DQ1. The authors of the assigned article, “A Patient-Driven Adaptive Prediction Technique to Improve Personalized Risk Estimation for Clinical Decision Support

DQ1. The authors of the assigned article, “A Patient-Driven Adaptive Prediction Technique to Improve Personalized Risk Estimation for Clinical Decision Support (http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3392846/) have found that using patient-driven, adaptive technologies to guide clinical decision making are influencing the quality of patient care. How might these technologies minimize risk, promote health, and encourage patient engagement in their own care?

DQ2. Envision what the health care system of 2030 might look like? Describe at least two technological advancements that would be available to patients. How would technology help providers make health care decisions? How would patients and families interact with providers from their homes or in their communities? What would health care systems be able to do “in real time?”

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