Towards Implementation of Ethical Principles: Privacy and Confidentiality in Medical Data Mining—Indian Scenario

A. U M, Anandakumar. K. R
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引用次数: 1

Abstract

Datasets constitute a fundamental part of any medical research. Medical data sets (ie, medical records) are generally noted to be large, comp lex, heterogeneous, hierarchical, t ime related, and of varying quality. Such frag mented and distributed data sets challenge efficient data integration and interpretation. Application of data min ing techniques for healthcare related data will be h ighly rewarding. Lack of do main knowledge within healthcare providers calls for active collaboration between the doctor and data miner. Ethical concerns, especially issues of consent and confidentiality have resulted in the introduction of stringent regulations in doing this form o f research in Ind ia. However we found that only 16% of the reviewed publications in medical data mining within India reported of having undergone ethical rev iew. This suggests that the ethical considerations while p racticing data mining is very much undermined. It is mandatory to obtain ethical and legal clearance fro m reg ional as well as Institutional Ethics Rev iew Board (IERB), before using data min ing tools in health care research.
伦理原则的实施:医疗数据挖掘中的隐私和机密性-印度场景
数据集是任何医学研究的基本组成部分。医疗数据集(即医疗记录)通常被认为是庞大的、复杂的、异构的、分层的、与时间相关的和质量参差不齐的。这种分散和分布式的数据集对有效的数据集成和解释提出了挑战。将数据挖掘技术应用于医疗保健相关数据将是非常有益的。医疗保健提供者缺乏基本知识,这需要医生和数据挖掘者之间的积极协作。伦理方面的考虑,特别是同意和保密问题,导致印度在进行这种形式的研究时引入了严格的规定。然而,我们发现,在印度境内的医学数据挖掘领域,只有16%的被审查出版物报告经过了伦理审查。这表明,在实践数据挖掘时,道德考虑受到了很大的破坏。在卫生保健研究中使用数据挖掘工具之前,必须获得区域以及机构伦理审查委员会(IERB)的伦理和法律许可。
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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