Talix Achieves Patent for its Health Information System that Streamlines Patient Data Management

Talix's proprietary technology uses unique natural language processing (NLP) and a semantic health taxonomy for payers and providers to help them analyze comprehensive patient data–without significant manual work.

FREMONT, CA: Talix, a SaaS solution for both payers and healthcare providers to manage their patient information, has achieved a patent awarded by the U.S. Patent and Trademark Office entitled, "Health Information System for Searching, Analyzing, and Annotating Patient Data," patent number 10,755,804. Talix's proprietary technology uses unique natural language processing (NLP) and a semantic health taxonomy for payers and providers to help them analyze comprehensive patient data–without significant manual work.

Patient data volume is increasing at a substantial pace every year, and 80 percent of this data is unstructured text. With this transformation, healthcare organizations require both structured and unstructured information to get precise reimbursements and to make more informed decisions about patient care. The Talix platform, supported by Artificial Intelligence (AI), makes this transition effortless and intuitive by allowing customers easily parse the enormous volume of patient information they receive from different sources. It helps improve the identification of patient medical acuity, treatments, and health management.

"Due to the shift to value-based care, the healthcare market needs advanced information technology to leverage massive amounts of patient data," said Dean Stephens, CEO of Talix. "As patient information grows, it's no longer scalable for humans to sift through the data alone. Our technology further reinforces our innovative solution to thoroughly mine patient data and improve the payer and provider reimbursement process."

Talix's NLP and semantic taxonomy, along with efficient back-end technology, offer an all-in-one healthcare platform that speeds up reimbursement workflows. As a result, customers achieve higher ROI and greater accuracy in their risk adjustment processes. This will enable payers and providers to enhance the accuracy and detail of their patient and member documentation to provide high-quality, streamlined patient care.