for chitas: data quality process overview kyle knierim, md assistant professor maggie dunham, msw...
TRANSCRIPT
For CHITAs:
Data Quality Process Overview
Kyle Knierim, MD Assistant Professor
Maggie Dunham, MSW HIT Program Manager
Purpose: Healthy Data Habits
Ensure data is inputted and extracted from EHR accurately
Accurately reflect that care is
delivered
Identify gaps and opportunities
What to Do?1. Identify and document data uses
2. Establish data quality benchmarks
3. Create Data Quality Improvement Plan
4. Measure progress & adjust goals
5. Maintain formal checks on data quality
6. Develop Sustainability Plan
1. Identify and Document Data Usesa. Build working relationship with practice team
Who is your point of contact?
b. Data Uses – Identify and document How are practices already using data to measure
patient outcomes?
c. Systems and Inputs – Which data is internal vs. external? (i.e. vitals v. labs)
d. Impact – What is the overall effect on the practice?
e. Prioritize – What are the important/easiest gaps to fill?
2. Establish Data Benchmarksa. Determine data elements to target
Where are the data points coming from?
b. Retrieve relevant data How will you get the data out? What other impacts
c. Compare data Where are the deltas?
d. Determine quality issues How to validate the data? What issues may arise?
e. Establish base line of data Did you coordinate with the practice’s PF?
Data Element ASCVD Clinical Care
ENSW CQM Reports from
EHR
Direct Data Extraction to
DARTNet A1C X - O BP Diastolic/Systolic X X X CPT Codes by Visit - - O Date of Birth X X X Diagnostic Codes by Visit - X X
Ethnicity O - O
HDL-C X - O
Height X - O
LDL X X X
Medications X X X
Patient Linking number X X X
Problem List X X X
Race X - O
Self Management Plan X - -
Smoking Cessation Tx Plan X X X
Smoking Status X X X
Total Cholesterol X - O
Visit Date (months of look back) 36+ 24+ 24-60
Weight X - O
3. Create Data Quality Improvement Plan
NOTE: Completion of data quality improvement plan is trigger for CHITA payment
a. Identify goals for data quality improvement Map to ENSW data priorities
b. Institute team check-ins for tracking feedback Over communicate Loop in practice facilitator
c. Be sure to include QI team
d. Establish measures of success
4. Measure Progress & Adjust Goals
a. Compare progress to benchmarks
b. Alter plans as needed
c. Celebrate successes!
5. Formal Data Quality ChecksReview initial planWhat can help monitor and improve
data quality?
Processes
Technology
6. Develop Sustainability Plan ENSW support ends – What next?
Develop health data habits What can you use?
Feedback
Monitoring
Practice accountability