Corrections to: Development of an Automated ICD Coding System for Outpatients at Songklanagarind Hospital: A Retrospective Study

Automated ICD Coding in Outpatients

Abstract

This Correction relates to the following article:
Saranee Supornpipat and Phongsak Dandecha. Development of an Automated ICD Coding System for Outpatients at Songklanagarind Hospital: A Retrospective Study. PSU Med J 2026;6(1):15-24. https://doi.org/10.31584/psumj.2026281538

URL: https://he01.tci-thaijo.org/index.php/PSUMJ/article/view/281538

CONTENT OF CORRECTION
An extraneous and unrelated segment of English text was found remaining in the main body of the article on page 17, within the passage discussing “the development of automated systems to assist in disease and procedure coding represents an important approach to addressing issues that have arisen. Over the past decade, the academic field has proposed various methods for developing automated coding systems, ranging from machine learning techniques to deep learning⁵ insurance claim processing and research. The current scenario of assigning codes is a manual process which is very expensive, time-consuming and error prone. In recent years, many researchers have studied the use of natural language processing (NLP),” which has been revised to read: “The development of automated systems to assist in disease and procedure coding represents an important approach to addressing issues that have arisen. Over the past decade, the academic field has proposed various methods for developing automated coding systems, ranging from machine learning techniques to deep learning⁵”

Additionally, the English Running Title in the header on pages 17, 19, 21, and 23 has been corrected from “Development of a Modified Work Ability Index for Nurses” to “Automated ICD Coding in Outpatients”.

We confirm that this correction does not alter the core content or the scientific results reported in the study.

The editorial office sincerely regrets the error.