Data Analytics Dr. John English, CEO

How Bethesda uses Analytics Produce clinical outcomes Measure performance Make clinical decisions

Steps in Data Analytics Identify the problem and stakeholders Identify what’s needed and where it is Develop a plan for analysis and retrieval Extract / transform / load (ETL) Check, clean, prepare Analyze and interpret Visualize Disseminate new knowledge Implement the knowledge

Identify the problem Patients diagnosed with Type 2 Diabetes live life less abundantly and place an economic burden on the community Stakeholders Patients and their families Community Employees & volunteers Board members & donors

Identify what’s needed Internal data sources Patient data in EHR (MedInformatix) External data sources Kaiser Permanente Medicare/Medicaid Measurement definitions National Quality Forum HHS Measure Set Physician Consortium for Performance Improvement National Committee for Quality Assurance

Develop a plan Decide what key performance indicators to measure HBA1C BPS/BPD BMI Find comparative data for your population Set goals Use built-in automated reports when possible Implement custom reports if necessary Document how to run and use the reports

Extract / transform / load Volunteer Reports (Volgistics) EHR Reports (MedInformatix) 3rd-party product (Reporter) Extracts data from EHR (MedInformatix) Applies constraints, such as Diabetes diagnosis Exports data to Excel spreadsheet

Check, clean, prepare Review key Excel columns for missing or incorrect data, for example: Replace BMI values with BMI formula Add missing height data Delete rows with missing weight data Ask the question, “Does the data make sense?” If not, remove it. Document changes to data

Analyze and interpret Calculate key performance indicators using Excel functions Ask the question, “Do the calculated results make sense?” If not, go back to the previous step. Record results in dashboards

Visualize Color code results to indicate performance compared to goals Use charts and graphs to show trends over time

Dashboard Menu (wiki)

MEDICAL (raw data)

Medical (Charts )

Case Management (raw data)

Case Management (charts)

Volunteers (raw data)

Volunteers (charts)

Disseminate new knowledge Publish results in Dashboard Raw data Color-coded comparisons to goals Charts Inform management Management informs staff and board

Implement the knowledge Recognize goal achievement Make changes if goals not met Re-evaluate goals Set future goals Add new dashboards as needed

Thank you! Questions?