Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation
Introduction Despite a higher risk of severe COVID-19 disease in individuals with HIV, the interactions between SARS-CoV-2 and HIV infections remain unclear. To delineate these interactions, multicentre Electronic Health Records (EHR) hold existing promise to provide full-spectrum and longitudinal c...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2022-09-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/12/9/e067204.full |
| _version_ | 1811226994298322944 |
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| author | Bankole Olatosi Sharon Weissman Xiaoming Li Chen Liang Eric G Poon Michael E Yarrington |
| author_facet | Bankole Olatosi Sharon Weissman Xiaoming Li Chen Liang Eric G Poon Michael E Yarrington |
| author_sort | Bankole Olatosi |
| collection | DOAJ |
| description | Introduction Despite a higher risk of severe COVID-19 disease in individuals with HIV, the interactions between SARS-CoV-2 and HIV infections remain unclear. To delineate these interactions, multicentre Electronic Health Records (EHR) hold existing promise to provide full-spectrum and longitudinal clinical data, demographics and sociobehavioural data at individual level. Presently, a comprehensive EHR-based cohort for the HIV/SARS-CoV-2 coinfection has not been established; EHR integration and data mining methods tailored for studying the coinfection are urgently needed yet remain underdeveloped.Methods and analysis The overarching goal of this exploratory/developmental study is to establish an EHR-based cohort for individuals with HIV/SARS-CoV-2 coinfection and perform large-scale EHR-based data mining to examine the interactions between HIV and SARS-CoV-2 infections and systematically identify and validate factors contributing to the severe clinical course of the coinfection. We will use a nationwide EHR database in the USA, namely, National COVID Cohort Collaborative (N3C). Ultimately, collected clinical evidence will be implemented and used to pilot test a clinical decision support prototype to assist providers in screening and referral of at-risk patients in real-world clinics.Ethics and dissemination The study was approved by the institutional review boards at the University of South Carolina (Pro00121828) as non-human subject study. Study findings will be presented at academic conferences and published in peer-reviewed journals. This study will disseminate urgently needed clinical evidence for guiding clinical practice for individuals with the coinfection at Prisma Health, a healthcare system in collaboration. |
| first_indexed | 2024-04-12T09:34:55Z |
| format | Article |
| id | doaj.art-d518817e81b6452f80877481b525823b |
| institution | Directory Open Access Journal |
| issn | 2044-6055 |
| language | English |
| last_indexed | 2024-04-12T09:34:55Z |
| publishDate | 2022-09-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj.art-d518817e81b6452f80877481b525823b2022-12-22T03:38:16ZengBMJ Publishing GroupBMJ Open2044-60552022-09-0112910.1136/bmjopen-2022-067204Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementationBankole Olatosi0Sharon Weissman1Xiaoming Li2Chen Liang3Eric G Poon4Michael E Yarrington5Department of Health Services Policy and Management, University of South Carolina, Columbia, South Carolina, USABig Data Health Science Center, University of South Carolina, Columbia, South Carolina, USABig Data Health Science Center, University of South Carolina, Columbia, South Carolina, USADepartment of Health Services Policy and Management, University of South Carolina, Columbia, South Carolina, USADepartment of Medicine, Duke University, Durham, North Carolina, USADepartment of Medicine, Duke University, Durham, North Carolina, USAIntroduction Despite a higher risk of severe COVID-19 disease in individuals with HIV, the interactions between SARS-CoV-2 and HIV infections remain unclear. To delineate these interactions, multicentre Electronic Health Records (EHR) hold existing promise to provide full-spectrum and longitudinal clinical data, demographics and sociobehavioural data at individual level. Presently, a comprehensive EHR-based cohort for the HIV/SARS-CoV-2 coinfection has not been established; EHR integration and data mining methods tailored for studying the coinfection are urgently needed yet remain underdeveloped.Methods and analysis The overarching goal of this exploratory/developmental study is to establish an EHR-based cohort for individuals with HIV/SARS-CoV-2 coinfection and perform large-scale EHR-based data mining to examine the interactions between HIV and SARS-CoV-2 infections and systematically identify and validate factors contributing to the severe clinical course of the coinfection. We will use a nationwide EHR database in the USA, namely, National COVID Cohort Collaborative (N3C). Ultimately, collected clinical evidence will be implemented and used to pilot test a clinical decision support prototype to assist providers in screening and referral of at-risk patients in real-world clinics.Ethics and dissemination The study was approved by the institutional review boards at the University of South Carolina (Pro00121828) as non-human subject study. Study findings will be presented at academic conferences and published in peer-reviewed journals. This study will disseminate urgently needed clinical evidence for guiding clinical practice for individuals with the coinfection at Prisma Health, a healthcare system in collaboration.https://bmjopen.bmj.com/content/12/9/e067204.full |
| spellingShingle | Bankole Olatosi Sharon Weissman Xiaoming Li Chen Liang Eric G Poon Michael E Yarrington Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation BMJ Open |
| title | Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation |
| title_full | Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation |
| title_fullStr | Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation |
| title_full_unstemmed | Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation |
| title_short | Curating a knowledge base for individuals with coinfection of HIV and SARS-CoV-2: a study protocol of EHR-based data mining and clinical implementation |
| title_sort | curating a knowledge base for individuals with coinfection of hiv and sars cov 2 a study protocol of ehr based data mining and clinical implementation |
| url | https://bmjopen.bmj.com/content/12/9/e067204.full |
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