Literature DB >> 33898098

Ethical Challenges Posed by Big Data.

Edmund G Howe Iii1, Falicia Elenberg1.   

Abstract

Big Data is a term that refers to tremendously large data sets intended for computational analysis that can be used to advance research through revealing trends and associations. Innovative research that leverages Big Data can dramatically advance the fields of medicine and public health but can also raise new ethical challenges. This paper explores these challenges, and how they might be addressed such that individuals are optimally protected. Key ethical concerns raised by Big Data research include respecting patient's autonomy via provision of adequate consent, ensuring equity, and respecting participants' privacy. Examples of actions that could be taken to address these key concerns on a broader regulatory level, as well as on a case specific level, are presented. Big Data research offers enormous potential, but due to its widespread influence, it also introduces the potential for extensive harm. It is imperative to consider and account for the risks associated with this research.
Copyright © 2020. Matrix Medical Communications. All rights reserved.

Entities:  

Keywords:  Big Data; artificial intelligence; data privacy; ethics; healthcare

Year:  2020        PMID: 33898098      PMCID: PMC7819582     

Source DB:  PubMed          Journal:  Innov Clin Neurosci        ISSN: 2158-8333


  1 in total

1.  Data sources for precision public health of obesity: a scoping review, evidence map and use case in Queensland, Australia.

Authors:  Oliver J Canfell; Kamila Davidson; Clair Sullivan; Elizabeth Eakin; Andrew Burton-Jones
Journal:  BMC Public Health       Date:  2022-03-24       Impact factor: 3.295

  1 in total

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