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Health Care Informatics - Research Paper Example

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Decision Support System (DSS) in health care can be defined in very simple words as a system that assists and enables clinicians and any health professional in making a decision towards right diagnosis and apt treatment. Although it comprises mainly software with all…
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Health Care Informatics

Download file to see previous pages... It requires ample data related to the patient’s condition both before and during the illness to assess a near interpretation of the disease. Clinical Decision Support Systems (CDDSS) exceptionally fulfils the data requirement for optimum diagnosis. However, the problem to be solved originates in the minds of the clinician or health care personnel and a DSS could not be expected to lead direct to a confirmed conclusion. But the DSS are designed chiefly to avoid gross anomaly in diagnosis due to variance in expertise among clinicians. Thus Decision Support Systems facilitate potential reconciliation of one group of information with other. A refined definition of DSS is hence put as: A computer – based algorithm that assists a clinician with one or more component steps of diagnostic process. (Eta S.Berner, 1999)
The term DSS is commonly construed as computer based system, since the micro views of clinical settings are generally contained within the perspectives of data bases, model bases, knowledge bases and graphical user interface. However, the broader view of clinical setting is provided by system wide organisational perspective. In view of effective organisational management, the health industry has absorbed and created a virtual dependency on automation, making the usefulness and applicability of computers inevitable. (Joseph K.H. Tan et al, 1998)
Technological developments emerge as a result of innovation. The cult of innovation, although is universally recognised and accepted by virtue of its novelty at its core, the power of innovation is typically uncoiled at the intersection of three components namely, innovation, creativity and environment. (Barbara A. Blakeney et al, 2009). The authors of this article have well established their notion on innovation by delineating two different models of innovation: User-driven innovation & Disruptive innovation. The team ...Download file to see next pagesRead More
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