This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Tempus Ai, Inc.. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: The Innovations of Andrew William Vold
Introduction
Andrew William Vold is an accomplished inventor based in Rosemount, MN (US). He has made significant contributions to the field of health technology through his innovative patent. His work focuses on improving the extraction of patient-entity relationships from electronic health records.
Latest Patents
Andrew holds a patent titled "Sparse N-gram modeling for patient-entity relation extraction." This patent outlines methods, systems, and software designed to determine relationships between a subject and a health entity. The process involves splitting an electronic health record (EHR) into sections by detecting delineating section headers. These sections are further subdivided into text spans, which are filtered using language pattern recognition. The filtered text spans are evaluated for their natural language context, leading to a scoring representation that predicts the association of each text span with the health entity. This innovative approach enhances the ability to model relationships between subjects and health entities, providing valuable insights for healthcare professionals.
Career Highlights
Andrew is currently employed at Tempus AI, Inc., where he continues to develop cutting-edge technologies in the health sector. His expertise in natural language processing and machine learning has positioned him as a key player in the advancement of health informatics.
Collaborations
One of Andrew's notable coworkers is Simon YewChoo Chu. Their collaboration has contributed to the innovative projects at Tempus AI, Inc., further enhancing the company's capabilities in health technology.
Conclusion
Andrew William Vold's contributions to the field of health technology through his patent and work at Tempus AI, Inc. demonstrate his commitment to improving patient care through innovation. His advancements in extracting relationships from electronic health records are paving the way for more effective healthcare solutions.