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Year 2023, Volume: 1 Issue: 1, 54 - 74, 02.02.2024

Ibrahım I. Alkhateeb Kürşat Mustafa Karaoğlan Hakan Kutucu

Abstract

References

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  • [6] William R Best, Shukri F Khuri, Maureen Phelan, Kwan Hur, William G Henderson, John G Demakis, and Jennifer Daley. Identifying patient preoperative risk factors and postoperative adverse events in administrative databases: results from the department of veterans affairs national surgical quality improvement program. Journal of the American College of Surgeons, 194(3):257–266, 2002.
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SURVEY OF THE DEVELOPMENT PROCESSES AND EVOLUTION OF THE INTERNATIONAL CLASSIFICATION OF DISEASES

Year 2023, Volume: 1 Issue: 1, 54 - 74, 02.02.2024

Ibrahım I. Alkhateeb Kürşat Mustafa Karaoğlan Hakan Kutucu

Abstract

The International Classification of Diseases (ICDs) has a global application in epidemiological research, health administration, and diagnostic studies. The ICD is a classification system within the healthcare system, developed and endorsed by the World Health Organization (WHO) to provide a comprehensive range of diagnostic codes for categorizing diseases. It encompasses exhaustive classifications of diverse indications, manifestations, abnormal findings, grievances, societal circumstances, and extrinsic factors contributing to injury or illness. This system relied entirely on clinical data sets that are collected by officials, on the basis of which the International Classification of Diseases is coded for many purposes such as billing systems, determining the type of disease, and the types of treatments used. Recently, what is known as the electronic health record system appeared to be adopted in writing clinical notes, which led researchers to integrate modern technology in Natural Language Processing in addition to Machine Learning and deep learning techniques to code the International Classification of Diseases in a more effective and accurate way. The factors mentioned helped shed more light on the importance of this system, its objectives, and the developments that have been made on it since its inception. and also led us in this paper to conduct a comprehensive survey on the latest technologies prepared by researchers in the field of classification and coding of diseases and what are the processes that have been adopted in this regard.

Keywords

International Classification of Diseases (ICDs) Epidemiological researches Tenth revision Clinical modification ICD-based AI.

References

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  • [2] Richard F Averill and Rhonda R Butler. Misperceptions, misinformation, and misrepresentations: The icd-10-cm/pcssaga. Journal of AHIMA, 2013.
  • [3] Lauren B Ball, Steven C Macdonald, Joshua A Mott, and Ruth A Etzel. Carbon monoxide-related injury estimation using icd-coded data: methodologic implications for public health surveillance. Archives of Environmental & Occupational Health, 60(3):119–127, 2005.
  • [4] Tal Baumel, Jumana Nassour-Kassis, Raphael Cohen, Michael Elhadad, and Noemie Elhadad. Multi-label classification of patient notes a case study on icd code assignment. arXiv preprint arXiv:1709.09587, 2017.
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  • [22] Lærke Storgaard Duerlund, Shakil Shakar, Henrik Nielsen, and Jacob Bodilsen. Positive predictive value of the icd-10 diagnosis code for long-covid. Clinical epidemiology, pages 141–148, 2022.
  • [23] John Dumay and James Guthrie. Involuntary disclosure of intellectual capital: is it relevant? Journal of Intellectual Capital, 18(1):29–44, 2017.
  • [24] Swetha Duraiswamy, Amanda Ignacio, Janice Weinberg, Sabrina E Sanchez, David R Flum, Michael K Paasche-Orlow, Kelly M Kenzik, Jennifer F Tseng, and Frederick Thurston Drake. Comparative accuracy of icd-9 vs icd-10 codes for acute appendicitis. Journal of the American College of Surgeons, 234(3):377–383, 2022.
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  • [27] Samah Jamal Fodeh, Brenda T Fenton, Rixin Wang, Melissa Skanderson, Hamada Altalib, Deena Kuruvilla, Emmanuelle Schindler, Sally Haskell, Cynthia Brandt, and Jason J Sico. Understanding headache classification coding within the veterans health administration using icd-9-cm and icd-10-cm in fiscal years 2014–2017. Plos one, 18(1):e0279163, 2023.
  • [28] Kin Wah Fung, Rachel Richesson, Michelle Smerek, Katherine C Pereira, Beverly B Green, Ashwin Patkar, Megan Clowse, Alan Bauck, and Olivier Bodenreider. Preparing for the icd-10-cm transition: automated methods for translating icd codes in clinical phenotype definitions. eGEMs, 4(1), 2016.
  • [29] Kin Wah Fung, Julia Xu, and Olivier Bodenreider. The new international classification of diseases 11th edition: a comparative analysis with icd-10 and icd-10-cm. Journal of the American Medical Informatics Association, 27 (5) : 738–746, 2020.
  • [30] Jennifer H Garvin and C C S RHIA. Evaluation of public health reporting using ICD-10-CM. In APHA Scientific Session and Event Listing, 2006.
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  • [32] Adi V Gundlapalli, Amy M Lavery, Tegan K Boehmer, Michael J Beach, Henry T Walke, Paul D Sutton, and Robert N Anderson. Death certificate–based icd-10 diagnosis codes for covid-19 mortality surveillance—united states, january–december 2020. Morbidity and Mortality Weekly Report, 70(14):523, 2021.
  • [33] Yi Guo, Zhaoyi Chen, Ke Xu, Thomas J George, Yonghui Wu, William Hogan, Elizabeth A Shenkman, and Jiang Bian. International classification of diseases, tenth revision, clinical modification social determinants of health codes are poorly used in electronic health records. Medicine, 99(52), 2020.
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  • [35] Elias Hossain, Rajib Rana, Niall Higgins, Jeffrey Soar, Prabal Datta Barua, Anthony R Pisani, et al. Natural language processing in electronic health records in relation to healthcare decision-making: a systematic review. arXiv preprint arXiv:2306.12834, 2023.
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  • [37] Rajvir Kaur and Jeewani Anupama Ginige. Comparative analysis of algorithmic approaches for auto-coding with icd10-am and achi. Studies in health technology and informatics, 252:73–79, 2018.
  • [38] Rajvir Kaur, Jeewani Anupama Ginige, and Oliver Obst. A systematic literature review of automated icd coding and classification systems using discharge summaries. arXiv preprint arXiv:2107.10652, 2021.
  • [39] Rajvir Kaur, Jeewani Anupama Ginige, and Oliver Obst. Ai-based icd coding and classification approaches using discharge summaries: A systematic literature review. Expert Systems with Applications, page 118997, 2022.
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Details

Primary Language English
Subjects Deep Learning
Journal Section Reviews
Authors

Ibrahım I. Alkhateeb This is me 0009-0003-3037-509X

Kürşat Mustafa Karaoğlan 0000-0001-9830-7622

Hakan Kutucu 0000-0001-7144-7246

Publication Date February 2, 2024
Published in Issue Year 2023 Volume: 1 Issue: 1

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