Company Filing History:
Years Active: 2019-2025
Title: Jason Taylor: Innovator in Clinical Trial Technology
Introduction
Jason Taylor is a prominent inventor based in Chicago, IL, known for his contributions to the field of clinical trial technology. With a total of 5 patents, he has developed innovative methods and systems that enhance the efficiency of patient enrollment in clinical trials.
Latest Patents
One of his latest patents is the "Clinical concept identification, extraction, and prediction system and related methods." This method determines whether a patient may be enrolled in a clinical trial by examining the patient's medical record from an electronic health record system. It involves deriving a plurality of first concepts from the medical record, normalizing each concept, and comparing them to a list of study criteria to assess eligibility for enrollment.
Another significant patent is the "Mobile supplementation, extraction, and analysis of health records." This system and mobile device application capture documents, such as next-generation sequencing (NGS) reports, containing medical information about genetically sequenced patients. The method includes receiving an image of a medical document, extracting NGS medical information, and generating a clinical decision support report for display on the mobile device.
Career Highlights
Throughout his career, Jason has worked with notable companies, including Tempus Labs, Inc. and Tempus AI, Inc. His work has significantly impacted the way medical data is utilized in clinical settings, streamlining processes and improving patient outcomes.
Collaborations
Jason has collaborated with talented individuals in his field, including Michael Lucas and Jonathan Ozeran. These partnerships have fostered innovation and contributed to the development of advanced technologies in healthcare.
Conclusion
Jason Taylor's innovative work in clinical trial technology exemplifies the importance of advancements in healthcare. His patents and career achievements reflect a commitment to improving patient enrollment processes and enhancing medical data utilization.