Master of Science in Computer Science
Department of Computer Science
Faculty / School
Faculty of Computer Sciences (FCS)
Date of Submission
Waqas Mahmood, Visiting Faculty, Department of Computer Science
MSCS Survey Report
With the growing advancement of science and technology, research has become the vital step in every educational field. This research survey reflects light on the methods of de-identification and anonymization for protecting the privacy of the patients, practitioners and nurses. Huge amount of patient data is required to researchers for carrying out different analysis. Patient information must thus be preserved to maximum although privacy policies must not make the data less valuable to researchers through over sufficient data masking or by using any other de-identification technique. De-identification and anonymization techniques masks the patient identity through using various techniques such as suppression, randomization, shuffling, creating pseudonyms, generalization, adding noise, scrambling, masking, encoding, encryption etc. The dataset having critical information is called protected health information (PHI) through which an individual can be identified. Thus PHI must be preserved through any means to make data valuable as well as protecting data from hackers.
Shahid, M. U. (2016). De-identification and anonymization of protected health information (Unpublished MSCS survey report). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/survey-reports-mscs/123
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