Reference no: EM133551932

Question A.1. Describe a scenario for healthcare data-analysis-decision.

Question A.2. Explicitly provide: (a) the source of the data, (b) the type of data to be collected, and (c) the fields of the data to be collected.

Question A.3. What 'important decision' can the data influence if analyzed appropriately? A Very Simplistic Example (Think much better ones, possibly learning from healthcare practice): Scenario: A patient feeling fatigue and body pain Question: Whether the patient has vitamin D deficiency? Data source: Blood test, data type: tester/markers for vitamin D, fields: age, gender, body mass index, the severity of fatigue complaint, history of deficiency, pain levels, and any other markers. Decision: A simple analysis matching the symptoms and test results with tested and validated vitamin issues will reveal the patient's fatigue issues. If the tests and markers are below a certain level and directly relevant to vitamin D deficiency, prescribe a dosage. ** While answering the above questions, try to be succinct. *** Please discuss the 'feasibility and issues/challenges of each other's proposed data-analysis-decision process. B. Concepts around BI-OIS B. 1. What are the ways sensors could impact healthcare outcomes? Are there any additional ways you can think of other than those discussed in the book chapter? B. 2. Provide an example of sensor data collection that can influence some high-level decisions in healthcare. How can the data be collected, i.e., through sensors or images, manually or automatically? How can the data be analyzed, i.e., which applications or methods can be used?