Data security in healthcare management analysis and future prospects. (2022) - Vaishnav, Rounak
Abstract: For the healthcare business to preserve personal patient information and comply with rules such as those enforced by HIPAA, data security is critical. As a result, more effective healthcare data security solutions are required to assist mitigate the risks of hostile data attacks and technical failure. The most delicate data about an individual is their wellbeing data. Notwithstanding the way that many fitting standards, rules, and consistence necessities exist to ensure wellbeing data, protection and security breaks stay significant worries for electronic medical services frameworks. We address these challenges in this study and present a security and privacy architecture based on the Methodist Environment for Translational and Outcomes Research (METEOR). METEOR is made up of two parts: an enterprise data warehouse (EDW) and a software intelligence and analytics (SIA) layer. It was created at Houston Methodist Hospital. This model proposes that a deliberate blend of advancements and best practices, like specialized de-recognizable proof of information, limited information access, and security controls in the hidden specialized stages, is the most ideal approach to safeguard patient protection. Our findings indicate that the suggested security paradigm makes data security breaches and unauthorized access to patient health information exceedingly unlikely.