医疗保健数据管理计划:遵循公平原则并解决网络安全问题。使用InstructGPT进行系统回顾

A. Stanciu
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引用次数: 0

摘要

本研究侧重于数据相关方面,并强调制定数据管理计划(DMP)的重要性,以解决医疗保健部门研究项目中数据的收集、处理、存储、安全、文档、共享和分发方面的具体挑战。它提供了DMP的概述,并提供了创建包含公平原则的有效计划的指导方针。此外,该研究概述了医疗保健领域数据管理的主要方面,并分析了医疗保健数据应考虑的几个安全问题,如加密、生物识别和数字水印。对文献进行了系统的回顾,以探索数据管理的关键方面,并确定可以纳入dmp的新兴趋势、挑战和创新解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Management Plan for Healthcare: Following FAIR Principles and Addressing Cybersecurity Aspects. A Systematic Review using InstructGPT
This study focuses on data-related aspects and emphasizes the importance of producing a data management plan (DMP) to address the challenges specific to the collection, processing, storage, security, documentation, sharing, and distribution of data in research projects in the healthcare sector. It provides an overview of the DMP and offers guidelines for creating an effective plan that incorporates the FAIR principles. Additionally, the study outlines the main aspects of data management in the healthcare domain and analyzes several security issues, such as cryptography, biometrics, and digital watermarking, that should be considered for healthcare data. A systematic review of the literature is performed to explore the critical aspects of data management and identify emerging trends, challenges, and innovative solutions that can be incorporated into DMPs.
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