Resumo

HATHORN, F.K.; DE KOCK, I.H.  e  WASSERMAN, E.. Decision support for clinical laboratory test requisition: the utility of ICD-10 coding. S. Afr. J. Ind. Eng. [online]. 2022, vol.33, n.1, pp.16-24. ISSN 2224-7890.  https://doi.org/10.7166/33-1-2556.

This study examined the possibility of a strong relationship between ICD-10 codes and the panel of clinical laboratory tests requested. Decision-tree learning principles were used to determine whether requisition event attributes had a useful relationship with laboratory tests. A recommender system was designed and tested using ICD-10 codes as a core predictor. The results showed an average requisition accuracy upwards of 74 per cent. If such a system were to be deployed, health professionals would be able to draw from a vast and accessible pool of knowledge when selecting clinical laboratory tests, improving the effectiveness of clinical laboratory operations.

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