| Literature DB >> 34858118 |
Alexander Dokumentov, Yassien Shaalan, Piyapong Khumrin, Krit Khwanngern, Anawat Wisetborisut, Thanakom Hatsadeang, Nattapat Karaket, Witthawin Achariyaviriya, Sansanee Auephanwiriyakul, Nipon Theera-Umpon, Terence Siganakis.
Abstract
This article discusses the emerging trends and challenges related to automatic clinical coding. We introduce an automatic coding system, which assigns short ICD-10 codes (restricted to the first three symbols, which define the category of the disease) based only on drugs prescribed to patients. We show that even with limited input data, the accuracy levels are comparable to those achieved by entry-level clinical coders as depicted by Seyed Nouraei et al.1 We also examine the standard method for performance estimation and speculate that the actual accuracy of our coding system is even higher than estimated.Entities:
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Year: 2021 PMID: 34858118 PMCID: PMC8580462
Source DB: PubMed Journal: Perspect Health Inf Manag ISSN: 1559-4122