for chitas: data quality process overview kyle knierim, md assistant professor maggie dunham, msw...

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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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Page 1: For CHITAs: Data Quality Process Overview Kyle Knierim, MD Assistant Professor Maggie Dunham, MSW HIT Program Manager

For CHITAs:

Data Quality Process Overview

Kyle Knierim, MD Assistant Professor

Maggie Dunham, MSW HIT Program Manager

Page 2: 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

Page 3: For CHITAs: Data Quality Process Overview Kyle Knierim, MD Assistant Professor Maggie Dunham, MSW HIT Program Manager

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

Page 4: For CHITAs: Data Quality Process Overview Kyle Knierim, MD Assistant Professor Maggie Dunham, MSW HIT Program Manager

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?

Page 5: For CHITAs: Data Quality Process Overview Kyle Knierim, MD Assistant Professor Maggie Dunham, MSW HIT Program Manager

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?

Page 6: For CHITAs: Data Quality Process Overview Kyle Knierim, MD Assistant Professor Maggie Dunham, MSW HIT Program Manager

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

Page 7: For CHITAs: Data Quality Process Overview Kyle Knierim, MD Assistant Professor Maggie Dunham, MSW HIT Program Manager

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

Page 8: For CHITAs: Data Quality Process Overview Kyle Knierim, MD Assistant Professor Maggie Dunham, MSW HIT Program Manager

4. Measure Progress & Adjust Goals

a. Compare progress to benchmarks

b. Alter plans as needed

c. Celebrate successes!

Page 9: For CHITAs: Data Quality Process Overview Kyle Knierim, MD Assistant Professor Maggie Dunham, MSW HIT Program Manager

5. Formal Data Quality ChecksReview initial planWhat can help monitor and improve

data quality?

Processes

Technology

Page 10: For CHITAs: Data Quality Process Overview Kyle Knierim, MD Assistant Professor Maggie Dunham, MSW HIT Program Manager

6. Develop Sustainability Plan ENSW support ends – What next?

Develop health data habits What can you use?

Feedback

Monitoring

Practice accountability