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Research Issue in Data Anonymization in Electronic Health Service: A Survey

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Data Science and Big Data Analytics

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 16))

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Abstract

At today time, the rapid change of technology is changing the day-to-day activity of human being. Healthcare data and practice also made use of these technologies; they change its way to handle the data. The electronic health Service (EHS) is increasingly collecting large amount of sensitive data of the patient that is used by the patient, doctors and others data analysts. When we are using EHS we should concern to security and privacy of the medical data, because of medical data is too sensitive due to their personal nature. Especially privacy is critical for the sensitive data when we give for medical data analysis or medical research purpose, first we should do sanitization or anonymized of the data before releasing it. Data anonymization is the removing or hiding of personal identifier information like name, id, and SSN from the health datasets and to not to be identified by the recipient of the data. To anonymize the data we are using different models and techniques of anonymization. This paper is survey on data anonymization in Electronic Health Service (EHS).

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Author information

Authors and Affiliations

  1. CSE Department, SIT, Symbiosis International University, Pune, India

    Amanuel Gebrehiwot & Ambika V. Pawar

Authors
  1. Amanuel Gebrehiwot
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  2. Ambika V. Pawar
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Corresponding author

Correspondence to Amanuel Gebrehiwot .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  2. School of Science and Technology, Middlesex University, London, United Kingdom

    Xin-She Yang

  3. Department of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India

    Aynur Unal

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Gebrehiwot, A., Pawar, A.V. (2019). Research Issue in Data Anonymization in Electronic Health Service: A Survey. In: Mishra, D., Yang, XS., Unal, A. (eds) Data Science and Big Data Analytics. Lecture Notes on Data Engineering and Communications Technologies, vol 16. Springer, Singapore. https://doi.org/10.1007/978-981-10-7641-1_12

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