ERS Partners with HLA-Global to Launch NLP Reportability Service for Cancer Registries

ERS, the leading innovator in cancer registry and analytics services partners with HLA-Global to offer new Cancer Reportability Service to US Cancer Registry marketCINCINNATI, OHIO, & SYDNEY, AUSTRALIA, June 4, 2021 — ERS, the industry’s leading cancer registry solution provider, has been providing solutions to the cancer registry field since 1989 and currently has over […]

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

18th February 2021: – Sydney — Australian 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 […]

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HLA Extends AI to Further Increase Cancer Multidisciplinary Meetings Efficiency at Sydney Adventist Hospital

Sydney, NSW, (June 12, 2020) – Sydney Adventist Hospital (The San) is now using Artificial Intelligence to automatically populate their cancer Multidisciplinary Team meeting system with pathology information using Natural Language Processing from local company Health Language Analytics (HLA). The San uses HLA’s CliniSearch application to identify relevant data from a pathology HL7 feed provide...

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HLA uses AI to connect Pathology to Sydney Adventist Hospital’s new MDT system

The Sydney Adventist Hospital (the San) is currently automating its cancer services multi-disciplinary team meetings (MDTs) using a new integrated cancer information management system (ICIMS) from the Sydney firm Innovative Clinical Information Management Systems (iCIMS) and HLA is providing the Pathology feed using its Horizon Clinical Natural Language Processing platform. The new MDT system is [...

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Jon Patrick to present at NAACCR 2019 – Vancouver

Does the idea of fast, highly accurate and automatic coding interest you?  What about coding to NAACCR/SEER 2018 standards? I will be speaking at the NAACCR 2019 in Vancouver, on Tuesday 11th at 10:30 am in the Fairview IV-V rooms.  The topic, unsurprisingly, will be “Automatic Coding to the 2018 NAACCR Requirements”. See https://www.naaccr.org/naaccr-iacr2019/ We look forw...

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Meet us at the NCRA Conference May 19-22 2019 Denver

HLA will be at the NCRA conference in Denver May 19th – 22nd http://www.ncra-usa.org/Conference/2019-Annual-Conference. We look forward to meeting all the Cancer Registrars. As a prelude to meeting, we have prepared a Demo web page. This showcases for our automatic Case Finding/Reportability and Coding systems. The Coding is to the 2018 SEER Requirements (it also […]

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HLA to Exhibit at HIC 2018 – Sydney

Health Language Analytics is pleased to announce that we will be exhibiting at HIC 2018 – Sydney, 29th July – 1st August at the International Convention Centre. Drop into Booth 63 to find out how Natural Language Processing, Artificial Intelligence, and Machine Learning can dramatically cut document backlogs and increase accuracies of Clinical Coding. See https://www.hisa.org.au/hic/...

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HLA Wins NSW Premier’s iAward for Public Sector Innovation

Health Language Analytics’ (HLA) HORIZON product was awarded the NSW Premier’s iAward for Public Sector Innovation at the 25th Annual AIIA iAwards ceremony held on the night of 7th June 2018. 13/06/2018 – Sydney — Australian innovator Health Language Analytics was named Winner of the NSW Premier’s iAward for Public Sector Innovation at the Australian […]

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HLA gives the California Cancer Registry an 70% Efficiency Boost using Language Engineering

Issue The California Cancer Registry (CCR) is a state-wide population-based cancer surveillance system serving nearly 40 million inhabitants and handling the more than 175,000 new cases annually. Currently, the CCR receives upwards of 600,000 pathology reports per annum of which approximately 50% are irrelevant to the Registry’s activities. This puts a large, non-productive resource drain [&hell...

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