HLA-Global Chosen by Katmai to Supply Natural Language Processing Expertise to CDC Atlanta

18th February 2021: – SydneyAustralian innovator Health Language Analytics, through its US subsidiary – HLA-Global, a leader in applying Deep Understanding to NLP tasks, has been awarded the contract by Katmai to supply HLA-Global’s domain expertise in the processing of clinical documents to the National Program of Cancer Registries (NPCR). NPCR is managed by Centers for Disease Control’s (CDC) Division of Cancer Prevention and Control and collects data on cancer occurrence (including the type, extent, and location of the cancer), the type of initial treatment, and outcomes across 97% of the US population.

HLA-Global will work as part of the Katmai team to advise NPCR on the benefits of different NLP solutions for automating the coding of the data collected by NPCR for statistical modelling and analysis.

Professor Jon Patrick, Founder and CEO said, “It is exciting to work with Katmai using our AI and Machine Learning domain knowledge to assist the CDC in this important work.”

HLA-Global’s knowledge and award-winning technology enable fast, accurate handling of unstructured clinical text reports. Clients are therefore able to address the large numbers of uncoded documents that are currently handled manually. The result is a more accurate, quicker and more targeted analysis of cancer cases across populations.

HLA works with government departments, hospitals and cancer registries to help them with their research, patient history and analysis of clinical free-text documents with the aim of reducing the impact of cancer on our society. Currently HLA, through its US subsidiary has contracts with the California Cancer Registry, Los Angles Cancer Surveillance Program and the Centers for Disease Control – Atlanta. This win is the latest in a series of engagements including the use of its AI technology to automate cancer multi-disciplinary meetings at the Sydney Adventist Hospital.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.