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Javad Zarei, Alimohammad Hadianfard, Ali Mohammadi, Asma Rabiee,
Volume 8, Issue 3 (10-2022)
Abstract

Objective In Iran, the tariffs’ book of “Relative Values of Health Services” is the basis ‎for calculating the costs of health services. Since orthopedic surgery is one of the largest fields of surgery ‎in which most body tissues are involved, coding orthopedic procedures is more difficult. The present study aims to investigate the problems of coding orthopedic ‎procedures using the Tariffs’ book.
Methods This descriptive cross-sectional study was conducted in 2020 in university ‎and non-university hospitals of Ahvaz, Iran. Participants were 73 people ‎including orthopedic physicians, insurance experts, and revenue auditors who were selected by a census method. A questionnaire in two paper and online forms was used to collect information. The collected data were analyzed in SPSS software, version 22.‏
Results Among the problems of coding common in three groups, the biggest problem was related to the lack of an intelligent system for ‎calculating the percentage of codes if they were multi-codes (78.75%). Regarding the adjustment codes, the highest level of familiarity was related to the code 51 about multiple surgeries (64.82%), and the lowest level was related to the code 20 about independent surgery‏ (‏‎55.76 %‎‏).
Conclusion The development of an intelligent software for coding orthopedic ‎procedures in Iran can facilitate the coding process and reduce the coding errors.
Parisa Tavakoli, Hossin Bagherian, Sakineh Saghaeiannejad Isfahani, Majid Jangi,
Volume 10, Issue 1 (3-2024)
Abstract

Objective Augmented reality (AR) is one of the new technologies that is used in education, especially medical education. This study aims to determine the requirements for developing an educational application based on AR for teaching clinical coding.
Methods In this descriptive-comparative study conducted in 2022, we first investigated the user interface (UI) and functionality of the AR-based educational applications. The UI features were extracted from 12 similar applications in Persian and English available in Google Play and Cafe Bazaar. To determine the functionality features, the opinions of a panel of experts including professors of clinical coding from Isfahan University of Medical Sciences in Iran were used. 
Results The UI features included search (found in 3 applications), scanners (found in 11 applications), educational content classification (found in 9 applications), audio/text guides (found in 9 applications), and about us (found in 8 applications) sections. The functionality features included testing of knowledge and using images (2D, 3D).
Conclusion Due to the theoretical and practical nature of the clinical coding course, a section to solve clinical coding scenarios is an important feature of AR-based educational applications for clinical coding. Also, the use of images (2D, 3D) in these applications can create a deeper impact on students’ learning.


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