Wound Care with AI-Powered Diagnosis

Transforming Wound Care with AI-Powered Diagnosis

Advancing Healthcare Precision

Project Summary

A healthcare innovator sought to streamline wound diagnosis for medical professionals and hospitals. Techversant delivered an AI-powered web portal, enabling wound scanning, analysis, and reporting, with features like patient history logs and editable treatment plans, enhancing clinical efficiency and patient outcomes.

The Challenge

Our Solution

Techversant’s offshore development team built a robust platform with:

  • AI Wound Analysis
    Implemented AI-driven wound scanning and analysis using Python, delivering precise diagnostic insights.
  • Report Generation
    Utilized PDFmake to generate detailed, professional reports with editable notes for medical staff.
  • Patient History Logs
    Designed MySQL-based logs to track patient data, supporting informed clinical decisions.
  • Treatment Planning
    Integrated AI-suggested treatment and duration plans, editable by professionals for flexibility.
  • Scalable Frontend
    Developed a responsive interface with ReactJS, Redux, TypeScript, and Bootstrap CSS for seamless user experience.
  • Cloud Infrastructure
    Leveraged AWS Lambda for scalable, serverless processing, ensuring high availability.
  • Testing & Quality
    Conducted thorough unit testing to ensure reliability and performance.

Technology Stack

ReactJS, Redux, Bootstrap CSS, PDFmake, TypeScript, Python, AWS Lambda, MySQL

Outcome and Business Impact for the Client

  • Enhanced Diagnostics: AI analysis improved wound assessment accuracy by 30%.
  • Efficient Reporting: Editable PDF reports reduced documentation time by 40%.
  • Informed Care: Patient history logs enabled data-driven clinical decisions.
  • Scalable Performance: AWS Lambda ensured 99.9% uptime during high demand.
  • Improved Outcomes: AI-suggested treatment plans boosted care efficiency.
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