Development of a Facial Recognition-Based Identity Verification System for Healthcare Data Management

Healthcare providers and research organizations face difficulties in preventing duplicate patient and staff profiles, leading to incomplete records and potential treatment risks. Remote identification is increasingly required due to limited physical visits, complicating verification processes. These issues compromise data integrity, patient safety, and operational efficiency.

A large healthcare organization or research entity aiming to enhance patient and staff identification accuracy and database integrity through biometric verification.

• Implement a facial recognition system to enable rapid and accurate identity verification of patients and staff, reducing verification time to under 30 seconds per attempt.
• Prevent creation of duplicate profiles in clinical databases, ensuring data consistency and completeness.
• Support remote and multi-device access for healthcare professionals and patients via web and mobile platforms.
• Ensure compliance with healthcare data protection standards such as HIPAA and GDPR by using deidentified unique identification codes.
• Develop a scalable and reliable biometric verification infrastructure accessible across multiple healthcare facilities and research centers.

• Web-based platform allowing users to verify identities through live facial recognition using webcams, enabling verification in less than 30 seconds.
• Cross-platform mobile application (iOS and Android) facilitating facial recognition for remote identification purposes.
• Integration with an extensive, accurate healthcare database registry to retrieve patient information and prevent duplicate profiles.
• Use of deidentified unique identification codes to ensure privacy and regulatory compliance.
• Full source code access hosted in the client-owned repository for ongoing maintenance and customization.

• Healthcare database registry for retrieving and updating patient and staff records
• Identity verification modules utilizing facial recognition APIs
• Security frameworks to ensure HIPAA and GDPR compliance

• System scalability to support multiple healthcare providers and an increasing user base
• High performance with verification response times under 30 seconds
• Robust security measures to prevent unauthorized access and data breaches
• Strict adherence to privacy regulations and data deidentification standards

The implementation of this biometric identity verification system aims to significantly reduce duplicate profile creation, improve data accuracy and integrity, and enhance operational efficiency. It is expected to help healthcare organizations achieve rapid remote verification, support compliance with data protection laws, and establish a competitive advantage in healthcare data management, ultimately leading to safer patient care and cost savings.