1. In the case study, we referred to the systems being developed and used as decision supportsystems. However, we also identiﬁed various artiﬁcial intelligence (AI) technologies. How can a decision support system incorporate and use AI technologies such as pattern recognition? 2. At the Mayo Clinic, patients are given opt-inand opt-out rights concerning whether or not their information is used in the system that determines the most appropriate therapies given the speciﬁc patient proﬁle. So far, 95 percent of the patients have opted to have their information included in the system. (This is the notion of opting in.) Why do you believe that 5 percent of the patients have opted out? Would you opt in or opt out in this case? Please provide your reasoning. 3. In this case, demographic information such asethnicity, gender, and age greatly impacts thequality of the decision support and analysis. The same could be argued for the predictive analytics system used by the Richmond policein this chapter’s ﬁrst case study. Why would some people ﬁnd it acceptable to use such demographic data in this case (for medical purposes) and not in the ﬁrst case (for predicting crime, its location, and itstiming)? 4. One of the most popular and widely usedapplication areas for expert systems ismedicine. What role could an expert systemplay in helping the Cleveland Clinic identifypatients susceptible to abdominal aorticaneurysms? What sort of rules would theexpert system include?How might a monitoring-and-surveillanceagent be used for patients in a medicalenvironment? How can health careproviders take advantage of thecapabilities of an information agent to stay abreast of the latest medical trends and treatments? 5. How might a monitoring-and-surveillance agent be used for patients in a medical environment? How can health care providers take advantage of the capabilities of an information agent to stay abreast of the latest medical trends and treatments?
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