Abstract
We propose to design and test an information-processing model to participate in appraising the quality and the consistency of the coding, for billing, of Standardized Discharge Summaries (SDSs). We designed a model using both symbolic knowledge extracted from the NLM’s UMLS and statistical knowledge. The aim is to retrieve from the ICD-10 terms recorded in a SDS the Principal Diagnosis (PD) at the time of coding. In 90% of cases the PD was retrieved 1st or 2nd in SDS including three ICD-10 codes or more. This model could contribute as part of an automated quality control process in a hospital information system by checking consistency in coded SDSs and improve the income of the hospital.
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Acknowledgments
We wish to thank Dr Christian Trapé who helped us perform the mapping between CCAM and ICD-10. Mrs Marthe-Aline Jutand and Dr Roch Giorgi for their well-informed advice on statistics. Dr Philip Robinson for help with manuscript preparation. The US. NLM which kindly provided the authors with the UMLS knowledge sources.
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Avillach, P., Joubert, M. & Fieschi, M. Improving the quality of the coding of primary diagnosis in standardized discharge summaries. Health Care Manage Sci 11, 147–151 (2008). https://doi.org/10.1007/s10729-008-9060-0
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DOI: https://doi.org/10.1007/s10729-008-9060-0