A Mathematical Model for a Hybrid System Framework for Privacy Preservation of Patient Health Records

Electronic Health Records sharing is extremely healthful for medical data analysis while preserving of patients' privacy also play a major role. While cloud computing and the emergence of big data phenomena presents significant opportunity for health care, they also elicit privacy concerns during the sharing of data for analysis and research. The privacy of the patients are at risk while using the electronic healthcare system for the submission of healthcare data through the internet for analysis. The leakage of personal health information can easily be compromise for medical insurance fraud or medical identity theft. These concerns indicate the need to ensure privacy protection when collecting medical data for analyzing or publishing. This study presents a mathematical model for identity based encryption protocol for privacy preservation of the patient during the collection of patient health data for analysis. This has become an integral part of human daily life in which health data are submitted for analysis. The model delinks the patient's identity from the examined data during data submission for the preservation of the patient's privacy.