1. CSI-RI Best Practice Sharing Conference Friday January 21, 2011 Hillside Family Medicine Chris Campanile, MD Jessica Spellun, Quality Assistant

2. OPTIONS: You Can…. Not Collect Data Collect Data and Do Nothing With It Collect Data and Discuss It Collect Data, Discuss It, and Act on It

3. You Can’t Improve What You Don’t Measure

4. Organizational Structure Designate a core Quality Team Physician Champion Administrator/Practice Manager Data/Quality Assistant NCM IT Regular Meeting Times Quality Team Providers All Staff

5. Formation of a Core Improvement Team to Review Data and Oversee Process Changes

6. Evidence Based Data That Drives Improved Outcomes 1. Decision Support 2. Physician Prompts/Alerts 3. Patient Engagement 4. Data Flow and Documentation 5. Reporting 6. Analyzing/Sharing/ Acting

7. Evidence Based Data That Drives Improved Outcomes 1. Decision Support 2. Physician Prompts/Alerts 3. Patient Engagement 4. Data Flow and Documentation 5. Reporting 6. Analyzing/Sharing /Acting

8. Evidence Based Data That Drives Improved Outcomes 1. Decision Support 2. Physician Prompts/Alerts 3. Patient Engagement 4. Data Flow and Documentation 5. Reporting 6. Analyzing/Sharing /Acting

9. Evidence Based Data That Drives Improved Outcomes 1. Decision Support 2. Physician Prompts/Alerts 3. Patient Engagement 4. Data Flow and Documentation 5. Reporting 6. Analyzing/Sharing /Acting

10. Evidence Based Data That Drives Improved Outcomes 1. Decision Support 2. Physician Prompts/Alerts 3. Patient Engagement 4. Data Flow and Documentation 5. Reporting 6. Analyzing/Sharing /Acting

11. Evidence Based Data That Drives Improved Outcomes 1. Decision Support 2. Physician Prompts/Alerts 3. Patient Engagement 4. Data Flow and Documentation 5. Reporting 6. Analyzing/Sharing/ Acting

12. Evidence Based Data That Drives Improved Outcomes 1. Decision Support 2. Physician Prompts/Alerts 3. Patient Engagement 4. Data Flow and Documentation 5. Reporting 6. Analyzing/Sharing /Acting

13. Example: Mammography Screening

14. So You Have Data, Is It the Truth? Are we really only getting 40% of women 52-69 to get mammograms?

15. Tracking Data Trends Highlights Areas that Need Improvement How can we begin to improve our trends? Do we have an appropriate procedure for capturing data? Are mammograms being ordered regularly by the physician? Do patients understand the importance of a mammogram?

16. Evidence Based Data That Drives Improved Outcomes 1. Decision Support 2. Physician Prompts/Alerts 3. Patient Engagement 4. Data Flow and Documentation 5. Reporting 6. Analyzing/Sharing /Acting

17. Example: Mammography Screening Patient Name

18. Evidence Based Data That Drives Improved Outcomes 1. Decision Support 2. Physician Prompts/Alerts 3. Patient Engagement 4. Data Flow and Documentation 5. Reporting 6. Analyzing/Sharing /Acting

19. Data Flow and Documentation: Paper Results Results Received by Office Provider Reviews and Places in Quality Box Quality Team Enters Data Into Reportable Field Testing Completed by Pt

20. Data Flow and Documentation: Interface Results Results Received Through Interface Provider Reviews Results Results Auto- Populate Reportable Data Field Testing Completed by Pt

21. Reportable Data Fields

22. The Fruits of Our Labor Template prompting and a refined data capture process led to 24% improvement!

23. Being Able to Show Physician Identified Data

24. Tackling the Plateau Phenomenon Coordinating More Timely Referrals Better Utilization of the Clinical Team Patient Outreach and Education