Katherine E. Goodman, Monica Taneja, Laurence S. Magder, Eili Y. Klein, Mark Sutherland, Scott Sorongon, Pranita D. Tamma, Philip Resnik, Anthony D. Harris
{"title":"电子健康记录入院来源和出院地点字段与临床笔记的多中心验证，用于识别接触过长期护理设施的住院患者","authors":"Katherine E. Goodman, Monica Taneja, Laurence S. Magder, Eili Y. Klein, Mark Sutherland, Scott Sorongon, Pranita D. Tamma, Philip Resnik, Anthony D. Harris","doi":"10.1017/ice.2024.37","DOIUrl":null,"url":null,"abstract":"<p>Identifying long-term care facility (LTCF)-exposed inpatients is important for infection control research and practice, but ascertaining LTCF exposure is challenging. Across a large validation study, electronic health record data fields identified 76% of LTCF-exposed patients compared to manual chart review.</p>","PeriodicalId":13558,"journal":{"name":"Infection Control & Hospital Epidemiology","volume":"42 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A multi-center validation of the electronic health record admission source and discharge location fields against the clinical notes for identifying inpatients with long-term care facility exposure\",\"authors\":\"Katherine E. Goodman, Monica Taneja, Laurence S. Magder, Eili Y. Klein, Mark Sutherland, Scott Sorongon, Pranita D. Tamma, Philip Resnik, Anthony D. Harris\",\"doi\":\"10.1017/ice.2024.37\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Identifying long-term care facility (LTCF)-exposed inpatients is important for infection control research and practice, but ascertaining LTCF exposure is challenging. Across a large validation study, electronic health record data fields identified 76% of LTCF-exposed patients compared to manual chart review.</p>\",\"PeriodicalId\":13558,\"journal\":{\"name\":\"Infection Control & Hospital Epidemiology\",\"volume\":\"42 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infection Control & Hospital Epidemiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1017/ice.2024.37\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infection Control & Hospital Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/ice.2024.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A multi-center validation of the electronic health record admission source and discharge location fields against the clinical notes for identifying inpatients with long-term care facility exposure
Identifying long-term care facility (LTCF)-exposed inpatients is important for infection control research and practice, but ascertaining LTCF exposure is challenging. Across a large validation study, electronic health record data fields identified 76% of LTCF-exposed patients compared to manual chart review.
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