Children and Adult Health Home for NYS

SERVICES ENGAGED 

  • Data Collection
  • Stakeholder Interviews
  • Data Analytics
  • Data Integration
  • Software Design+Development
  • System Integration
  • SQL
  • PowerBI

BY THE NUMBERS

reduction in staff hours
required for data collection
upstream, downstream and
internal data sources
integrated into one system
self-service analytics
engine created

Reducing  Staff Hours and Increasing Productivity through the Power of Analytics

A data-driven approach delivery value-added care for underserved populations.

 

As a non-profit organization providing services state wide, Children and Adult Health Home for NYS has the added challenge of having multiple stakeholders with multiple metrics for success. CCNY employed a collaborative process that included interviews with multiple stakeholders ranging from leadership and administration to care coordinators and finance staff. We then used the collected data to create an integrated system that gathered data from multiple sources to accurately reflect the network’s impact on the populations they serve. The result being a system that identified high, medium and low-risk populations, demographics, discharge numbers, enrollment and engagement rates by provider and region—at a significant decrease in the staff hours previously required to garner this information.

Reducing  Staff Hours and Increasing Productivity through the Power of Analytics

A data-driven approach delivery value-added care for underserved populations.

 

As a non-profit organization providing services state wide, Children and Adult Health Home for NYS has the added challenge of having multiple stakeholders with multiple metrics for success. CCNY employed a collaborative process that included interviews with multiple stakeholders ranging from leadership and administration to care coordinators and finance staff. We then used the collected data to create an integrated system that gathered data from multiple sources to accurately reflect the network’s impact on the populations they serve. The result being a system that identified high, medium and low-risk populations, demographics, discharge numbers, enrollment and engagement rates by provider and region—at a significant decrease in the staff hours previously required to garner this information.

BY THE NUMBERS

reduction in staff hours
required for data collection
upstream, downstream and
internal data sources
integrated into one system
self-service analytics
engine created