Auditing the accuracy of medical diagnostic coding based on international classification of diseases, tenth revision
المؤلفون المشاركون
Mirhashimi, Sayyid Hadi
Ramezanghorbani, Nahid
Asadi, Farkhondeh
Rangraz, Mehrnaz Hajiabedin
المصدر
Iranian Red Crescent Medical Journal
العدد
المجلد 22، العدد 9 (30 سبتمبر/أيلول 2020)، ص ص. 1-6، 6ص.
الناشر
تاريخ النشر
2020-09-30
دولة النشر
الإمارات العربية المتحدة
عدد الصفحات
6
التخصصات الرئيسية
العلوم الطبية والصيدلة والعلوم الصحية
الملخص EN
Background: Medical diagnostic coding is used for the ease of retrieval and accuracy of medical information classification in health information systems.
This information is the main source of decision making for health managers and policymakers in planning, epidemiological, and medical research at different levels.
Objectives: The present study aimed to audit the accuracy of the ICD-10 (International Classification of Diseases, Tenth Revision) medical diagnosis code.
Methods: The present cross-sectional study was performed on a sample of 692 hospitalized cases in 9 educational centers affiliated to Shahid Beheshti University of Medical Sciences in the first half of 2020.
The content validity of the checklist was determined in this study, and the obtained data were analyzed in SPSS software using descriptive statistics.
Results: The average accuracy of coding for the main medical diagnoses across all subjects was 70%, signifying that 30% of medical records contain coding errors.
The highest and least accuracy values of diagnostic coding were 80% and 47%, respectively.
The application of standard abbreviations and file legibility were recognized as variables affecting code accuracy.
The highest precision percentage of codes attributed to other medical diagnoses, including ICD-10-based comorbidity and complication, was in 84%-85% of the participants.
Conclusion: Given the importance of all-encompassing coding in retrieving medical information, research, and macro-health policymaking, the coding accuracy audit must be conducted on a regular basis.
The interaction between coders and healthcare providers, coders' training, and improving the documentation process exerts a significant impact on the enhancement of coding accuracy.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Mirhashimi, Sayyid Hadi& Ramezanghorbani, Nahid& Asadi, Farkhondeh& Rangraz, Mehrnaz Hajiabedin. 2020. Auditing the accuracy of medical diagnostic coding based on international classification of diseases, tenth revision. Iranian Red Crescent Medical Journal،Vol. 22, no. 9, pp.1-6.
https://search.emarefa.net/detail/BIM-1439350
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Mirhashimi, Sayyid Hadi…[et al.]. Auditing the accuracy of medical diagnostic coding based on international classification of diseases, tenth revision. Iranian Red Crescent Medical Journal Vol. 22, no. 9 (Sep. 2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1439350
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Mirhashimi, Sayyid Hadi& Ramezanghorbani, Nahid& Asadi, Farkhondeh& Rangraz, Mehrnaz Hajiabedin. Auditing the accuracy of medical diagnostic coding based on international classification of diseases, tenth revision. Iranian Red Crescent Medical Journal. 2020. Vol. 22, no. 9, pp.1-6.
https://search.emarefa.net/detail/BIM-1439350
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 5-6
رقم السجل
BIM-1439350
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر