Michelle S Keller, Pamela Roberts, Kevin Japardi, Joseph E Ebinger, Tod Davis, Joshua Pevnick, Sivathmika Chevvuri, Hudson Stuck, Shao-Chi Huang, Edward Kowalewski, Ashley Lin, Andrew Sanapanya, Alan Tomines, Spencer SooHoo
{"title":"诚实的企业研究经纪人:促进道德,高效和安全访问健康数据的研究。","authors":"Michelle S Keller, Pamela Roberts, Kevin Japardi, Joseph E Ebinger, Tod Davis, Joshua Pevnick, Sivathmika Chevvuri, Hudson Stuck, Shao-Chi Huang, Edward Kowalewski, Ashley Lin, Andrew Sanapanya, Alan Tomines, Spencer SooHoo","doi":"10.1055/a-2499-4090","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong> Health systems generate and store vast amounts of clinical data, requiring structured processes to ensure that secondary use of the data is available to researchers in an efficient, ethical, and secure manner.</p><p><strong>Objective: </strong> We describe a process to provide data to health system researchers at a large, multi-hospital health system that balances efficiency with security and ethics.</p><p><strong>Methods: </strong> The Honest Enterprise Research Broker (HERB) Committee has enacted a systematic process to deliver investigators requesting data, using pre-written SQL code, when possible, to increase efficiency, providing a suite of self-service tools for cohort size estimation, and assessing the security and privacy of data leaving the institution. We evaluated the number of extracts per year, the average time to delivery of the data extract, and user satisfaction with the process.</p><p><strong>Results: </strong> From 2018 to 2023, the HERB Committee completed 487 data extracts. The number of requests increased from 51 in 2018 to 121 in 2023. Even as the number of extracts increased, the number of hours per extract decreased from 12.5 in 2018 to 9 in 2023. User satisfaction surveys found a high degree of satisfaction with the process.</p><p><strong>Conclusion: </strong> Through a process of continuous improvement, the HERB Committee has developed an expedient process to support the research needs of a large academic multi-hospital health system.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"16 2","pages":"362-368"},"PeriodicalIF":2.1000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12043374/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Honest Enterprise Research Broker: Facilitating Ethical, Efficient, and Secure Access to Health Data for Research.\",\"authors\":\"Michelle S Keller, Pamela Roberts, Kevin Japardi, Joseph E Ebinger, Tod Davis, Joshua Pevnick, Sivathmika Chevvuri, Hudson Stuck, Shao-Chi Huang, Edward Kowalewski, Ashley Lin, Andrew Sanapanya, Alan Tomines, Spencer SooHoo\",\"doi\":\"10.1055/a-2499-4090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong> Health systems generate and store vast amounts of clinical data, requiring structured processes to ensure that secondary use of the data is available to researchers in an efficient, ethical, and secure manner.</p><p><strong>Objective: </strong> We describe a process to provide data to health system researchers at a large, multi-hospital health system that balances efficiency with security and ethics.</p><p><strong>Methods: </strong> The Honest Enterprise Research Broker (HERB) Committee has enacted a systematic process to deliver investigators requesting data, using pre-written SQL code, when possible, to increase efficiency, providing a suite of self-service tools for cohort size estimation, and assessing the security and privacy of data leaving the institution. We evaluated the number of extracts per year, the average time to delivery of the data extract, and user satisfaction with the process.</p><p><strong>Results: </strong> From 2018 to 2023, the HERB Committee completed 487 data extracts. The number of requests increased from 51 in 2018 to 121 in 2023. Even as the number of extracts increased, the number of hours per extract decreased from 12.5 in 2018 to 9 in 2023. User satisfaction surveys found a high degree of satisfaction with the process.</p><p><strong>Conclusion: </strong> Through a process of continuous improvement, the HERB Committee has developed an expedient process to support the research needs of a large academic multi-hospital health system.</p>\",\"PeriodicalId\":48956,\"journal\":{\"name\":\"Applied Clinical Informatics\",\"volume\":\"16 2\",\"pages\":\"362-368\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12043374/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Clinical Informatics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1055/a-2499-4090\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/30 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"MEDICAL INFORMATICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Clinical Informatics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/a-2499-4090","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/30 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"MEDICAL INFORMATICS","Score":null,"Total":0}
The Honest Enterprise Research Broker: Facilitating Ethical, Efficient, and Secure Access to Health Data for Research.
Background: Health systems generate and store vast amounts of clinical data, requiring structured processes to ensure that secondary use of the data is available to researchers in an efficient, ethical, and secure manner.
Objective: We describe a process to provide data to health system researchers at a large, multi-hospital health system that balances efficiency with security and ethics.
Methods: The Honest Enterprise Research Broker (HERB) Committee has enacted a systematic process to deliver investigators requesting data, using pre-written SQL code, when possible, to increase efficiency, providing a suite of self-service tools for cohort size estimation, and assessing the security and privacy of data leaving the institution. We evaluated the number of extracts per year, the average time to delivery of the data extract, and user satisfaction with the process.
Results: From 2018 to 2023, the HERB Committee completed 487 data extracts. The number of requests increased from 51 in 2018 to 121 in 2023. Even as the number of extracts increased, the number of hours per extract decreased from 12.5 in 2018 to 9 in 2023. User satisfaction surveys found a high degree of satisfaction with the process.
Conclusion: Through a process of continuous improvement, the HERB Committee has developed an expedient process to support the research needs of a large academic multi-hospital health system.
期刊介绍:
ACI is the third Schattauer journal dealing with biomedical and health informatics. It perfectly complements our other journals Öffnet internen Link im aktuellen FensterMethods of Information in Medicine and the Öffnet internen Link im aktuellen FensterYearbook of Medical Informatics. The Yearbook of Medical Informatics being the “Milestone” or state-of-the-art journal and Methods of Information in Medicine being the “Science and Research” journal of IMIA, ACI intends to be the “Practical” journal of IMIA.