B. Adamson , E. Horne , C. Xu , A. Samani , C. Buhl , P. Mpofu , H. Pittell , Q. Zhang , D. Ng , K. Seidl-Rathkopf , N. Schinwald , E. Tajima , A. Sujenthiran
{"title":"英国、德国和日本肿瘤ehr衍生真实世界数据的特征","authors":"B. Adamson , E. Horne , C. Xu , A. Samani , C. Buhl , P. Mpofu , H. Pittell , Q. Zhang , D. Ng , K. Seidl-Rathkopf , N. Schinwald , E. Tajima , A. Sujenthiran","doi":"10.1016/j.esmorw.2025.100113","DOIUrl":null,"url":null,"abstract":"<div><div>Oncology real-world data (RWD) from electronic health records (EHRs) can generate real-world evidence crucial for clinical and policy decisions. However, challenges in accessing and harmonising data across countries limit its global applicability. Flatiron Health has developed oncology EHR-derived RWD datasets in the UK, Germany, and Japan, integrating these with its United States database to support multinational studies. This paper outlines the methods, aligned with the ISPOR EHR-derived data SUITABILITY checklist, to ensure the trustworthiness, reliability, and relevance of these datasets.</div></div>","PeriodicalId":100491,"journal":{"name":"ESMO Real World Data and Digital Oncology","volume":"7 ","pages":"Article 100113"},"PeriodicalIF":2.6000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characterisation of oncology EHR-derived real-world data in the UK, Germany, and Japan\",\"authors\":\"B. Adamson , E. Horne , C. Xu , A. Samani , C. Buhl , P. Mpofu , H. Pittell , Q. Zhang , D. Ng , K. Seidl-Rathkopf , N. Schinwald , E. Tajima , A. Sujenthiran\",\"doi\":\"10.1016/j.esmorw.2025.100113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Oncology real-world data (RWD) from electronic health records (EHRs) can generate real-world evidence crucial for clinical and policy decisions. However, challenges in accessing and harmonising data across countries limit its global applicability. Flatiron Health has developed oncology EHR-derived RWD datasets in the UK, Germany, and Japan, integrating these with its United States database to support multinational studies. This paper outlines the methods, aligned with the ISPOR EHR-derived data SUITABILITY checklist, to ensure the trustworthiness, reliability, and relevance of these datasets.</div></div>\",\"PeriodicalId\":100491,\"journal\":{\"name\":\"ESMO Real World Data and Digital Oncology\",\"volume\":\"7 \",\"pages\":\"Article 100113\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ESMO Real World Data and Digital Oncology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2949820125000025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/7 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ESMO Real World Data and Digital Oncology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949820125000025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/7 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Characterisation of oncology EHR-derived real-world data in the UK, Germany, and Japan
Oncology real-world data (RWD) from electronic health records (EHRs) can generate real-world evidence crucial for clinical and policy decisions. However, challenges in accessing and harmonising data across countries limit its global applicability. Flatiron Health has developed oncology EHR-derived RWD datasets in the UK, Germany, and Japan, integrating these with its United States database to support multinational studies. This paper outlines the methods, aligned with the ISPOR EHR-derived data SUITABILITY checklist, to ensure the trustworthiness, reliability, and relevance of these datasets.