Finite State Automata for Real-Time Health Electronic Record Update: A survey

The sudden exodus of healthcare worker has left many healthcare organizations with limited capabilities to provide efficient and continuous care for long-term patients. When the COVID-19 pandemic arose, society has witnessed the lack of sophisticated medical systems. An abundance of acute patients in long term care needing consistent monitoring has left the healthcare workforce to dwindle due to strict monitoring protocols and fatigue. Due to these global events, it has become apparent that more advanced methods of automated e-health processes should be implemented to relieve the distress within the workforce. As Internet of Things (IoT) becomes prominent within major commercial and military sectors, the interoperability between devices is increasing significantly. Intelligent medical devices and network connectivity in major healthcare organizations have been using IoT and cloud computing to maximize productivity and minimize workforce fatigue. Currently, the limitations of health monitoring systems and smart devices are data interoperability and human intervention errors. In this survey, we will review the selected Finite State Automata that are able to be implemented for real-time update to assist the major issues based on human intervention errors and a framework for updating e-health records.