The Outcomes and Interventions of Health Informatics

Instructor: Harold P. Lehmann, MD, Ph.D. , Paul Nagy, PhD, FSIIM

Beginner Level • 6 hours to complete Recommended experience • Flexible Schedule

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

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

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

In this module, you will be introduced to the course through a range of decision support interventions used in health care. We will examine the Five Rights of decision support and go on to discuss the basics for deciding whether to build an intervention and, having done so, how to evaluate it.

In this module, we will focus on issues of design, both for decision support and as they apply more broadly across multiple environments.

In this module, we return to decision support, focusing on rules-- the key structure in most decision support. We'll provide a key framework for making sure you have all the minimum components for ensuring a successful implementation. We'll also address issues of languages used by rules and how to keep rules consistent within and between institutions.

In this module, we will go behind the scenes of decision support, examining where and how we get the knowledge that drives decision support --including data science-- for generating knowledge from data.