Chloe M Chhor, Surbhi Raichandani, Liam du Preez, Nicholas R Brandser, Joseph Fotos, Rahim S Jiwani, David Li, Prabhakar Shantha Rajiah, Jessica M Sin, Xuan V Nguyen
{"title":"Data governance in radiology Part I: Overview of data management approaches to radiology.","authors":"Chloe M Chhor, Surbhi Raichandani, Liam du Preez, Nicholas R Brandser, Joseph Fotos, Rahim S Jiwani, David Li, Prabhakar Shantha Rajiah, Jessica M Sin, Xuan V Nguyen","doi":"10.1067/j.cpradiol.2025.06.004","DOIUrl":null,"url":null,"abstract":"<p><p>Each year, the healthcare industry generates a substantial amount of data, and radiology stands out as a medical specialty that often produces significant volumes of data. This is due to the large amount of data contained within imaging studies such CT scans, MRIs, and radiographs. As the demand for imaging services grows, practices encounter more patients and perform more scans, leading to an ever-growing volume of generated data. To sustain the growing volume of data and to adhere to data privacy regulations, radiology groups require a thoughtfully designed data governance program to oversee data availability, usability, integrity, and security. Data governance, when effectively implemented, safeguards the consistency and trustworthiness of data, reducing risk of misuse. This review summarizes various concepts and practices related to data governance in radiology.</p>","PeriodicalId":93969,"journal":{"name":"Current problems in diagnostic radiology","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current problems in diagnostic radiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1067/j.cpradiol.2025.06.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Each year, the healthcare industry generates a substantial amount of data, and radiology stands out as a medical specialty that often produces significant volumes of data. This is due to the large amount of data contained within imaging studies such CT scans, MRIs, and radiographs. As the demand for imaging services grows, practices encounter more patients and perform more scans, leading to an ever-growing volume of generated data. To sustain the growing volume of data and to adhere to data privacy regulations, radiology groups require a thoughtfully designed data governance program to oversee data availability, usability, integrity, and security. Data governance, when effectively implemented, safeguards the consistency and trustworthiness of data, reducing risk of misuse. This review summarizes various concepts and practices related to data governance in radiology.