Erwyn Chin Wei Ooi, Zaleha Md Isa, Mohd Rizal Abdul Manaf, Ahmad Soufi Ahmad Fuad, Hammad Fahli Sidek, Mimi Nurakmal Mustapa, Azman Ahmad, Fawzi Zaidan Ali, Mohamad Fadli Kharie, Shahidah Adilah Shith, Nuraidah Mohd Marzuki
{"title":"从数据收集到下游数据使用:马来西亚在 ICD-11 方面的经验。","authors":"Erwyn Chin Wei Ooi, Zaleha Md Isa, Mohd Rizal Abdul Manaf, Ahmad Soufi Ahmad Fuad, Hammad Fahli Sidek, Mimi Nurakmal Mustapa, Azman Ahmad, Fawzi Zaidan Ali, Mohamad Fadli Kharie, Shahidah Adilah Shith, Nuraidah Mohd Marzuki","doi":"10.1177/18333583241295717","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The transition of systems to the <i>International Statistical Classification of Diseases 11th Version</i> (ICD-11) allows access to comprehensive data that accurately portray the complexity of morbidity and mortality data in Malaysia.</p><p><strong>Objective: </strong>To demonstrate Malaysia's experience in implementing ICD-11, from data collection to downstream data use applications.</p><p><strong>Method and implementation: </strong>We describe improvements to existing data source systems and downstream data applications. For non-HIS and HIS (ICD-10) systems, data were manually entered into the health management information system equipped with ICD-11 or automatically mapped from ICD-10 to ICD-11. Following these system improvements, we collected and reported ICD-11 data from all hospitals nationwide, regardless of the individual systems' status in ICD-11 use.</p><p><strong>Discussion: </strong>Lessons learnt related to legacy systems; ICD-11 releases and system updates; mapping; reporting; human resources and related applications.</p><p><strong>Conclusion: </strong>With careful planning, standardisation of the collection and use of ICD-11 data can be accomplished with limited resources and in a complex environment with heterogeneous systems.</p><p><strong>Implications: </strong>Use of ICD-11 data in downstream data applications improves data quality to answer specific business or research questions.</p>","PeriodicalId":73210,"journal":{"name":"Health information management : journal of the Health Information Management Association of Australia","volume":" ","pages":"18333583241295717"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"From data collection to downstream data use: Malaysia's experience with ICD-11.\",\"authors\":\"Erwyn Chin Wei Ooi, Zaleha Md Isa, Mohd Rizal Abdul Manaf, Ahmad Soufi Ahmad Fuad, Hammad Fahli Sidek, Mimi Nurakmal Mustapa, Azman Ahmad, Fawzi Zaidan Ali, Mohamad Fadli Kharie, Shahidah Adilah Shith, Nuraidah Mohd Marzuki\",\"doi\":\"10.1177/18333583241295717\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The transition of systems to the <i>International Statistical Classification of Diseases 11th Version</i> (ICD-11) allows access to comprehensive data that accurately portray the complexity of morbidity and mortality data in Malaysia.</p><p><strong>Objective: </strong>To demonstrate Malaysia's experience in implementing ICD-11, from data collection to downstream data use applications.</p><p><strong>Method and implementation: </strong>We describe improvements to existing data source systems and downstream data applications. For non-HIS and HIS (ICD-10) systems, data were manually entered into the health management information system equipped with ICD-11 or automatically mapped from ICD-10 to ICD-11. Following these system improvements, we collected and reported ICD-11 data from all hospitals nationwide, regardless of the individual systems' status in ICD-11 use.</p><p><strong>Discussion: </strong>Lessons learnt related to legacy systems; ICD-11 releases and system updates; mapping; reporting; human resources and related applications.</p><p><strong>Conclusion: </strong>With careful planning, standardisation of the collection and use of ICD-11 data can be accomplished with limited resources and in a complex environment with heterogeneous systems.</p><p><strong>Implications: </strong>Use of ICD-11 data in downstream data applications improves data quality to answer specific business or research questions.</p>\",\"PeriodicalId\":73210,\"journal\":{\"name\":\"Health information management : journal of the Health Information Management Association of Australia\",\"volume\":\" \",\"pages\":\"18333583241295717\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health information management : journal of the Health Information Management Association of Australia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/18333583241295717\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health information management : journal of the Health Information Management Association of Australia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/18333583241295717","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
From data collection to downstream data use: Malaysia's experience with ICD-11.
Background: The transition of systems to the International Statistical Classification of Diseases 11th Version (ICD-11) allows access to comprehensive data that accurately portray the complexity of morbidity and mortality data in Malaysia.
Objective: To demonstrate Malaysia's experience in implementing ICD-11, from data collection to downstream data use applications.
Method and implementation: We describe improvements to existing data source systems and downstream data applications. For non-HIS and HIS (ICD-10) systems, data were manually entered into the health management information system equipped with ICD-11 or automatically mapped from ICD-10 to ICD-11. Following these system improvements, we collected and reported ICD-11 data from all hospitals nationwide, regardless of the individual systems' status in ICD-11 use.
Discussion: Lessons learnt related to legacy systems; ICD-11 releases and system updates; mapping; reporting; human resources and related applications.
Conclusion: With careful planning, standardisation of the collection and use of ICD-11 data can be accomplished with limited resources and in a complex environment with heterogeneous systems.
Implications: Use of ICD-11 data in downstream data applications improves data quality to answer specific business or research questions.