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Expert system
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The ePediatrician system is a web-based expert system that contains two major components: a website and an expert system embedded into the website. The expert system is a rule- based expert system consists of the knowledge base (KB) which contains a series of rules and the inference engine that is to infer the diagnosis through examining the user’s input and the rules in the KB. The website is connected to a database and includes different webpages that receive users’ inputs and display desired outputs. The architecture of the ePediatrician web-based expert system is shown in figure 1.
4. SYSTEM DESIGN
This section provides an overview and a brief description of the system design. The system structure, the database design, and the user interface
In conclusion, clinical decision support systems provide a mechanism for improving the quality of care services when integrated with evidence-based practice and clinical guidelines. These systems would particularly improve health care quality when combined with evidence-based medicine. This process may also include the use of databases and condition-specific clinical guidelines to improve their effectiveness and efficiency.
The importance of a state of the art Management Information System cannot be overlooked. The system will not only allow management to better understand their department's contributions but also allow them to take the appropriate actions necessary to meet customer needs. The proposed system will ensure that Riordan Manufacturing, Inc. not only meets but consistently exceed its strategic and tactical goals within the global business community.
Rainer, K., & Cegielski, C. (2011). Introduction to Information Systems. (4th ed.). Danvers, MA: John Wiley & Sons.
A major component of clinical decision support system is it helps locate and prevent errors made by many providers. Other components of a clinical decision- support system are speed- this can make or break at system, it is very annoying if you have to set and wait for the system to perform a simple function as looking up information, the need and delivery of real time- if there is lag time and the information needed doesn’t appear in seconds it can pose as the system is not performing up to par, fit of the users work –flow- the alerts, guidelines, and algorithms need to be in place so there are no confusions when a users are dispersing medications, usability- this makes a tremendous difference in how a system performs many clinician want to be able to use a computer system with ease, if the system is to complicated it can appear as not user friendly, being aware that there will be resistances from the provider- offend many providers will give pushback on changing there mind without input as to way a change is required; for example should x-rays be taking on all patients with abdomen pain, approximately five percent of physician actually went with the recommendation of not ordering x-rays on patie...
This database will serve a diverse range users, each with different needs. Prior to constructing this database, I created a list of questions that I suspected may have been of interest to a given stakeholder, and then ensured that my database could answer them. I have listed a sample of these questions in Appendix I and have provided relevant queries to demonstrate the usefulness of the database.
...g system that supports the scalability of their data. The following is their input on their new proposal to create a new operational insight tool in order to provide a solution to their challenge:
Our clinical knowledge is expanding. The researcher has first proposed the concept of electronic health record (EHR) to gather and analyze every clinical outcome. By late 1990s computer-based patient record (CPR) replaced with the term EHR (Wager et al., 2009). The process of implementing EHR occurs over a number of years. An electronic record of health-related information on individual conforms interoperability standards can create, manage and consult with the authorized health professionals (Wager et al., 2009). This information technology system electronically gather and store patient data, and supply that information as needed to the healthcare professionals, as well as a caregiver can also access, edit or input new information; this system function as a decision support tools to the health professionals. Every healthcare organization is increasingly aware of the importance of adopting EHR to improve the patient satisfaction, safety, and lowering the medical costs.
The database application design can be improved in a number of ways as described below:
[7] Elmasri & Navathe. Fundamentals of database systems, 4th edition. Addison-Wesley, Redwood City, CA. 2004.
The purpose of the new system that I will develop is to improve on the
The reason for this report is to see what types of people use the system and for what particular uses. To see whether they think the system is working well and all it could be or whether they think it could do with some improvements.
...s or user feedback, related patterns and similar approaches for possible solutions .to this problem, and source code (Hagge, & Lappe, 2005).
Expert Systems: The Past, Present and Future of Knowledge-based Systems Expert Systems were invented as a way to decrease the reliance by corporations on human "experts" -- people who apply reasoning and experience to make judgements in a specific field, such as medicine, insurance underwriting or the operation of a power-plant. Hence, an expert system should include a database of facts and a way of reasoning about them. In many, but not all, applications it is also helpful to have a way for the system to reason with probabilities or non-Boolean truth values. Expert systems are also sometimes referred to a "knowledge-based systems".
ES can be defined as an AI-driven computational system that uses a knowledge base of human expertise to aid in solving problems. Several types of expert systems can be identified according to their types – Liao (Liao, 2005) identified several types of expert systems, according to techniques, used for their development, such as rule-based systems, knowledge-based systems, neural networks, case-based reasoning, intelligent agents, modelling-based and others. According to these sources, such features of ES can be identified:
Laudon C. & J. Laudon (2003: 5th edition) Essentials of Management Information Systems. London: Prentice Hall International Limited