Privacy Preservation of Electronic Health Record: Current Status and Future Direction

Abstract

Recent developments in health sector have made it possible to collect, store, manage, and share medical data in large scale. Managing and sharing of health record is primarily requirement in electronic health record software, however, reusability of electronic health records in distributive environment or access by third party must maintain principle of database system and implement the guidelines of international privacy policy standards and regulations. Privacy preservation is the major concern while dealing with real-time datasets in health sector. Privacy preservation algorithms have to ensure protection of sensitive information related to patients’ diagnoses and diseases. Privacy preserving data mining (PPDM) deals with data perturbation, anonymities, and modification as per the requirement of the system. Data perturbation is one of best PPDM techniques that basically deals with numeric values and focuses on privacy implementation. In this chapter, we will select and review different articles that are related to electronic health records (EHRs), their privacy standards, challenges, and regulations currently adopted in different countries. This chapter mainly reviews the current status of privacy preservation polices used in EHR, privacy techniques and analysis, and future scope of privacy in global scenario.