Role Of Decision Making In Healthcare

10116 Words41 Pages

CHAPTER 1
INTRODUCTION

Decision-making has been a topic of significant research over the past few years. The more ambiguous situation for decision-making, the bigger advantage there is to provide decision-support using modeling. Context-awareness is required for better understanding of decision parameters and implications of selecting a particular decision. Most of the decisions in real-time are based on access to information that can support decision-making process. In critical situations such as healthcare management, there is a risk of making incorrect decision based on incomplete or outdated information. Artificial Intelligence (AI) is the realm which enables intelligent decision-support. The information is processed intelligently …show more content…

There is a shortage of experts and professionals in the rural parts of India. There are few facilities available in rural parts of the country because of which medical professionals do not stay or visit such areas. This leads to poor rural public health facilities. The aim of this system is to create an intelligent medical system which enables the health workers in these areas to take medical decisions and provide basic medication to the rural population. Our basic purpose therefore is to be able to manage the complexity of real-life situations and successfully deploy a Multi Agent System using DSS. We believe that our motive of providing a decision making medical system is capable of addressing the medical problems in the rural parts of the country.
1.2. COMPLEXITY OF DECISION MAKING IN REAL WORLD
Medical industry is a critical field where incorrect medical and management decisions can have disastrous economic, social and ecological consequences. The complexity of medical problems requires the development of software tools that are not only capable of storing huge amount of information but also process that information intelligently using experience from experts to provide medical decision support.
George A. Miller gave a classical psychology theory in 1956. He proposed that human short term memory has …show more content…

The first feature is that multi-agent learning deals with problems involving multiple agents and the area involved can be unusually large. The agents interact with each other and the small changes in learned behavior result in unpredictable changes. These changes result in macro-level (“emergent”) properties of the multiagent group as a whole. The second feature states that multi-agent learning may involve multiple agent as learners, each agent learning and adapting in the context of others. This feature introduces game-theoretic patterns to the learning process which have not been fully understood yet. There are three main approaches to learning. They are reward-based, supervised, and unsupervised learning. These methods distinguish by the kind of feedback learners receive from the critics. In reward-based learning, the critic provides a quality assessment (the “reward”) of the learner’s output. In supervised learning, the critic provides the correct output. In unsupervised learning, no feedback is provided at all.
MAS can be classified into Closed and Open MAS. Closed MAS contain agents designed to cooperate with each other easily towards a global goal. An Open MAS might contain agents that are not designed to cooperate and coordinate. The agents in an Open MAS are designed to assist the agents to cooperate and coordinate to work together. The system

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