The Outcomes and Interventions of Health Informatics

This course is part of Health Informatics Specialization

Instructors: Harold P. Lehmann, MD, Ph.D. +1 more

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What you'll learn

  •   Identify opportunities for healthcare informatics interventions.
  •   Apply a structured framework for articulating the components of decision support.
  •   Design knowledge acquisition for decision support.
  •   Outline a health informatics solution for decision support

    • Skills you'll gain

  •   Electronic Medical Record
  •   Clinical Data Management
  •   User Centered Design
  •   Requirements Elicitation
  •   Decision Support Systems
  •   Data Collection
  •   Health Information Management
  •   Health Care
  •   Health Technology
  •   Health Informatics
  •   Usability Testing
  •   Solution Design

    • There are 4 modules in this course

    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.

    Defining Decision Support

    Using Transactional and Summative Data and Knowledge for Decision Support

    Eliciting and Creating Knowledge for Decision Support

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