Webinar

Translating bedside data into board room information: How to transform raw data into meaningful information for healthcare leaders

Clinical Quality Insights

October 17, 2024

10:00-11:00 a.m. PT | 1:00-2:00 p.m. ET

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Hospitals and other healthcare institutions struggle to interpret performance data, focus on meaningful “next steps,” and choose between competing priorities for improvement. It is more important than ever to present performance data to leaders in a format that will drive decisions and enable effective governance. 

We'll be joined by Ken Rohdes, President of KRRohde LLC, an independent consulting firm focusing on improving business effectiveness through technology-based approaches to tracking and preventing human errors, analyzing, modeling and managing risk and the overall cost of quality, effective communication of strategy and improving organizational safety and effectiveness. He has over 40 years of experience in quality management and has consulted at hundreds of healthcare facilities throughout the United States. 

Our national experts in quality and safety will share:

  • Five practical tools to translate raw data into meaningful, action-ready information
  • Four simple questions your data should answer for leaders
  •  Tools for visual analysis of graphs and charts
  • Four-quadrant graphs to help visualize your data
  • Effective methods to choose which of the hundreds of opportunities for improvement should float to the top of the priority list

 

Chartis Clinical Quality Solutions

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About the Webinar Series

Clinical Quality Insights, a Webinar Series, is a complimentary webinar program that provides insights into today's most challenging topics related to clinical quality, safety, and compliance.

Panel discussions are led by nationally-recognized healthcare industry experts, including Chartis and Greeley leaders. Each 60-minute webinar includes an interactive Q&A portion—come with your most pressing clinical quality questions. 

Translating bedside data into board room information

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