Decision Support Systems. Importance of clinical decision.

Decision Support Systems
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Introduction
Decision support is an essential element for decision makers in several industries. In the healthcare industry, clinical decision support systems play an essential role in patient care. Castaneda, et al., 2015). Several state initiatives have encouraged health care professionals to create quality health information systems that target specific health practice groups such as single physician medical practices to adopt integrated delivery networks into their systems. With such efforts, this has resulted in the development of interoperable and longitudinal health records for all patients and therefore, fostered high-quality care (Fromherz, 2013).
Intelligent decision support systems through the assessment of huge patient data with creative and knowledge-based techniques, allow healthcare professionals in acquiring information rapidly and also process it in several ways that will enhance accurate diagnosis and treatment decisions for the patients (Fromherz, 2013).
These decision support system models can, therefore, be applied in healthcare in the analysis of real-time data from numerous monitoring devices. The intelligent decision support system can also monitor and determine common elements and trends in recording medical data in databases, and also the evaluation of patient histories before and during the diagnosis (Bonney, 2011).
The paper will highlight how the hybrid model combines with concept associate to data mining and artificial neural networks, and the manner that they can be applied to patient data for intelligent decision support in healthcare. The paper will also indicate the importance of clinical decision support systems in healthcare and also some of the risks associated with using these systems. Additionally, the IDSS model will also be included.
Importance of clinical decision support systems
Clinical decision support systems are important in alleviating the time demand placed on medical professionals. When the Affordable Care Act was introduced, forty-six percent of emergency medicine health professionals have observed a huge rise in the number of emergency care patients (Chaudhry, 2008). CDSS are also important in accounting for the ever-changing pharmaceutical rules and interactions and also the increasing number of sub-specialty physicians that interact with patients.
CDSS is vital in changing the economic efficiency of the care pieces through modifying the resources necessary for patient care or by altering the number of patients care for with the same level of resources available (Fromherz, 2013). The benefits of this efficiency can accrue to the healthcare institution, and therefore the implementation of the CDSS would be observed in other departments of the enterprise.
Clinical decision support systems do not replace the knowledge, and the judgment of the medical provider, however, it complements their skills and enhances the quality of care provided (Castaneda et al., 2015). Through the use of IDDS by medical professionals, this helps in reducing the incidences of preventable medical errors and adverse patient outcomes.
CDSS improves the rate at which the patient is diagnosed. When medical professio...