MED INF 406 Decision Support Systems
“This course provides an introduction to decision analysis with an emphasis on medical decision-making and elements of human cognition under uncertainty. Topics covered include structuring decision problems and developing creative decision options, quantifying uncertainty and preferences, and combining them to arrive at optimal decisions. The course also provides the foundation needed to apply the methods of decision analysis in decision support systems and intelligent systems. Students become familiar with the graphical display of medical information, decision analysis and modeling, evidence-based medicine, Bayes' theorem, knowledge-based systems, learning systems, lexicons, coding and structured data entry, and data mining techniques” Reflection During the time I took this course, I was also learning about the new and improved clinical decision module we had recently built into our EHR. Needless to say I was very excited about the information presented in class and looked forward to applying it immediately to my work. As a solution specialist, my role is to demonstrate our EHR solution and its components. While it’s important for me to understand how the application works, it’s equally important to understand the foundation of which it is built. So prior to taking this course, although I was comfortable in explaining and discussing the functionality of our clinical decision support module, I really didn’t know how or where the decision rules came from or how was it decided when those rules would display at the point of care. Our major project of this course was to design or enhance a clinical decision support system (CDSS). This project gave me great insight into the amount of intimate detail that is required to develop a fully functioning CDSS. I chose to enhance our current CDSS with a strong focus on diabetes management. Through this process I learned of the different organizations who are responsible for developing and updating evidence based rules based on disease and medical conditions. One of the books that we used in class that I found to be extremely helpful and also share this with clients is called, “Improving outcomes with clinical decision support: an implementer's guide.” It was very helpful to me in understanding the process of implementing and developing a CDSS. Source: MMI Program
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CDSS Research and Comparisons | |
File Size: | 22 kb |
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CDSS Enhancement for Diabetes Management | |
File Size: | 768 kb |
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