The massive expansion in electronic medical records has produced an insurmountable volume of free text content about a patient for the clinicians to process.

HLA’s HORIZON uses the techniques of statistical Natural Language Processing (NLP) to enable clinicians to cope with the increased volume of content more effectively by performing search and extraction using complex concepts rather than Google-like strings.

For example a search for <Liver cancer> will find these types of results {hepatocellular carcinoma, HCC, liver mets, liver is free of carcinoma, adenocarcinoma is in the liver biopsy} and not just the string “liver cancer”. This can reduce time and hence costs by up to 90% to complete a specified task