The requirements to implement a successful Clinical Decision Support System

The requirements to implement a successful Clinical Decision Support System

Clinical Decision Support System

Decision support systems have been considered an import aspect of clinical industry due to their role in assisting physicians and nurses in making improved decisions. Their roles are visible in analyzing data using various platforms such as the interface engine and the various sources of data to summarize all the issues raised by a patient. Their role is not limited to the tasks they may undertake since organizations can decide to develop their own design and apply specific aspects that they deem as the most important in their own contexts.

For there to be a successful Implementation of a Clinical Decision Support System, there is always the need to develop a design that considers the methods that will be adopted in summarizing the data. This can be considered as the knowledge management practice of the system. The role of decision support systems is always guided by specific norms and principles, which are useful in summarizing the data just as it may be availed to the end users. In effect, a successfully implemented system has a unique way of handling queries, which show consistency and which avails all the options ranking them based on their similarity or their preferences. The physicians and nurses then decide by applying their knowledge and experience to the proposed solutions (Berner, 2007).

The second requirement to developing a Clinical Decision Support System is the technological underpinnings that are adopted for the specific scenarios. The most common underpinning is the linkage to the various platforms such as the internet based, handheld devices, networked electronic medical records, and the computers. Each of these platforms is unique yet it relies on the need of the existing information and constraints. A successful clinical support system would be one that has as much information as possible allowing for the possibility of using artificial intelligence to resolve issues as they arise. In effect, the system must be able to withstand large amounts of data, which can be obtained in short period allowing physicians to decide on what they deem to be most useful to undertaking their role or to making decisions.

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