Forecasting Healthcare Statistics at the Cleveland Clinic

Of utmost importance to managing a hospital system is a thorough understanding of key volumes. As the analytical culture develops at the Cleveland Clinic, we see a shift from reactive decision making to proactive decision making. This calls for a slew of statistical forecast models, inserted into the workflow and at the fingertips of leaders and key decision makers. However, just putting these models out there isn’t enough. We need active end-user engagement and buy in, in order for forecasting methods to be accepted and used to make decisions. This requires consistent interaction between our data scientists and end users throughout the modeling and validation process. This presentation covers Cleveland Clinic’s complete journey from model inception through to end-user acceptance and use for weekly business management. We talk through the forecast model build using SAS®, application of Monte Carlo simulations and programming, output visualization, and the struggle to achieve buy-in from end users.

Presenter: Michael Bromley, Data Scientist, Cleveland Clinic
Session ID: 4785
Topic: Analytics
Industry: Other
Audience: Analyst, Manager, Statistician, Biostatistician
Skill Level: Intermediate

Additional resources
View Proceedings – https://support.sas.com/content/dam/S...
Resource Hub for Data Professionals – https://www.sas.com/sas/offers/resour...

Learn more about SAS Software
Free SAS Online Training – https://www.sas.com/en_us/training/of...
Contact SAS® – https://www.sas.com/en_us/contact.geo...


SUBSCRIBE TO THE SAS USERS YOUTUBE CHANNEL #SASUsers #LearnSAS #SASGF
https://www.youtube.com/SASUsers?sub_...

ABOUT SAS
SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.

CONNECT WITH SAS
SAS ► https://www.sas.com
SAS Customer Support ► https://support.sas.com
SAS Communities ► https://communities.sas.com?utm_source=youtube.com&utm_medium=referral&utm_campaign=sgf-4406690
SAS Analytics Explorers ► https://explorers.sas.com/en/home.htm...
Facebook ►   / sassoftware  
Twitter ►   / sassoftware  
LinkedIn ►   / sas  
Blogs ► https://blogs.sas.com
RSS ►https://www.sas.com/rss