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Using Data to Improve Your Outcomes. CSI-RI Best Practice Sharing Conference Friday January 21, 2011 Hillside Family Medicine Chris Campanile, MD Jessica Spellun, Quality Assistant. OPTIONS: You Can…. Not Collect Data Collect Data and Do Nothing With It Collect Data and Discuss It - PowerPoint PPT Presentation
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CSI-RI Best Practice Sharing ConferenceFriday January 21, 2011Hillside Family Medicine
Chris Campanile, MDJessica Spellun, Quality Assistant
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
Organizational StructureDesignate a core Quality Team
Physician ChampionAdministrator/Practice ManagerData/Quality AssistantNCMIT
Regular Meeting Times Quality TeamProvidersAll Staff
Formation of a Core Improvement Teamto Review Data and Oversee Process Changes
Evidence Based
Data That Drives
Improved Outcomes
1. Decision Support
2. Physician Prompts/Alert
s
3. Patient Engagement
4. Data Flow and
Documentation
5. Reporting
6. Analyzing/Shari
ng/Acting
Evidence Based
Data That Drives
Improved Outcomes
1. Decision Support
2. Physician Prompts/Alert
s
3. Patient Engagement
4. Data Flow and
Documentation
5. Reporting
6. Analyzing/Shari
ng/Acting
Evidence Based
Data That Drives
Improved Outcomes
1. Decision Support
2. Physician Prompts/Alert
s
3. Patient Engagement
4. Data Flow and
Documentation
5. Reporting
6. Analyzing/Shari
ng/Acting
Evidence Based
Data That Drives
Improved Outcomes
1. Decision Support
2. Physician Prompts/Alert
s
3. Patient Engagement
4. Data Flow and
Documentation
5. Reporting
6. Analyzing/Shari
ng/Acting
Evidence Based
Data That Drives
Improved Outcomes
1. Decision Support
2. Physician Prompts/Alert
s
3. Patient Engagement
4. Data Flow and
Documentation
5. Reporting
6. Analyzing/Shari
ng/Acting
Evidence Based
Data That Drives
Improved Outcomes
1. Decision Support
2. Physician Prompts/Alert
s
3. Patient Engagement
4. Data Flow and
Documentation
5. Reporting
6. Analyzing/Shari
ng/Acting
Example: Mammography ScreeningPrevention Measures
Monthly Report Data Guide for
Report Due: 10/17/2009
Prevention Measure Numerator Denominator
Mammography
Number in denominator who received one or more screening mammograms 10/11/07 through 10/10/09
Number of active women patients appearing in the EHR on 10/10/09 who are between the ages of 52 and 69
Colorectal Cancer Screening
Number in the denominator who received any of the following:
FOBT 10/11/08 through 10/10/09 Colonoscopy 10/11/99 through
10/10/09 Flex Sig 10/11/04 through
10/10/09
Number of active patients appearing in the EHR on 10/10/09 who are between the ages of 51-80
Influenza Immunization
Number in denominator who received one or more influenza immunizations in current or most recent flu season: 9/1/09 through 10/10/09
Number of active patients appearing in the EHR on 10/10/09 who are age 65 or older (born on or before 10/10/1944)
Pneumococcal Immunization
Number in denominator who received at least one pneumococcal immunization in their lifetime
Number of active patients appearing in the EHR on 10/10/09 who are aged 65 or older (born on or before 10/10/1944)
So You Have Data, Is It the Truth?
Are we really only getting 40% of women 52-69 to get mammograms?
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?
Evidence Based
Data That Drives
Improved Outcomes
1. Decision Support
2. Physician Prompts/Alert
s
3. Patient Engagement
4. Data Flow and
Documentation
5. Reporting
6. Analyzing/Shari
ng/Acting
Example: Mammography ScreeningPatient Name
Evidence Based
Data That Drives
Improved Outcomes
1. Decision Support
2. Physician Prompts/Alert
s
3. Patient Engagement
4. Data Flow and
Documentation
5. Reporting
6. Analyzing/Shari
ng/Acting
Data Flow and Documentation:Paper Results
Results Received by Office
Provider Reviews
and Places in Quality
Box
Quality Team Enters
Data Into Reportabl
e Field
Testing Complete
d by Pt
Data Flow and Documentation:Interface Results
Results Received Through Interface
Provider Reviews Results
Results Auto-
Populate Reportable Data Field
Testing Complete
d by Pt
Reportable Data Fields
The Fruits of Our Labor
Template prompting and a refined data capture process led to 24% improvement!
Being Able to Show Physician Identified Data
Tackling the Plateau Phenomenon
Coordinating More Timely Referrals
Better Utilization of the Clinical Team
Patient Outreach and Education