Health Informatics Outcomes and Interventions

For clinical data science to be effective in healthcare—to achieve the outcomes desired—it must translate into decision support of some sort, either at the patient, clinician, or manager level. By the end of this course, students will be able to articulate the need for an intervention, to right size it, to choose the appropriate technology, to describe how knowledge should be obtained, and to design a monitoring plan.

• Identify opportunities for health informatics interventions
• Apply a structured framework to articulate decision support components
• Design knowledge acquisition for decision support
• Outline a health informatics solution for decision support