Clinical Decision Support System for Diabetes Prevention: An Illustrative Case

Sarin Shrestha (Dakota State University, USA)
Copyright: © 2013 |Pages: 329
EISBN13: 9781466641525|DOI: 10.4018/978-1-4666-2671-3.ch017
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Millions of people around the world have diabetes. It is the seventh leading cause of death in US. An advancement of technologies may serve as the backbone for controlling diseases. Computerizing healthcare is expected to be one of the powerful levers essential for significant transformation in the quality and cost of delivering healthcare. Data management and technology is essential for providing the ability to exchange data and information at the right place in the right time to the right people in the healthcare process, to enable informed decision-making, and to achieve better health outcomes. Clinical Decision Support System (CDSS) provides guidance specific to the patient, including importing/entering patient data into the CDSS application and providing relevant information like lists of possible diagnoses, drug interaction alerts, or preventive care reminders to the practitioner that assists in their decision-making. This chapter has focuses on the use of CDSS for diabetes prevention.
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