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Michael Hurrell | OMICS International
ISSN: 2157-7420

Journal of Health & Medical Informatics
Open Access

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Michael Hurrell

Christchurch Hospital, Canterbury District Health Board, Private Bag 4710, Christchurch 8011
New Zealand

Use of Natural Language Processing to Identify Significant Abnormalities for Follow-up in a Large Accumulation of Non-delivered Radiology Reports

Objective: A radiology information system failure affected too many radiology reports (13,601) for manual review and detection of findings requiring clinical action, and required a semi-automated screening system to find such patients in a timely manner. Materials and methods: A novel SNOMED CT based healthcare platform was used to automatically f... Read More»

Michael Hurrell, Alan Stein and Sharyn MacDonald

Case Report: J Health Med Inform 2017, 8: 297

DOI: 10.4172/2157-7420.1000297

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