A Comprehensive Review of Privacy-Preserving Techniques in Health Data Analysis

The utilization of computerized apparatus in healthcare has commenced an immense amount of data related to health and medical industry from multiple locations, like Electronic Health Records (EHRs), wearable devices, Health Related applications. The data can help change healthcare by enabling tailored treatment, elevating patient's reports, fostering medical studies and facilitating public health endeavours. The exclusive characteristic of this data breaches critical privacy concerns. If health data is abused it can give rise to grave predicaments such as identity theft or identity pilfering, disparity among patients by doctors or individuals and erosion of trust in healthcare systems. However, the vulnerable essence of such type of data has serious concerns that must be addressed. Thus, the acute need is there to produce and promote the utilization of methods that guard and facilitates insightful analysis of health data while upholding the privacy of the patient. This review article offers a comprehensive glance at the latest methods for conservation of privacy in analysis of health data. It inspects the practices that are currently being utilized and evaluate the efficacy, potential uses and shortcomings while stressing the surging necessity for data handling in a secure and trustworthy manner in healthcare. This article also proffers the evaluation of multiple approaches by assessment of their relevance, performance and shortcomings in genuine healthcare environments. This article recounts the significant facts of secured data processing.