Safeguarding Patient Privacy: Exploring Data Protection in E-Health Laws: A Cross-Country Analysis

Author:

Patnaik Sambhabi,Garikapati Kyvalya,Dash Lipsa,Bhattacharya Ramyani,Mohapatra Arpita

Abstract

INTRODUCTION: Health information amassed during the treatment of a medical condition is termed health data. This data encompasses information gathered about a patient and their family, forming a patient history. The internet has progressively transformed communication, commerce, and information acquisition. Among the diverse domains it has influenced, the healthcare sector stands out as one of the most intricate and unique realms of integration. Big data are the results of normal online transactions and interactions that take place online, the detectors that are implanted in devices and actual locations, as well as the generation of digital contents by individuals whenever they submit data over internet. OBJECTIVES: The need of protection of health data and methods of safeguarding patient privacy. The study also helps \understand and appreciate the best practices which will help India in implementing the law more effectively. METHODS: A doctrinal method of research was employed to analyse the laws and regulations. A comparative approach of different countries gives us the understanding of the gaps and issues. The efficacy of the laws was tested as the paper explores the laws of Canada & Indonesia regarding data protection. RESULTS: In this study, we understood the generation, processing, and interchange of these massive amounts of data can now be facilitated by cloud computing technology. As India, recently enacted ‘The Digital Data Protection Act 2023’ which might be a ray of hope for protection of sensitive health data of individuals from misuse. CONCLUSION: The journey towards optimal data protection is ongoing, requiring continuous adaptation to the dynamic nature of technology and the ever-changing healthcare environment.

Publisher

European Alliance for Innovation n.o.

Reference20 articles.

1. K.S. Bagot, S.A. Matthwes & M. Mason, Current, Future and Potential Use Of Mobile And Wearable Technologies And Social Media Data In The ABCD Study To Increase Understanding Of Contributors To Child Health, 32, Dev. Cogn. Neurosci.,121-129, (2018)

2. Global Strategy on Digital Health 2020-2025, https://www.Who.Int/Docs/Default-Source/Documents/Gs4dhdaa2a9f352b0445bafbc79ca799dce4d.Pdf (Last Visited:12/02/2023).

3. Oracle India, https://www.Oracle.Com/In/Big-Data/What-Is-Big-Data/ (Last Visited:12/02/2023).

4. Vasanthi Vara, Better Data Collection and Convenience For Remote Monitoring Of Patients The Main Benefits Of Using Digital Health Technologies In Clinical Trials, Clinical Trials Arena, (Last Visited: 12/02/2023) https://Www.Clinicaltrialsarena.Com/News/Better-Data-Collection-Main-Benefit-Of-Digital-Technologies-In-Clinical-Trials/

5. At A Glance: Data Protection And Management Of Health Data In Indonesia, 2023, lexology.com/library/detail.aspx?g=1c823558-17b0-4e91-844a-82e746a80883#:~:text=Currently%2C%20Indonesia%20does%20not%20have,data%20protection%20for%20electronic%20systems.(last visited: 28/04/2023)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3