There are intellectual possessory of creating such systems in any knowledge domain. Good example is the clinical decision support system for medical diagnosis. A bank loan officer verifying the credit of a loan collector or an engineering firm that has declaration and the want to be competitive with their cost. DSS is is commonly used in business and management. Executive dashboard and other business performance software allow quick decision making, assimilation of pessimistic inclination, and good allocation of business resources. A speeded area of DSS application, concepts, principles, and techniques is in agricultural production, marketing for sustainable development. For example, the DSSAT4 package, developed through financial support of USAID during the 80's and 90's, has allowed rapid assessment of several agricultural production systems around the world to facilitate decision-making at the farm and policy levels. There are, however, many constraints to the successful adoption on DSS in agriculture. DSS are also prevalent in forest management where the long planning time frame demands specific requirements. All aspects of Forest management, from log transportation, harvest scheduling to sustainability and ecosystem protection have been addressed by modern DSSs. A comprehensive list and discussion of all available systems in forest management is being compiled under the COST action Forays’ A specific example concerns the Canadian National Railway system, which tests its equipment on a regular basis using a decision support system. A problem faced by any railroad is worn-out or defective rails, which can result in hundreds of derailments per year. Under a DSS, CN managed to decrease the incidence of derailments at the same time other companies were experiencing an increase.
Application system has two forms use in applying decision support system which are ; Clinical decision support system (CDSS or CDS) is an interactive decision support system (DSS) Computer Software, which is designed to assist physicians and other health professionals with decision making tasks, as determining diagnosis of patient data. A working definition has been proposed by Dr. Robert Hayward of the Centre for Health Evidence; "Clinical Decision Support systems link health observations with health knowledge to influence health choices by clinicians for improved health care". This definition has the advantage of simplifying Clinical Decision Support to a functional concept. A clinical decision support system was gotten from an “active knowledge systems, which use two or more items of patient data to generate case-specific advice. This implies that a CDSS is a DSS that is stands on using knowledge management in a way to achieve clinical advice for patient care based on some number of items of patient data. AIM: The main objective of modern CDSS is to help nurses and clinician to take care patient. It means that a clinician would interact with a CDSS to help determine diagnosis, analysis, etc. of patient data. The clinician would put all the information and stay for the CDSS to output the “right” choice and the clinician would smartly work on that output. The new methods of using CDSS to give help forces the clinician to interact with the CDSS utilizing both the clinician’s knowledge and the CDSS to make a better analysis of the patients data than either human or CDSS could make on their own. Clearly, the CDSS would make his suggest of outputs. There are two main types of CDSs.
Timing one how to use is an important issue in CDSS. The doctor uses these systems at point of care to help them as they are dealing with a patient, with the timing of use as either pre-diagnosis, during diagnoses, or post diagnoses. Pre-diagnoses CDSS systems are used to help the physician prepare the diagnoses. CDSS used during diagnoses help review and filter the...