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在数字健康时代确保医疗保健信息的数据完整性。

Ensuring data integrity of healthcare information in the era of digital health.

作者信息

Zarour Mohammad, Alenezi Mamdouh, Ansari Md Tarique Jamal, Pandey Abhishek Kumar, Ahmad Masood, Agrawal Alka, Kumar Rajeev, Khan Raees Ahmad

机构信息

College of Computer & Information Sciences Prince Sultan University Riyadh Kingdom of Saudi Arabia.

Department of Computer Application Integral University Lucknow Uttar Pradesh India.

出版信息

Healthc Technol Lett. 2021 Apr 16;8(3):66-77. doi: 10.1049/htl2.12008. eCollection 2021 Jun.

Abstract

Data integrity continues to be a persistent problem in the current healthcare sector. It ensures that the data is correct and has not even in any manner been improperly changed. Incorrect data might become significant health threats for patients and a big responsibility for clinicians, resulting in problems such as scam, misconduct, inadequate treatment and data theft. This sort of endangering scenario causes tremendous difficulty in handling healthcare data. This research intends to describe the threat plot of data integrity in healthcare through numerous attack statistics from around the world and Saudi Arabia and identify the criticality in Saudi Arabia in particular. A literature review by descriptive analysis, unit analysis and rating analysis to achieve the planned systematic literature review goal is outlined. The outcome of ranking analysis using a fuzzy analytical hierarchy process methodology offers a route for Saudi Arabian researchers to promote medical records or data security in Arabic healthcare. It is suggested that blockchain is the most prioritized method for regular use and adaptation across Saudi Arabia in all data integrity management techniques. To address the challenges of data integrity and future path, the authors critically examine the challenges posed by data integrity in the healthcare sector.

摘要

数据完整性仍是当前医疗保健领域长期存在的问题。它确保数据正确且未以任何方式被不当更改。错误数据可能对患者构成重大健康威胁,并给临床医生带来重大责任,从而导致诈骗、行为不端、治疗不足和数据盗窃等问题。这种危险情况给医疗数据处理带来了巨大困难。本研究旨在通过来自世界各地和沙特阿拉伯的大量攻击统计数据描述医疗保健领域数据完整性的威胁情况,并特别确定沙特阿拉伯的关键程度。概述了通过描述性分析、单元分析和评级分析进行文献综述以实现计划的系统文献综述目标。使用模糊层次分析法进行排名分析的结果为沙特阿拉伯研究人员在阿拉伯语医疗保健中促进医疗记录或数据安全提供了一条途径。建议在所有数据完整性管理技术中,区块链是沙特阿拉伯常规使用和采用的最优先方法。为应对数据完整性挑战和未来路径,作者批判性地审视了医疗保健领域数据完整性带来的挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/639e/8136763/9406412f7547/HTL2-8-66-g002.jpg

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