1. Data Analytics
Dr. John English, CEO

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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

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

11. Dashboard Menu (wiki)

12. MEDICAL (raw data)

13. Medical (Charts )

14. Case Management (raw data)

15. Case Management (charts)

16. Volunteers (raw data)

17. Volunteers (charts)

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

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

20. Thank you!
Questions?