The role of expert system in nursing care and medicine.Medical departments in nursing and care have employed expert systems using computer applications for solving complicated problems (Brown, 2006).

The role of expert system in nursing care and medicine.Medical departments in nursing and care have employed expert systems using computer applications for solving complicated problems (Brown, 2006).

Medical departments in nursing and care have employed expert systems using computer applications for solving complicated problems (Brown, 2006). These problems would otherwise call for comprehensive expertise in human workforce. The system achieves this by stimulating the process of human reasoning by applying specified interfaces and knowledge. However, expert systems also employ human intelligence in solving problems that require human knowledge. These expert systems correspond to the expertise discernment as rules or data within the computer. Expert systems entail several numbers of components. The knowledge base, a component that contains the knowledge acquired from expert domain, where the basic way of representing the knowledge is by the use of rules. The inference engine, a component charged with the task of manipulating the information stored in the knowledge base, aimed at arriving at a result or solution for the problem in question. The other component is the user interface, which allows the user to post his or her problems to the system, and in turn receives solutions or results for those problems. A majority of the expert systems posses an explanation facility designed to explain to the user how it could conclude the result or the solution posted. Expert systems in the medical field nursing and care have therefore played a pivotal role that ensures accuracy and efficiency of its operations (Brown, 2006).

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Since the early days, the eventual effect of the technological potential in medicine captivated both scientists and doctors. With the emergence of advanced computers, there was a perceived notion that technicians would tune them to assist or even surpass medical officials with tasks such as diagnosing and treatment propositions. Nevertheless, the deployment of expert systems in medicine has contributed to a fair share of encumbrances facing this discipline.

This has been through either by solving conundrums that are not plausible, or by downright imposing changes to the professional procedures highlighted in the medical discipline. The current expert system developers are facing problems of finding accurate ways of characterizing medical practice aspects best suited to the use of artificial intelligent systems. Indeed, when practitioners charge expert systems with an appropriate medical role, they ultimately offer benefits of significant relevance.

The main aim of expert systems development is serving the role of supporting medical workers in their normal day-to-day activities, and offering assistance in problems that depend on the manipulation of technical knowledge and data. Technicians program an expert system to work hand-in-hand with an electronic medical system giving alerts and signals when there is the detection of contraindication to the programmed treatment (Brown, 2006). This system also serves to alert the medical team when it detects a clinical data pattern that suggests a change in the patient’s condition. Together with tasks that need medical knowledge and reason, expert systems also play a different role in the processes of research in science. Expert systems also contain intelligence ability capable of learning, which consequently leads to discovering new phenomena together with the establishment of new medical knowledge. Whereas an existing source of medical knowledge suffices, an expert system plays a role of showing how new sets observations in experiments conflict with already existing medical phenomena.

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