HealthLynked Corp. has filed two new U.S. patent applications that could significantly impact healthcare technology and patient data management. The first application covers a Universal Patient Identifier system designed to unify health records without relying on Social Security numbers, addressing critical privacy and security concerns in medical data handling. This approach represents a fundamental shift in how patient identification is managed across healthcare systems.
The second patent application involves an AI Appointment Scheduling Agent capable of multilingual, personalized booking across providers, specialties, and insurance networks. This technology aims to streamline care coordination and enhance patient experience by removing language barriers and simplifying the appointment process across different healthcare systems. The AI-driven system represents a significant advancement in healthcare accessibility and operational efficiency.
These filings strengthen HealthLynked's intellectual property portfolio and advance the company's mission to secure medical data access while improving healthcare efficiency. The cloud-based platform, detailed at https://ibn.fm/cUoXt, connects patients with providers for virtual or in-office appointments and consolidates medical records into one secure, accessible location. This integrated approach addresses the fragmentation that has long plagued healthcare data management.
The technology provides insights and integrated telehealth services that empower both patients and providers to coordinate care more effectively. The platform also delivers substantial savings on prescriptions and healthcare services while supporting enterprise partnerships with healthcare networks and digital health innovators. Investors and stakeholders can access the latest news and updates through the company's newsroom at https://ibn.fm/HLYK. The patent applications represent HealthLynked's continued commitment to developing innovative solutions that address fundamental challenges in healthcare technology and patient data management.
