Smith F Heavner, Wesley Anderson, Rahul Kashyap, Pamela Dasher, Ewy A Mathé, Laura Merson, Philippe J Guerin, Jeff Weaver, Matthew Robinson, Marco Schito, Vishakha K Kumar, Paul Nagy
{"title":"使用开源数据协调工具在重症监护中获得真实世界证据的途径。","authors":"Smith F Heavner, Wesley Anderson, Rahul Kashyap, Pamela Dasher, Ewy A Mathé, Laura Merson, Philippe J Guerin, Jeff Weaver, Matthew Robinson, Marco Schito, Vishakha K Kumar, Paul Nagy","doi":"10.1097/CCE.0000000000000893","DOIUrl":null,"url":null,"abstract":"<p><p>COVID-19 highlighted the need for use of real-world data (RWD) in critical care as a near real-time resource for clinical, research, and policy efforts. Analysis of RWD is gaining momentum and can generate important evidence for policy makers and regulators. Extracting high quality RWD from electronic health records (EHRs) requires sophisticated infrastructure and dedicated resources. We sought to customize freely available public tools, supporting all phases of data harmonization, from data quality assessments to de-identification procedures, and generation of robust, data science ready RWD from EHRs. These data are made available to clinicians and researchers through CURE ID, a free platform which facilitates access to case reports of challenging clinical cases and repurposed treatments hosted by the National Center for Advancing Translational Sciences/National Institutes of Health in partnership with the Food and Drug Administration. This commentary describes the partnership, rationale, process, use case, impact in critical care, and future directions for this collaborative effort.</p>","PeriodicalId":10759,"journal":{"name":"Critical Care Explorations","volume":"5 4","pages":"e0893"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/5c/2c/cc9-5-e0893.PMC10072311.pdf","citationCount":"0","resultStr":"{\"title\":\"A Path to Real-World Evidence in Critical Care Using Open-Source Data Harmonization Tools.\",\"authors\":\"Smith F Heavner, Wesley Anderson, Rahul Kashyap, Pamela Dasher, Ewy A Mathé, Laura Merson, Philippe J Guerin, Jeff Weaver, Matthew Robinson, Marco Schito, Vishakha K Kumar, Paul Nagy\",\"doi\":\"10.1097/CCE.0000000000000893\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>COVID-19 highlighted the need for use of real-world data (RWD) in critical care as a near real-time resource for clinical, research, and policy efforts. Analysis of RWD is gaining momentum and can generate important evidence for policy makers and regulators. Extracting high quality RWD from electronic health records (EHRs) requires sophisticated infrastructure and dedicated resources. We sought to customize freely available public tools, supporting all phases of data harmonization, from data quality assessments to de-identification procedures, and generation of robust, data science ready RWD from EHRs. These data are made available to clinicians and researchers through CURE ID, a free platform which facilitates access to case reports of challenging clinical cases and repurposed treatments hosted by the National Center for Advancing Translational Sciences/National Institutes of Health in partnership with the Food and Drug Administration. This commentary describes the partnership, rationale, process, use case, impact in critical care, and future directions for this collaborative effort.</p>\",\"PeriodicalId\":10759,\"journal\":{\"name\":\"Critical Care Explorations\",\"volume\":\"5 4\",\"pages\":\"e0893\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/5c/2c/cc9-5-e0893.PMC10072311.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Critical Care Explorations\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1097/CCE.0000000000000893\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Critical Care Explorations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1097/CCE.0000000000000893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Path to Real-World Evidence in Critical Care Using Open-Source Data Harmonization Tools.
COVID-19 highlighted the need for use of real-world data (RWD) in critical care as a near real-time resource for clinical, research, and policy efforts. Analysis of RWD is gaining momentum and can generate important evidence for policy makers and regulators. Extracting high quality RWD from electronic health records (EHRs) requires sophisticated infrastructure and dedicated resources. We sought to customize freely available public tools, supporting all phases of data harmonization, from data quality assessments to de-identification procedures, and generation of robust, data science ready RWD from EHRs. These data are made available to clinicians and researchers through CURE ID, a free platform which facilitates access to case reports of challenging clinical cases and repurposed treatments hosted by the National Center for Advancing Translational Sciences/National Institutes of Health in partnership with the Food and Drug Administration. This commentary describes the partnership, rationale, process, use case, impact in critical care, and future directions for this collaborative effort.