clinicians to effortlessly dictate wound assessments, automatically converting speech into structured documentation. By eliminating manual charting, VoiceScribe enhances efficiency, reduces errors, and ensures accurate, real-time data capture—allowing healthcare providers to focus more on patient care.
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Essential HIPAA & CCPA: Implementing key HIPAA safeguards and CCPA-aligned measures to protect user data and build trust.
Built-in Security: Integrating security and privacy into the core design of our platform from day one.
Scalable Security: Our security and compliance roadmap will evolve and mature as we scale, with a commitment to achieving industry-leading standards and certifications.Roadmap to a Secure and Compliant Platform: We are taking a proactive, phased approach to security and compliance, beginning with our pilot program.
The patient and specialist securely sign in to WoundScan AI, ensuring personalized access to wound assessments while maintaining HIPAA-compliant data protection.
Before applying the dressing, the patient's wound is carefully cleaned and assessed, ensuring optimal conditions for healing while minimizing the risk of infection.
The system performs an in-depth wound analysis by utilizing AI to precisely measure wound dimensions and assess tissue characteristics.
The specialist reviews and confirms the automatically collected wound data, ensuring accuracy in measurements, tissue classification, and healing progress before finalizing the assessment.
The collected wound data is securely transferred to the native EHR system for seamless integration and HIPAA-compliant storage, while a detailed report is also emailed to the patient for easy access and follow-up care.
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Kathleen Reyes RN BSN
San Francisco, CA
Jane RN MSN, Nurse Manager
