With increasingly sophisticated medical technology today, more than ever health professionals are presented with many medical diagnostic documents from various sources.
Diagnosis of a medical condition and treatment is largely dependent on being able to efficiently and effectively identify the critical medical information in such documents.
HLA has developed the most sophisticated systems available for automatically extracting such critical medical information from clinical reports, and thus making the health professionals task less labour intensive and so release more of their time for the important care work based on quality extracted information.
HLA’s HORIZON platform technology is novel because the market is currently dominated by inadequate, simple, text processing technologies that use “word strings” to identify targeted words within documents.
HORIZON is designed for the health professional and significantly extends the capability of current word-based analysis and classification systems, and adds ‘meaning’ into the tasks of retrieval, questioning, analysis, extraction, and classification of key identifiers within clinical documents.
HLA technology uses semantics and context (i.e. the meaning of a word, phrase, sentence or text) to identify within medical documents the specifically targeted medical condition and its meaning. This technology is based on significant needs analysis and workflow research over the past two years, with health professionals working in clinical settings. HLA semantic engine has been created in response to this market intelligence over the past 12 months.
As a result, it is a novel technology and is unlike any other clinical language processing product. One of the products in the HORIZON suite, TumourTExtract is currently being used in a major research project with the Victorian Cancer Registry in Melbourne, Australia.
HORIZON allows the health professional to be able to identify a targeted medical condition in a collection of text documents. For example, HLA’s technology allows health professionals to be able to:
- Scan a large amount of documents to identify structural or behavioural characteristics peculiar to an individual patient or a group of patients (e.g. Chemotherapy patients).
- Collate common content for a patient or a patient group from within a suite of multi-sourced written documents, e.g. pathology, radiology, cancer registry, etc.
- Gather targeted information about past clinical events for audits, clinical research, clinical investigations, litigation, etc.
- As a method of surveillance to manage and prevent unwanted clinical events;
- Answer direct questions about an individual patient when reviewing the current status of a patient in a clinical handover.
HORIZON has improved the effectiveness and reliability of clinical language processing and is protected and governed through a trade secret and copyright laws.