Impact of Inaccurate Clinical Coding on Financial Outcome: A Study in a local hospital in Najran, Saudi Arabia.

Salem Albagmi
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Abstract

Background Coding in medical procedures is crucial for patients, and errors made by hospital administration during the coding process can have an impact on both the financial results and the course of therapy. The present study aims to assess the accuracy of diagnostic and procedural codes as recorded by the hospital’s coders and to also evaluate their impact on the hospital’s revenue. Methods In a local hospital in Najran, Saudi Arabia, a cross-sectional observational analysis was conducted on patients with a clinical coder. The percentage of precision and error following the re-coding of cases was calculated using a statistical analysis. Results Primary diagnosis was incorrectly coded in 57 (26 per cent) records, and secondary diagnosis was incorrectly coded in 21 (9.9 per cent) records. Inaccurate medical labelling has been seen in emergency rooms, operating rooms, and gynaecology facilities. Discussion The percentage of records with the most incorrect coding was found to be 16 (7.5 per cent) in the emergency room, 10 (4.7 per cent) in the surgical clinic, and 5 (2.3 per cent) in the gynaecology/OBS clinic. Six (2.8 per cent) records in the private clinic had inaccurate secondary diagnoses, followed by four (1.9 per cent) and two (1 per cent) records in nephrology. Conclusion The percentage of inaccurate clinical codes in primary diagnoses reached (26.8 per cent) and the percentage of incorrect clinical codes in secondary diagnoses reached (9.9 per cent).
临床编码不准确对财务结果的影响:沙特阿拉伯奈季兰一家地方医院的研究。
背景 医疗程序中的编码对患者至关重要,而医院管理部门在编码过程中出现的错误会对财务结果和治疗过程产生影响。本研究旨在评估医院编码员记录的诊断和手术编码的准确性,并评估其对医院收入的影响。方法 在沙特阿拉伯纳季兰的一家当地医院,由临床编码员对患者进行横断面观察分析。通过统计分析计算了病例重新编码后的精确率和错误率。结果 57 份(26%)病历的主要诊断编码有误,21 份(9.9%)病历的次要诊断编码有误。在急诊室、手术室和妇科设施中都发现了医疗标签不准确的情况。讨论 发现编码最不正确的病历百分比为:急诊室 16 份(7.5%),外科诊所 10 份(4.7%),妇科/OBS 诊所 5 份(2.3%)。私人诊所有 6 份(2.8%)病历的辅助诊断不准确,其次是肾内科的 4 份(1.9%)和 2 份(1%)病历。结论 初级诊断中临床代码不准确的比例达到 26.8%,二级诊断中临床代码不准确的比例达到 9.9%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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