Forensic-based remote healthcare monitoring system

Abstract

This paper discussed the design and assessment of a remotely monitored patient health management system using innovative IoT, AI, and blockchain for handling issues of security and legal meaning for healthcare data in addition to system compatibility. A combination of qualitative and technical written methods was used. Self-administered questionnaires, focus-group discussions, and semi-structured interviews were conducted with 15 healthcare professionals (HCPs), 10 lawyers, and 20 patients, which revealed doubt over data accuracy, data security risks, and requirements for forensic-level health care verification. The topic analysis resulted in critical themes where data security complexities were evident in 45 % of cases, legal inadmissibility questions were seen in 30 %, and forensic approaches were considered mandatory in 25% of cases. The technical feature included designing a prototype system with wearable health sensors for real-time vital signs, including pulse rate, blood pressure, and oxygen level. Blockchain technology provided a secure and immutable database, and AI algorithms predicted any unhealthy trends with 92% probability. Performance tests with 50 participants demonstrated the system’s high efficiency: Data Security and Encryption – 98 %, HIPAA and GDPR legal compliance – 95 %, Real-Time Monitoring – 96%. The results of cross-comparison between the forensicbased system and traditional healthcare systems showed that the new system recorded a higher score in data security (98% as compared to 75%), accuracy of monitoring (92% higher than 70%), and legal compliance (95% higher than 60%). The case-based approach even more supported the medico-legal system utilization in documenting injuries and chronic diseases and their ability to revolutionize health care. Despite such a promising concept, issues like data privacy, integrating the infrastructure of the system, and standardization issues that come along with its implementation need to be solved. Therefore, the present investigation established the feasibility of a forensic-based remote healthcare environment in improving the quality of a patient’s treatment, data confidentiality, and the legal advantages of remote healthcare systems in making continuous strides for remote healthcare facilities.