Data governance in radiology Part I: Overview of data management approaches to radiology.

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
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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.

放射学中的数据治理第一部分:放射学数据管理方法概述。
每年,医疗保健行业都会产生大量数据,放射学作为一门医学专业脱颖而出,通常会产生大量数据。这是由于成像研究中包含大量数据,如CT扫描、核磁共振成像和x光片。随着对成像服务需求的增长,诊所遇到了更多的病人,进行了更多的扫描,导致生成的数据量不断增长。为了维持不断增长的数据量并遵守数据隐私法规,放射科团队需要一个精心设计的数据治理计划来监督数据的可用性、可用性、完整性和安全性。数据治理在得到有效实施时,可以保障数据的一致性和可信度,降低误用的风险。本文综述了与放射学数据治理相关的各种概念和实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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