Abstract
Robotic process automation (RPA), a forthcoming technology revolution, intends to reduce people’s daily workloads by getting rid of tedious and repeti- tive tasks. The scientific community is now able to conduct a wide range of new types of study in this area, which opens up a whole new universe of possibilities. Compared to robotics, it is a very different kind of technology. RPA is a rela- tively new and quickly growing sub-field of robotics. The healthcare and phar- maceutical industries produce a large amount of data, or what we may refer to as ”medical big data,” making it all the more important to analyse and assess this data when it comes from different sources. The main features would include managing appointments, patient scheduling, managing claims and automating medical claims, Invoice Processing, Healthcare Inventory Management, per- sonalized healthcare, Automation in the contact centre and Management of the Treatment Cycle. The extra feature proposed in this model is the mental health monitor system. In this study, we reviewed the most recent studies on mental state monitoring, concentrating primarily on those that use sensors to collect behavioural data and machine learning to analyse that data. we provided a classification taxonomy that, in our opinion, will aid new researchers in this subject in comprehending the general structure of such systems.
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