Abstract

Electronic Health Record (EHR) is the key to an efficient healthcare service delivery system. The publication of healthcare data is highly beneficial to healthcare industries and government institutions to support a variety of medical and census research. However, healthcare data contains sensitive information of patients and the publication of such data could lead to unintended privacy disclosures. In this paper, we present a comprehensive survey of the state-of-the-art privacy-enhancing methods that ensure a secure healthcare data sharing environment. We focus on the recently proposed schemes based on data anonymization and differential privacy approaches in the protection of healthcare data privacy. We highlight the strengths and limitations of the two approaches and discussed some promising future research directions in this area.

Highlights

  • Electronic Health Record (EHR) systems are increasingly adopted as an important paradigm in healthcare industry to collect and store patient data, which include sensitive information such as demographic data, medical history, diagnosis code, medications, treatment plans, hospitalization records, insurance information, immunization dates, allergies and laboratory and test results

  • We have provided a general overview of healthcare data publishing problems and discussed the state-of-the-art in data anonymization and differential privacy

  • It may be of interest to develop a standardization of privacy protection for privacy policy compliance as one of the subjects of future research

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Summary

Introduction

EHR systems are increasingly adopted as an important paradigm in healthcare industry to collect and store patient data, which include sensitive information such as demographic data, medical history, diagnosis code, medications, treatment plans, hospitalization records, insurance information, immunization dates, allergies and laboratory and test results. The availability of such big data has provided unprecedented opportunities to improve the efficiency and quality of healthcare services, on improving the patient care outcomes and reducing medical costs. We conclude the paper and highlight the future research direction in this area

Privacy threats
Privacy-preserving data publishing
Healthcare data
Privacy disclosures
Attack models
Privacy and utility objective of PPDP
Privacy models
Data anonymization
Differential privacy
Findings
Conclusion
Full Text
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