1. Select a defined patient population for example; diabetic patients over 65 years of age. List elements that you think will be valuable in a database. Describe each element and explain each terms of its type of data (text, numbers, date, time, binary, etc.). If an element can be more than one type of data explain how that is possible. Be sure to post an element different from that of your peers.
2. Discuss the type of integration data from your defined patient population in Topic 4 DQ 1 would require. How could the EHR database facilitate this type of integration between clinical and administration systems
3. Select a specific clinical problem and post a clinical question that could potentially be answered using data mining. Identify data mining techniques you would apply to this challenge, and provide your rationale. Are there any specific data mining techniques you would not use? Support your decision
4. Using the clinical question you identified from above, determine the individual components to that question and pinpoint the location in the hypothetical database where the information you require will be extracted.