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Decision Support System

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The clinical field is one of the areas that the management has to handle a lot of information from their daily records, patient responses or even from the social media platforms. Notably, a number of health firms have deployed data driven DSS to streamline their decision making process, providing an opportunity to impact changes within the organizational level. It is on this rationale that DSS becomes recommendable for any clinics that intend to remain efficient in the big data era.
In the era of big data, organizations have been faced by a number of challenges while making their management decisions. Notably, organizations use data to inform their decision making process as one way of ensuring accuracy and reliability in business development. However, clinical organizations are experiencing a challenge in handling large loads of data that are now available for decision making. A number of health facilities have to collect data from all its branches and use this data to monitor their business performance and make future decision for their operation. All data including information from patient records, customer feedbacks and other departments are crucial while launching an organization’s strategic plan. In the presence of big data, it storage, processing, analysis and presentation are present challenges for the management (Turban, Sharda, Delen &amp. Efraim, 2007). Secondly, big data requires a lot of time to process while business decisions are time sensitive in a dynamic business environment. Therefore, managers need important efficient mechanisms of acting on available information.
According to a study by MIT, many corporations have either already adopted a data-centric model for decision making, or indicated that implementation of such a model was a top priority (Turban, Sharda, Delen &amp. Efraim, 2007). Top performing businesses are five times more likely to use