Use of AI & Embedded Technology in Human Identity Chips for IoMT

Abstract

Technological innovations continue to change the way we do things. Such innovations are meant to make life easier and increase decision-making accuracy. Improper identification of patients has led to increased cases of wrong drug administration and treatment. Radiofrequency identification (RFID) has been around long enough and has proven effective in monitoring and tracking. Implanting RFID chips in patients increases operational efficiency, increases safety, aids in saving costs, and supports the journey of the Internet of Medical Things (IoMT). Artificial intelligence (AI) technology has proved to be more effective than humans in terms of the time taken to complete specificjobs and accuracy levels. RFID is the main technology used for human identity chips; its integration with AI technology will increase diagnostic accuracy and provides medical recommendations for the patient. This report discusses the implications of AI and embedded systems in human identity chips through a detailed review. The major finding in the report is that the increased efficiency of AI in human identity chips is the main driver of AI and RFID applications in modern healthcare. On the other hand, data and security concerns, human safety, and the high cost of adoption are the major barriers to AI and RFID adoption in healthcare and other industries.

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