CLINICAL DECISION SUPPORT SYSTEM

The decision making process in the clinical practice and medical attention is a very crucial aspect that does not only affect the patient, but also it speaks volume of the health practitioner or clinician and the health facility that offers such decisions. In our academic-referral medical center, the facility houses a 750-bed capacity that are on adult based medical attention and other more complicated medical issues foe patients. Due to the frequent referral cases that have been posted to the facility, the operations of the facility seem to face challenges and especially in terms of administering patients in the ICU department as the beds are limited to the number of cases referred. Without any attention being offered to this crisis, there is the likelihood of having many casualties suffering from the incompetence.

To be able to accommodate the additional 12-new ICU beds, there needs to have a more additional technological system that will help out in the efficiency and functioning of this undertaking. Characteristics Purpose driven tool or system: The application of the clinical decision support tool is entailed and anchored on delivering a purpose to service for the medical practice. The system design is stipulated to have the assistance support to clinicians towards several issues that surrounds their practice and in more so the confronted critical issue. The tools speculates and indulge into the prospects of patient medical attention, to generate a varying and important decision that cannot be solely made by the clinician or reflects to be a hardcore to undertake and hence the support of the ideology from the system.

The first application of the system by the clinician was provided that the system had its core purpose to perform the decision making process entirely and only get the input of patient information from the clinician and make the decision, (Campion Jr, et al, 2010). However, as it advanced and specifications made on it and the clinician had more input. The view of this directive of favoring or biasing seems to offer the wrong directive and which would be used to curtail off the necessary needed help. The clinical decision support system applies to provide well-calculated and unbiased decisions towards the clinician help to their patients. It provides the aspect of having a relative, efficient, and effective manner and especially in the incidence of ICU matters that affects greatly the continued existence of the person, (Obeidat, et al.

Making the decision that is not favoring any side of thought through the use of both knowledge-based and non-knowledge-based traits and hence the prospects of that efficiency. It is crucial to have a decision made concerning the life of a person or their health status based on incorrect or biased procedures and which will be backed up by the biased direction of the clinician. As opposed to clinician who take a lot of time in consulting other professional, the system provides for an in-built procedure and application of already existing data as well as experience and thus allowing the immediate decision made. The approval of the 12-ICU beds can be well implemented and provide a great basis to effect with such a system that generates quick reaction and decision making other than the stagnating and delayed approval on patient health.

Prediction of drug-dosing complications within the patient body: The application of the systematic measure or provision of the system in making quick and effective decision allows to predict a probable measure for the drug-dosing in the body of the patient, (Castaneda, et al, 2015). The ICU initiative to attend to patient is driven under complicating issues and that which require effective measures to curtail the effects of claiming the patient’s life. The application of the system allows the prediction of the drug metabolism through the usage of the drug dosage given the patient genetic make up. The measure on this front provides for slowed decision support to the clinician and might even limit the initiative to allow the treatment of the patient.