Why data-driven planning will work for healthcare

Monday, March 21st, 2022 | 12:00 PM - 1:00 PM CT

In many healthcare organizations, the experience of managing through COVID-19 uncertainty has been a catalyst to reevaluate current planning tools and processes to improve planning efficiency and agility. In this session, we’ll highlight the planning trends that have emerged in our industry and examine what modern planning looks like in industries outside of healthcare to project what our future might look like.

A part of this forward-looking session will also explore how data science is evolving and becoming more integrated into planning tools and processes through machine learning and more predictive analytics.

Learning objectives:
  • Understand recent trends in planning and rolling forecasting and in what ways organizations are establishing processes that are more agile and future focused
  • Understand how machine learning and predictive analytics can benefit the planning process in healthcare through their application in other industries
  • Explore what the future of healthcare planning might look like with use cases for how machine learning and predictive analytics using broad market context can inform processes  



Jay Spence (2) - Daniel Gest

Jay Spence

Vice President, Healthcare Strategic Solution Sales, Syntellis Performance Solutions

Steve Wassen - Daniel Gest

Steve Wasson

General Manager, Data and Intelligence Solutions, Syntellis Performance Solutions