Case Study 4 3 KhristleJoyHutalla 1 
Khristle Joy Hutalla
BSBA 2301
Questions
1. In the case study, we referred to the systems being developed and used as decision support systems. However, we also identified various artificial intelligence (AI) technologies. How can a decision support system incorporate and use AI technologies such as pattern recognition?
- Artificial Intelligence (AI) tools and techniques can aid in the diagnosis of disease states and assessment of treatment outcomes, so AI can be used by a decision support system as pattern recognition to analyze healthcare data and generate a representation of knowledge and make a decision support. One of this AI technologies tools is the Artificial Neural Networks which work much like the human brain and have the ability to learn from training data and store knowledge in the network. It maps relationship between inputs and the corresponding expected outputs. Neural networks have found the majority of their application in time series prediction, signal processing, and financial forecasting and especially in health care as pattern recognition.
2. At the Mayo Clinic, patients are given opt-in and 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.
-For me, I think the reason why 5 percent of the patients have opted out because they want to secure their privacy. I think not of all the people are willing to share or give information about them especially when it is confidential.
3. In this case, demographic information such as ethnicity, gender, and age greatly impacts the quality of the decision support and analysis. The same could be argued for the predictive analytics
BSBA 2301
Questions
1. In the case study, we referred to the systems being developed and used as decision support systems. However, we also identified various artificial intelligence (AI) technologies. How can a decision support system incorporate and use AI technologies such as pattern recognition?
- Artificial Intelligence (AI) tools and techniques can aid in the diagnosis of disease states and assessment of treatment outcomes, so AI can be used by a decision support system as pattern recognition to analyze healthcare data and generate a representation of knowledge and make a decision support. One of this AI technologies tools is the Artificial Neural Networks which work much like the human brain and have the ability to learn from training data and store knowledge in the network. It maps relationship between inputs and the corresponding expected outputs. Neural networks have found the majority of their application in time series prediction, signal processing, and financial forecasting and especially in health care as pattern recognition.
2. At the Mayo Clinic, patients are given opt-in and 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.
-For me, I think the reason why 5 percent of the patients have opted out because they want to secure their privacy. I think not of all the people are willing to share or give information about them especially when it is confidential.
3. In this case, demographic information such as ethnicity, gender, and age greatly impacts the quality of the decision support and analysis. The same could be argued for the predictive analytics