A Secure System of Health Care Service

Gokul Narwani; Golu Saini; Harsh Sharma; Gourav Indora; Manish Choubisa

Abstract

A Secure System of Health Care Service is a platform that stores patient information in an orderly way to aid in proper patient diagnosis and treatment. The current manual system has various issues, including: Delayed patient record retrieval, The duplicated records of patients, A lack of safety and Ineffective backup procedures for medical records. Although the Internet has long served as a reliable source of medical information, only recently has it been used for secure online consultations between patients and doctors. There has recently been an increase in mobile applications offering healthcare services. People are becoming more open to the possibility of a visit being replaced by a A Secure System of Health Care Service now that it has established itself in the market. The project's goal is to build a safe A Secure System of Health Care Service that will fix all the problems with the current setup. For the protection of patient medical records, the A Secure System of Health Care Service has several security measures, such as firewalls, IDS, authentication, and access control. The suggested system was implemented using the C# programming language, MySQL as the database engine, and HTML, CSS, Javascript, and PHP as the scripting languages. Based on their unique responsibilities in the clinic, the system gives individual users varied access capabilities. The implementation of the system demonstrates effectiveness in the storage, retrieval, and protection of patient medical records. In order to answer these issues, the current study work examines several health and illness ideas. After describing the reasons bioethicists initially debated concepts of disease, the various functions that concepts of disease can serve are clarified: first, conceptual correctness regardless of how the concept is used in medical practice; second, to guide interactions between those who are ill and professionals like doctors or caregivers like friends and family; third, to guide institutional decisions like insurance reimbursement policies.