Company Filing History:
Years Active: 2025
Title: The Innovative Mind of Kyle Freese
Introduction
Kyle Freese is an accomplished inventor based in Scottsdale, AZ. He has made significant contributions to the field of technology, particularly in the area of machine learning and data management. His innovative approach has led to the development of a unique patent that addresses critical issues in consumer health records.
Latest Patents
Freese holds a patent for "Systems and methods for machine learning based error correction in large data structures." This invention encompasses a consumer health records access platform that includes a software application designed for operation on user devices. The system features a processor and a tangible, non-transitory electronic memory that communicates with the processor. It includes a set of computer-readable code, which comprises a consumer module for registering consumers for accounts pending authentication by healthcare providers. Additionally, it has a provider module that allows healthcare providers to authenticate and approve or reject consumer account creation. The system also includes a recording agency module for representatives to create healthcare provider accounts, along with a consumer health record access database that associates multiple health records with various consumer accounts.
Career Highlights
Freese's career is marked by his dedication to improving healthcare technology. His work at Stchealth, LLC has positioned him as a leader in the development of innovative solutions that enhance consumer access to health records. His patent reflects his commitment to leveraging technology for better healthcare outcomes.
Collaborations
Freese collaborates with talented individuals such as Sawyer Koops and Nate Meckes. Their combined expertise fosters a creative environment that drives innovation within their projects.
Conclusion
Kyle Freese's contributions to the field of technology, particularly in healthcare, demonstrate his innovative spirit and commitment to improving consumer access to health records. His patent showcases the potential of machine learning in enhancing data management systems.