A Technical Analysis of MIOT in Sensitive Aspect

Point of care (POC) diagnoses & medical apps that use the internet of things (IoT) as well as the pervasive cellphone are starting to gain acceptance in the healthcare sector. Biosensors will be used in modern medical diagnoses to gather biological information. The forecast of biosensors with the ability to be employed in POC & IoT applications is shown in this study. Three different kinds of biosensors are chosen for this study. Such biosensors can analyze your breath, saliva, & blood. Technology maturity levels depending on the Fisher-Pry model were developed using the Business Model (BM) & Patent Analysis (PA) of such biosensors. For BM and PA, The Science Citation Index (SCI), which is drawn from international patent databases, is employed. These Fisher-Pry projections, also known as Scurves, allow for anticipating growth and providing insight into levels of maturity of the developing biosensor technology (BT) under examination. According to PA based on cumulative yearly patent count, the technology maturity midway for blood biosensors was achieved in 2009, but that for saliva & breath biosensors behind by 8 & 14 years, accordingly. When predicting the maturation and growth of the 3 biosensors, BM and annual publication number did not seem to be very useful.