For CHITAs: Data Quality Process Overview Kyle Knierim, MD Assistant Professor Maggie Dunham, MSW HIT Program Manager.

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Presentation 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 Uses a. 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 Benchmarks a. 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 XXX CPT Codes by Visit --O Date of Birth XXX Diagnostic Codes by Visit -XX Ethnicity O-O HDL-C X-O Height X-O LDL XXX Medications XXX Patient Linking number XXX Problem List XXX Race X-O Self Management Plan X-- Smoking Cessation Tx Plan XXX Smoking Status XXX Total Cholesterol X-O Visit Date (months of look back) 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 Checks  Review initial plan  What 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