1. Rhode Island Quality Institute
Advancing Primary Care Through Effective Use of Data
Elaine Fontaine, Director, Data Quality and Analytics

2. You Say You Want A Revolution….
ACOs
Risk Contracts
MACRA/MIPS
The Opioid Epidemic
Population Health
We are in the midst of a transformative time, but it is messy

3. Primary Care Needs Actionable Data, Leading to Insight
"The price of light is less than the cost of darkness."  - Arthur C. Nielsen
However, making decisions with limited information can be costly.
We have in front of us an enormous opportunity, and it would be imprudent to remain in the dark.

4. Defining Analytics Analytics leverage data
in a particular functional process (or application)
to enable context-specific insight that is actionable.1 
Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research  to quantify performance. Analytics often favors data visualization to communicate insight. Firms may commonly apply analytics to business data, to describe, predict, and improve business performance.2
1. Kirk, Jeremy. “'Analytics' buzzword needs careful definition.” InfoWorld. 2/7/2006. Web. Accessed 4/24/14.
2. Wikipedia. Web. Accessed 4/24/

5. Gartner’s Analytics Maturity Model

6. Primary Care Can Demonstrate Value Through Metrics
Process measures
What are the steps in the processes that support the system performing as planned?
Outcome measures
What is the intermediate or final desired result?
Balancing measures
Are changes designed to improve one part of the system causing new problems in other parts of the system?

7. Requirements for Using Data Effectively
Know Your Data
Understand Why, When and How to Aggregate
Know Your Audience
Be Transparent and Acknowledge Limitations
Keep It Simple, but Be Prepared to Provide Details
Provide Answers to The Questions
How are we making the lives of our patients better?

8. Understand Different Uses for Data in Primary Care
Intervention
Feedback
Accountability

9. Important Take Aways Do Begin with the End in Mind
Understand and Acknowledge Data Limitations
Keep Your Analysis as Simple as Possible, but Not Simpler
Provide Clear, Understandable Visualizations
Don’t
Let Perfection Be the Enemy of the Good
Confuse Data for Improvement with Data for Accountability