INTRODUCTION: In order to measure the medical activity in hospitals, physicians are required to code manually information concerning a patient's stay using ICD-10. This requires trained staff and a lot of time. We propose to help speed up and facilitate the tedious task of coding patient information. METHODS: we show two methods. First, we propose an automated ICD-10-based coding help system using an automated MeSH-based indexing system and a mapping between MeSH and ICD-10 extracted from the UMLS metathesaurus. Secondly, we propose the use of drug prescriptions to complete the previous coding with the use of a mapping between a given prescription drug and the relevant ICD-10 codes (in compliance with the drug approval). RESULTS: the results of a preliminary experiment indicate that the precision of the indexing system is 40% and the recall is 30% when we compare to an economic rules-based coding and to a descriptive coding. DISCUSSION: moreover, we show that the use of prescription coding is relevant as the recall reaches 68% when the Vidal tool is used. CONCLUSION: Then, it is very interesting to complete the coding obtained automatically by the indexing/mapping system by the coding obtained from the prescriptions.
INTRODUCTION: In order to measure the medical activity in hospitals, physicians are required to code manually information concerning a patient's stay using ICD-10. This requires trained staff and a lot of time. We propose to help speed up and facilitate the tedious task of coding patient information. METHODS: we show two methods. First, we propose an automated ICD-10-based coding help system using an automated MeSH-based indexing system and a mapping between MeSH and ICD-10 extracted from the UMLS metathesaurus. Secondly, we propose the use of drug prescriptions to complete the previous coding with the use of a mapping between a given prescription drug and the relevant ICD-10 codes (in compliance with the drug approval). RESULTS: the results of a preliminary experiment indicate that the precision of the indexing system is 40% and the recall is 30% when we compare to an economic rules-based coding and to a descriptive coding. DISCUSSION: moreover, we show that the use of prescription coding is relevant as the recall reaches 68% when the Vidal tool is used. CONCLUSION: Then, it is very interesting to complete the coding obtained automatically by the indexing/mapping system by the coding obtained from the prescriptions.
Authors: José Carlos Ferrão; Mónica Duarte Oliveira; Filipe Janela; Henrique M G Martins; Daniel Gartner Journal: Health Syst (Basingstoke) Date: 2020-03-01
Authors: François Séverac; Erik A Sauleau; Nicolas Meyer; Hassina Lefèvre; Gabriel Nisand; Nicolas Jay Journal: BMC Med Inform Decis Mak Date: 2015-04-15 Impact factor: 2.796