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Published byPhyllis Simpson Modified over 9 years ago
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For CHITAs: Data Quality Process Overview Kyle Knierim, MD Assistant Professor Maggie Dunham, MSW HIT Program Manager
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Purpose: Healthy Data Habits Ensure data is inputted and extracted from EHR accurately Accurately reflect that care is delivered Identify gaps and opportunities
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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
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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?
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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?
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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) 36+24+24-60 Weight X-O
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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
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4. Measure Progress & Adjust Goals a. Compare progress to benchmarks b. Alter plans as needed c. Celebrate successes!
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5. Formal Data Quality Checks Review initial plan What can help monitor and improve data quality? Processes Technology
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6. Develop Sustainability Plan ENSW support ends – What next? Develop health data habits What can you use? Feedback Monitoring Practice accountability
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