A formal approach to build privacy-awareness into clinical workflows

IF 2.4 Q1 Computer Science
Saliha Irem Besik, Johann-Christoph Freytag
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引用次数: 4

Abstract

Clinical workflows consist of sets of tasks involving patients and healthcare professionals. In such an environment, maintaining the privacy of patient data is a significant challenge. Healthcare providers have to consider both legislative compliances with tightening privacy regulations and growing privacy concerns of individuals. Unlike data security, which aims at preventing unauthorized access, privacy focuses on providing individuals the ability to control when, how, and to what extent their data is used with a particular purpose. In this paper, we present our first steps on transforming existing non-privacy-aware clinical workflows into privacy-aware ones through algorithms based on privacy policies and privacy preferences.
在临床工作流程中建立隐私意识的正式方法
临床工作流程由涉及患者和医疗保健专业人员的任务集组成。在这样的环境中,维护患者数据的隐私是一项重大挑战。医疗保健提供商必须考虑严格的隐私法规的立法遵从性和日益增长的个人隐私问题。与旨在防止未经授权访问的数据安全不同,隐私的重点是让个人能够控制自己的数据何时、如何以及在多大程度上被用于特定目的。在本文中,我们介绍了通过基于隐私策略和隐私偏好的算法将现有的非隐私感知临床工作流程转换为隐私感知的第一步。
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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来源期刊
SICS Software-Intensive Cyber-Physical Systems
SICS Software-Intensive Cyber-Physical Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTURE-
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