We are a nonprofit organization (established 2013) supporting data-driven decision making in the public behavioral and mental health system. We are dedicated to the development and implementation of evidence-based systems that empower the entire system to provide the highest quality of care.
CDR primarily implements what are known as “TCOM” systems. This term was first established in the academic literature as Total Clinical Outcomes Management, but has recently gone re-branding as “Transformational Collaborative Outcomes Management”. A TCOM system is large multi-entity system that uses one universal assessment, that creates data that can be used at multiple levels. To learn more about TCOM, please visit this web page. TCOM is a model for implementing value based purchasing programs that include both real clinical improvement, and real economic efficiency.
CDR helps develop TCOM systems in various ways, including:
- Decision support algorithm design
- Entire-system data visualizations
- Developing a database of norms
- Software solutions
- Our proprietary online DataPool(TM) application
- Project management
- Report development
- Scoring TCOM tools
- Analyzing TCOM data
CDR was the winner of the Robert Wood Johnson Foundation’s Voices of Quality Video Contest – 2014.
CDR was a finalist for the UpPrize Social Innovation Challenge – 2017
Community Data Roundtable (CDR) is a nonprofit organization dedicated to the development of data-driven behavioral health and child welfare systems. With our proprietary CANS/ANSA/FAST software (The DataPool™), and advanced analytic and implementation science, we work with payers, purchasers, providers and parents to build an optimal system for patient care.
Our key services include the development of decision support algorithms and the implementation of outcomes monitoring systems that improve clinical outcomes for children and youth with serious emotional disturbance and ASD who are involved in the community behavioral health system. We are currently working on a multi-county (23) outcomes project in the state of Pennsylvania.
Our Decision Support Algorithms for the identification and referral of consumers to evidence-based practices are made available for free to human services and mental health providers for the betterment of the whole system.
A world where the system of care accounts for each individual’s unique needs and ensures efficiency for the system at large.
- Data-Driven Decision Making
- Evidence-Based Care
- Individualized Care
- Economic & Clinical Efficiency