Advantage Of An Expert System

According to the Institute of Medicine (IOM) report To ERR Is Human, as many as ninety-eight thousand people die in hospitals in the United States every year due to preventable health care errors (Nelson, Staggers, 2014). Even though some years have passed by since the report was issued, little had changed. Furthermore, McGlynn et al. demonstrated that, on average, patients in the United States receive only fifty-four percent of the recommended processes of medical care (Nelson, Staggers, 2014). However, when the first studies were performed demonstrating the difference with of clinical decision

An Expert System is software that uses understanding clarification methods in areas where individuals would generally be checked. Each system is broken down in detailed problem fields. The disadvantage to this system is that the information of the fields is narrow.

There are several different types of systems like Customer Relationship Management (CRM), and Enterprise Resource Planning (ERP), which are being used by organizations to make decision processes. These systems have progressed tremendously in the last few years by making large amounts of information accessible using data marts and data warehouses (Wixom & Watson, 2001). The above mentioned systems and many more that are not mentioned above allow managers to analyse data depending on the business requirements, to make better informed decisions. These systems have made the decision-making processes easy to a certain point, when used properly. If this system are not used effectively, they can prevent optimization of the decision making process. Humans are the once who make decisions in any organisation/industry and not

The premise of each organizational function impacts the environment both internally & externally. That in itself contributes to how organizational advancement will be attained. The systems/ processes create methods which enable each component to take the proper functions to complement each phase within that system. The knowledge based decision making serves as a scenario based test of the organized knowledge model enables decision making to understand the structure of the target problems and identify its basic cause, which facilitates effective decision making (Elsevier, 2004). The knowledge based decision making serves as key components in developing a system that helps provide a quality educated analysis for decision making. Elsevier believes,” much knowledge based decision making focus on identifying, storing, and disseminating process related knowledge in an organized manner. This specific functions allows necessary information to be used in its proper context with specific

The aim of this report is to look at information based decision making to help identify and select sources of information, analyse and present information to support decision making and communicate the results of information analysis and decisions. I will look at the key models and

Achieving effective utilization of information in decision-making is a major problem in organizations. The literature in computers and information systems views the problem as one of finding ways to transfer knowledge relevant to a decision to the agents involved in the decision. This makes sense when the knowledge is general or when the problem is one of discovering new techno logy that will convert specific to general knowledge. When the relevant knowledge, however, is specific, and when the technology (for example, in computing and communications) is unable to lower the cost of transfer substantially, this approach will fail.

Clinical Decision support system (CDS) is one of the approach for evidence-based information to clinician at the point of care. The CDS brings about a provision for clinical knowledge clubbed with patient specific information. This enhances patient care. In most of the cases, the rules that are used for CDSS include “If conditions then criticism”. The other includes Bayesian reasoning, infobuttons etc.

The knowledge base consists of information regarding the user behavior and ADL that include self-care tasks, household duties, and personal management actions. It specifies the task to be carried out and the actions to be performed. The relational database presents a natural association between the two elements of the decision support system, and the use of the database to additionally represent a novel approach to knowledge engineering (KE) for planning.

This system is divided in a knowledge base and inference rules. In the video, this system is used when it comes the control center. The employees are checking flights and regulating flows thanks to precious information given in their computer like the weather, the flow rate and a packaging monitoring.

It is the purpose of this paper to discuss essential concepts of knowledge based decision making with respect to a personalized model for effective decision making that fosters a simple, yet sound process that is capable of sustaining good decision making practice into the future.

Prescriptive theories of choice such as SEU are complemented by empirical research that shows how people actually make decisions (purchasing insurance, voting for political candidates, or investing in securities), and research on the processes people use to solve problems (designing switchgear or finding chemical reaction pathways). This research demonstrates that people solve problems by selective, heuristic search through large problem spaces and large data bases, using means-ends analysis as a principal technique for guiding the search. The expert systems that are now being produced by research on artificial intelligence and applied to such tasks as interpreting oil-well drilling logs or making medical diagnoses are outgrowths of these research findings on human problem solving.

Artificial Intelligence software- software developed using non-numerical algorithms to solve complex problems that are not able to perform computation or straight forward analysis.

The development of an expert requires one to employ optimal learning that is appropriate for that domain. Experts have extensive knowledge which allows them to perceive large meaningful patterns, see and represent a problem at a deeper

Expert systems lack the breadth of knowledge and the understanding of fundamental principles of a human expert. They typically perform very limited tasks that can be accomplished by professionals in a few minutes or hours, such as

In everyday routine, people make hundreds of decisions in their personal and professional lives in response to different situations. For example, whether a particular candidate should be hired for the designation offered or the promotional discount will help to enhance sales or not etc. It is considered that more the background information or data available, the better the human’s ability to make good decisions from the various possibilities (Nauman, 1990).