This session will provide you with background on how to use analytics in three ways within the healthcare setting: community and market based, clinical and financial. You will understand how viewing the information at various levels will help you address challenges related to revenue identification, identify cross selling opportunities, mitigate risk, avoid penalty, benchmark and guide the management of the consumer outside of acute care settings.

1. J. Tod Fetherling
Transforming Information
into Wisdom to Drive
Continuous Engagement

2. Don’t you wish you
could do all the right things,
every single time?
We all do!

3. The Promise of Analytics

4. Hold for Video

5. Why Ask the Right Questions?
• Government Regulations
• Increasing Consumerism
• Thin Margins
• New Payment Models
• Increasing Risk
• Managing Virtual Populations

6. The Answer to the Right Questions:
Analytics Progression
• Descriptive
• Predictive
• Prescriptive
Asking the Right Questions = Gain Understanding and Wisdom

7. Analytics to Action
1. Ideas
2. Algorithms
3. A/B Testing
4. Execution
5. Real-Time
In-Line
Improvement
6. Adjust Strategy
SELECT empi_id, "Age",
date_of_birth, address1,
address2, city, state,
postal_code, death_ind,
"GENDER", "RELIGION",
"ETHNIC_GROUP",
"RACE", "NATIONALITY",
"LANGUAGE",
marital_status_code,
count(*) FROM birt.users
GROUP By empi_id, "Age",
date_of_birth, address1,
address2, city, state,
postal_code, death_ind,
"GENDER", "RELIGION",
"ETHNIC_GROUP",
"RACE", "NATIONALITY",
"LANGUAGE",
marital_status_code

8. Analytics Adoption Model
1. Global View – Learning Mechanism
2. Corporate View
3. Division
4. Market View (Middle TN, Region)
5. Community View (Nashville Metro)
6. CCE (ACO, CIN, PHO)
7. Facility View (Hospital, Clinic, Physician)
8. Household View (My Family)
9. Patient/Consumer View (Me)
Global
Corporate
Division
Market
Community
CCE
Facility
Home

9. Analytics Adoption Model
• Global – Learning Environment (the engine of innovation)
• Corporate
• Divisions
• Market
• Community
• Clinical Care Organizations (CIN, PHO, ACO, BP)
• Facility
• Household
• Individual Consumer

10. Analytics Model
• Learning Model/Leverages Massive Data
• Detailed Algorithms to Model Care
• Visualize Care Networks
• Creating Value In-Stream
• Attributes
• Spatial
• Support Triple Aim of Healthcare
• Access
• Quality
• Cost
Improve
Health
Better
Care
TRIPLE
AIM
Lower
Costs

11. Detailed Clinical Snapshots/Trending

12. Market Map

13. Community Care Network Flow

14. How to compete in a schizophrenic market
1. Know your Market/Environment
2. Drive Volume / Constrain Volume
a. Drive the Right Volume
3. Reduce Risk / Grow Risk
4. Create Models to Expose Organizational Learning
5. Execute, Execute, Execute

15. Questions?
Follow @YourCareU