This is what it is and how it can be fixed with the implementation of Decision Support System. A Clinical Decision Support System (CDSS) is a type of expert system (also commonly referred to as a knowledge-based system) used within a clinical setting to support clinical processes. CDSSs are the result of the research of those within both the medical and computer science fields who had wished to develop artificially intelligent (AI) computer systems that would revolutionize healthcare. Clinical Decision Support Systems are often used with Computerized Physician Order Entry (CPOE) functions in hospitals. Decision support logs summarize the numbers and types of decision rules fired, the interactions of the user with the decision rules, and the outcomes of these interactions. For example, if we have a decision rule that warns providers of inappropriate dosing of a drug for particular patient types based on kidney function, the decision support logs can tell us the number of times this rule fired as well as the number of times the prescriber either changed or failed to change the drug. Events can be monitored in the electronic medical record by using medical logic modules, also known as MLMs. Each MLM is an independent unit (such as a single data point) in a health knowledge base that takes the knowledge required (for example, a laboratory value) and combines this with a definition of the way in which the health care provider should apply this knowledge for a single health care decision. For example, an MLM could keep watch for instances in which a patient’s hematocrit (red blood cell count) is low, warning providers of new or worsening anemia. In addition, automated surveillance of international classification of Disease (ICD)-9 codes, new medication orders, or laboratory results using MLMs can identify the presence of possible adverse drug events. For example, in a patient is receiving vitamin K AND is on a blood thinner, then an adverse drug event may be...
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