A natural language based search engine for ICD10 diagnosis encoding
Baud, R.
Medicinski Arhiv 58(1 Suppl 2: 79-80
2004
ISSN/ISBN: 0025-8083 PMID: 15137209 Document Number: 579025
We have developed a multiple step process for implementing an ICD10 search engine. The complexity of the task has been shown and we recommend collecting adequate expertise before starting any implementation. Underestimation of the expert time and inadequate data resources are probable reasons for failure. We also claim that when all conditions are met in term of resource and availability of the expertise, the benefits of a responsive ICD10 search engine will be present and the investment will be successful.