Healthcare Analytics Academy

8 week course: TBD

Please contact us at [email protected] for availability  

“The greatest value of a picture is when it forces us to notice what we never expected to see”

John Tukey

Famed Mathematician & Statistician

Healthcare is often characterized as “data rich, but information poor.”  This challenge is exacerbated by the pure volume and variety of data generated at the point of patient care and careening outwards – impacting clinicians, administrators, researchers, payers and regulatory bodies.  The reality is, data means little without our ability to visually convey it.  

To that end, great visualizations understand how people learn, think, and consume information. Whether building a business case to open a new clinic, presenting research findings, or evaluating clinical outcomes, we are crafting a story that is defined by the graphics that we use to tell it. Best Practices for Health Data Visualization is a tool-agnostic blended learning course that provides tips on how to improve visual representations of health data in a way that connects with the different personas commonly present in a healthcare audience.  Through a structured process, learners will apply lessons to real healthcare data using open-ended problems sets that provide rigorous practice.

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.

Learning Objectives

• Define a visualization's goals and expected actions using a project brief template
• Explain and apply the foundations of good design techniques used in presenting data
• Recognize types of visual displays found in data products and how they act as vehicles for communication
• List the factors drive the choice of data visualization
• Link the approach to explaining data with visualizations to the needs of the stakeholder audiences
• Communicate insights such that the organization can effectively and efficiently operationalize the recommendations
• Interpret visualizations of health data to make changes to business processes and evaluate business initiatives
• Identify how the wrong visualizations can hide the truth about data and the business context
• Employ good design practices for creating layouts of compound visualizations
• Execute a cadence of practicing data visualization as part of a professional development strategy
  
  

Format

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.

Requirements

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.

Audience

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 

Time Commitment

Learn: 6 hours of lecture
Practice: 20+ hours of reading, quizzes, and problem set practice
Engage: It’s up to you. Opportunities include:

• Individual coaching (optional add-on for 2 hrs or 4 hrs)
• Create a professional development plan with a skills assessment against our Healthcare Analytics Competency Model (optional add-on)

More questions? Check out our FAQ and learn how we are different!

Payment

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.