Explaining Health Analytic Results to Leadership: The Art and Science
A blended learning class
Please contact us at [email protected] for availability
“Numbers have an important story to tell. They rely on you to give them a clear and convincing voice”
Stephen Few
Author & Visualization Guru
Of all the resources available within a data-driven organization, executive attention is likely to be that in the shortest supply. Healthcare executives rarely have a background in analyzing data. They are more likely to get new information regarding care advancements and policy changes from the New York Times than scholarly journals. As a result, the presentation strategy surrounding analytics results must change from a didactic format to one that tells a compelling story about a healthcare problem using elegant visuals. Explaining Health Analytic Results to Leadership: The Art and Science presents the concept of storytelling with data as an important competency to ensure that the ‘call to action’ based on analytics results are understood. We share several structured processes for data story development including the creation of TED Talks, which are popular given they appeal to how people think and learn.
Please note: The goal of this course is not to teach the mechanics of a tool and for that reason, it is tool agnostic. Instead, Learners will practice thinking through their data exploration process regardless of the tool used. Exercises can be completed in any tool you wish to use.
This course employs a variety of learning modalities including live, virtual lecture; eLearning; curated microlearning; and coached activities. We provide detailed problem sets, reading resources on timely healthcare use cases, and activities to test your understanding. All problem sets answers will be reviewed by ThotWave experts and returned with copious feedback. In addition, full answer keys will be provided so that learners can see alternative strategies they may not have realized.
To get the most out of this course, Learners must be able to use a data management or visualization tool such as SAS, Qlik, Tableau, R, or JMP. Excel can be used as well if the Learner is skilled in the use of macros.
Instructors will be using SAS, JMP, or Tableau to demonstrate strategies and arrive at problem set solutions and support presentation development.
This course is designed for novice analysts with basic familiarity in executing the mechanics of a data exploration/visualization tool. No statistical knowledge is required. Given the focus placed on executing a structured process for critical thinking for healthcare data, both analysts new to the healthcare industry as well as healthcare analysts desiring more practice would benefit
Learn: 6 hours of lecture
Practice: 31+ hours of reading, quizzes, and presentation design practice
Engage: It’s up to you. Opportunities include:
Payment is accepted securely by credit card. Simply fill out the form on this page. You’ll then receive a prompt to enter your payment details.
Once completed, your space in this course will be secured.
For organizations with 10 or more registrants, group discounts are available. Contact us at here for more information.
Welcome to the course!
Pre-course survey
Get started with your Disqus account
Discussion board: Introduce yourself
Reading assignments
Pre-class discussion question
Connect to the live class
Video: Recorded lecture
Post-class discussion question
Quiz
Problem Set 1: Create a story concept brief
Video: Use case
Connect to the live class
Video: Recorded lecture
Discussion: Post-class discussion question
Problem Set 2: Tweaking visualizations for different audiences
Readings assignments
Video: Common mistakes and how to avoid them
Problem Set 3: Correcting poor visualizations
Readings assignments
Pre-class discussion question
Connect to live class
Video: Recorded lecture
Problem Set 4: Creative thinking exercises
Reading assignments
Pre-class discussion question
Video: Making a killer TED talk
Quiz
Post-class discussion question
Problem Set 5: Find your TED talk
Video: Tools for presentations
Best practices: Curate a visualization lookbook
Resources and luminaries to follow
Problem Set 6: Finalize and submit your TED talk
Problem Set 6b: Submit revisions
Course summary
Course transcript
End of course discussion question
Course assessment
Post-course survey