Collective Analytics For Éxcellence (CAFE) is an application built on a national de-identified repository of healthcare data from Health Catalyst customers’ EDWs and third party data sources that enables comparative effectiveness, research, and unique powerful machine learning algorithms; with a data feedback loop to participating client sites to affect change at the point of decision making.
Comparative benchmark measures spanning deep and wide across the healthcare continuum (provides context to performance, helping to identify and quantify opportunities)
Unique workspace for researchers to glean intelligence from large cross-institutional dataset
More precise predictive models trained on large data sets and delivered at points of decision making
Data Sources
Any organization with a Health Catalyst EDW
Public data sources
See Sample Screenshots of Collective Analytics For Éxcellence (CAFE)
Collective Analytics For Éxcellence: A Deeper View
Success Measures
Opportunity Identification:
Identify potential areas of improvement and leverage learnings across clients to drive improvement within an organization
Process Improvements:
Drive changes at the point of decision making through suggestive analytics and predictive models delivered through a data feedback loop to participating clients
