R. Safdari, H. Rezaeizadeh, G. Arji, A. Abbassian, Mehrshad Mokhtaran, R. Dehghan, Sara Shekalyou
{"title":"The necessity to develop a national classification system for Iranian traditional medicine","authors":"R. Safdari, H. Rezaeizadeh, G. Arji, A. Abbassian, Mehrshad Mokhtaran, R. Dehghan, Sara Shekalyou","doi":"10.1177/1833358319872820","DOIUrl":null,"url":null,"abstract":"Background: Classification of disease and interventions in traditional medicine (TM) is necessary for standardised coding of information. Currently, in Iran, there is no standard electronic classification system for disease and interventions in TM. Objective: The current study aimed to develop a national framework for the classification of disease and intervention in Persian medicine based on expert opinion. Method: A descriptive cross-sectional study was carried out in 2018. The existing systems for the classification of disease and interventions in TM were reviewed in detail, and some of the structural and content characteristics were extracted for the development of the classification of Iranian traditional medicine. Based on these features, a self-administered questionnaire was developed. Study participants (25) were experts in the field of Persian medicine and health information management in Tehran medical universities. Results: Main axes for the classification of disease and interventions were determined. The most important applications of the classification system were related to clinical coding, policymaking, reporting of mortality and morbidity data, cost analysis and determining the quality indicators. Half of the participants (50%) stated that the classification system should be designed by maintaining the main axis of the World Health Organization classification system and changing the subgroups if necessary. A computer-assisted coding system for TM was proposed for the current study. Conclusion: Development of this classification system will provide nationally comparable data that can be widely used by governments, national organisations and academic researchers.","PeriodicalId":55068,"journal":{"name":"Health Information Management Journal","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1833358319872820","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Information Management Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/1833358319872820","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 4
Abstract
Background: Classification of disease and interventions in traditional medicine (TM) is necessary for standardised coding of information. Currently, in Iran, there is no standard electronic classification system for disease and interventions in TM. Objective: The current study aimed to develop a national framework for the classification of disease and intervention in Persian medicine based on expert opinion. Method: A descriptive cross-sectional study was carried out in 2018. The existing systems for the classification of disease and interventions in TM were reviewed in detail, and some of the structural and content characteristics were extracted for the development of the classification of Iranian traditional medicine. Based on these features, a self-administered questionnaire was developed. Study participants (25) were experts in the field of Persian medicine and health information management in Tehran medical universities. Results: Main axes for the classification of disease and interventions were determined. The most important applications of the classification system were related to clinical coding, policymaking, reporting of mortality and morbidity data, cost analysis and determining the quality indicators. Half of the participants (50%) stated that the classification system should be designed by maintaining the main axis of the World Health Organization classification system and changing the subgroups if necessary. A computer-assisted coding system for TM was proposed for the current study. Conclusion: Development of this classification system will provide nationally comparable data that can be widely used by governments, national organisations and academic researchers.
期刊介绍:
The Health Information Management Journal (HIMJ) is the official peer-reviewed research journal of the Health Information Management Association of Australia (HIMAA).
HIMJ provides a forum for dissemination of original investigations and reviews covering a broad range of topics related to the management and communication of health information including: clinical and administrative health information systems at international, national, hospital and health practice levels; electronic health records; privacy and confidentiality; health classifications and terminologies; health systems, funding and resources management; consumer health informatics; public and population health information management; information technology implementation and evaluation and health information management education.