Download Guide to the De-Identification of Personal Health by Khaled El Emam PDF

By Khaled El Emam

Offering compelling functional and felony the explanation why de-identification can be one of many major ways to keeping sufferers’ privateness, the Guide to the De-Identification of private health and wellbeing info outlines a confirmed, risk-based technique for the de-identification of delicate wellbeing and fitness info. It situates and contextualizes this risk-based method and offers a basic review of its steps.

The booklet offers an in depth case for why de-identification is necessary in addition to top practices that will help you pin aspect whilst it is crucial to use de-identification within the disclosure of non-public wellbeing and fitness details. It also:




  • Outlines functional tools for de-identification

  • Describes how one can degree re-identification risk

  • Explains the right way to lessen the chance of re-identification

  • Includes proofs and aiding reference material

  • Focuses in basic terms on ameliorations confirmed to paintings on wellbeing and fitness information—rather than protecting all attainable techniques, whether or not they paintings in perform or not

Rated the head platforms and software program engineering student world wide by means of The magazine of platforms and Software, Dr. El Emam is considered one of just a handful of people around the globe certified to de-identify own overall healthiness details for secondary use lower than the HIPAA privateness Rule Statistical commonplace. during this booklet Dr. El Emam explains how we will be able to make wellbeing and fitness information extra accessible—while keeping sufferers’ privateness and complying with present regulations.

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Guide to the De-Identification of Personal Health Information

Providing compelling functional and criminal the explanation why de-identification can be one of many major methods to retaining sufferers’ privateness, the consultant to the De-Identification of non-public overall healthiness info outlines a confirmed, risk-based technique for the de-identification of delicate well-being info.

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