Midwest Alliance for Patient Safety

QuEST

QuEST: Quality Essentials Skills Training

IHA has partnered with the Wisconsin Hospital Association (WHA) to offer the Quality Essentials Skills Training (QuEST). QuEST is a two day quality improvement training intended for quality managers/leaders, HIIN topic team leaders, point-of-care staff and others that are new or need a “re-tread” on basic quality concepts (PDSA and data).

Much like the QHR Boot Camps which IHA has offered in past HENs, QuEST is a “Quality Improvement 101” intended to arm individuals at the hospital level with the QI and data skills needed to improve patient safety and quality. For 2018, we have moved to a QuEST-By-Request model. If you would like training at facility for your staff, we are happy to come to you! We request that you gather a team of at least 15 for one of these sessions. If you are open to hosting a regional session with other organizations, we are happy to work with you to make that happen, and appreciate your generosity!

Below is a list of our upcoming regional QuEST opportunities. This event is being offered free of charge through the HIIN. If you are interested in attending this upcoming session, please view our session agenda and complete the sign up form below. If you have any questions about the upcoming regional session, please reach out to anyone on the IHA HIIN Team.
 
When: Friday, February 8, 2019 from 10am – 4pm
Where: Pinckneyville Community Hospital
Who: Complimentary to all GLPP IHA HIIN Members

QuEST Learning Objectives

  • Discuss the role of a project facilitator
  • Identify the basic steps to use in a PDSA project
  • Discuss the importance of a data-driven approach to quality improvement
  • Discuss process-oriented thinking as the foundation of any improvement approach –clinical or administrative
  • Identify the types of unintended destructive common analyses examples
  • Discuss the crucial distinction between “common” and “special” causes of variation
  • Identify different strategies for dealing with causes of variation