A not-for-profit operator of continuing care retirement communities (CCRCs) sought to build a scalable and efficient operating model by addressing some core challenges:
Visibility into key operational performance metrics in real-time
Optimal staff deployment with frontline managers empowered to meet quality and cost targets
Insight into current and future financial performance
Identifying factors contributing to high employee turnover, and employees at risk of attrition
Data Fabric
Tada created an interconnected network across every resident, care provider, facility, unit, service line payer, care level or acuity, and financial transaction of the CCRCs.
Performance Drivers
On this data fabric was built the real-time granular visibility into operational and financial performance drivers.
Staffing Recommendation Engine
Every staffing administrator and director of nursing was empowered with a staffing recommendation engine to effectively balance care cost with quality.
Financial Apps
Financial tools were created to forecast revenues, determine margin at patient level, and receivables collection trends to provide insight into profitability drivers.
Outcomes realized include
8 – 15% improvement in labor cost efficiency
Margin improvement at ROI of over 500%
CASE STUDY #1
Senior Care
Problem Statement
A not-for-profit operator of continuing care retirement communities (CCRCs) sought to build a scalable and efficient operating model by addressing some core challenges:
Visibility into key operational performance metrics in real-time
Optimal staff deployment with frontline managers empowered to meet quality and cost targets
Insight into current and future financial performance
Identifying factors contributing to high employee turnover, and employees at risk of attrition
Data Fabric
Tada created an interconnected network across every resident, care provider, facility, unit, service line payer, care level or acuity, and financial transaction of the CCRCs.
Performance Drivers
On this data fabric was built the real-time granular visibility into operational and financial performance drivers.
Staffing Recommendation Engine
Every staffing administrator and director of nursing was empowered with a staffing recommendation engine to effectively balance care cost with quality.
Financial Apps
Financial tools were created to forecast revenues, determine margin at patient level, and receivables collection trends to provide insight into profitability drivers.
A multi-site orthotics and prosthetics practice sought to upgrade its operating model for sustainable margin improvement:
Maximize revenue realization from physician referrals
Effectively deploy scarce marketing resources to secure physician referrals
Evaluate multiple clinics across key performance indicators
Network of information
Tada created an interconnected network across every resident, care provider, facility, unit, service line payer, care level or acuity, and financial transaction of the CCRCs.
A complete picture
Using this data fabric, a complete picture of the cycle from referrals to revenues was built. This shed light on opportunities to speed up authorizations and the administrative process to source materials for and fabricate the prosthetics.
Target Marketing
Referring physicians were segmented to target marketing towards physicians whose referral activity from the prior year had not persisted in the current year.
Revenue efficiency metrics
Clinics were benchmarked on revenue efficiency metrics to identify improvement opportunities relative to best performers.
The medical practice realized the following outcomes from the Tada implementation:
25% reduction in cycle time from referral to revenues
20% increase in referral conversion
7% “win-backs” on dropped physician referrals
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