Intelligent Healthcare Agent System Design Issues

In this paper, we will discuss about the different types of intelligent agents of healthcare which delved health information system for better treatment and suggestion. In today's world, computer science plays a vital role in day-to-day life. In almost every field, computers play a vital role according to their requirements. Even in healthcare, computer science (computer) plays an important role in analysing and diagnosing medical problems and diseases. Artificial intelligence (AI) has revolutionised medical science. Nowadays, AI is in high demand in medicinal science. This paper describes important issues related to the characteristics of the Intelligent Healthcare Agent System (IHCAS) and the methodologies used for its implementation. Intelligent agents are a new paradigm for developing software application. Currently, agents are the focus of intense interest on the parts of many subfields of computer science and artificial intelligence. It defines how they are figured out for diagnosis of diseases, symptoms and suggestion. These case-studies lead us to IHCAS and help figure out the most optimal methodology and the best solution for diagnosis. This paper aims to survey important intelligent healthcare agent research works and presents a case-study based on the analysis and comparison of various methodologies used in intelligent healthcare agents. We find that every methodology has some good and some bad aspects. Different methodologies for intelligent healthcare agent are used for providing better healthcare diagnosis problems. Some methodologies are very good in one domain, whereas others are good in a different domain, but the aim of all methodologies is the same, i.e. to solve medical diagnosis problems, food habits, healthy lifestyle and healthcare awareness among the people.