Geo-spacial with Cognos - presentation for OCBIG

1. Creative Computing
MASSACHUSETTS DEPARTMENT OF HEALTH
BUREAU OF ENVIRONMENTAL HEALTH

2. Public Initiative
In partnership with the Center for Disease Control, the Massachusetts
Department of Health required a public website to provide and report
on health and environmental data for the community.
The information provided will assist members of the community and is
intended to be the source of health and environmental information for:
• Public Health Researchers
• Clinical Researchers
• Policy makers
https://matracking.ehs.state.ma.us/#

4. Health Outcome Type of Statistic Available Geographic Area For Which the Data are Available
Asthma
•Hospitalization Prevalence and counts
By community, county, EOHHS region*, EP
Regional Coalitions* and, statewide
•Pediatric Prevalence Prevalence and counts By school, community, county, and statewide
Birth Defects Prevalence and counts By county and statewide
Cancer
•Cancer Mapping Tool
Standardized Incidence Ratio (SIR) for selected types of
cancer
By census tract, community, county, EOHHS
regions*, and EP Regional Coalitions*
•Cancer NCDM Nationally Consistent Data and Measures (NCDMs) By county and statewide
Carbon Monoxide Poisoning Crude and age-adjusted incidence rates, counts
By community, county, EOHHS region*, EP
Regional Coalitions* and, statewide
Childhood Blood Lead Information Number and percent of children screened
By census tract, community, county, EOHHS
region*, EP Regional Coalitions* and,
statewide
Heart Attack Crude and age-adjusted incidence rates, counts
By community, county, EOHHS region*, EP
Regional Coalitions* and, statewide
Heat Stress Crude and age-adjusted incidence rates, counts
By community, county, EOHHS region*, EP
Regional Coalitions* and, statewide
Pediatric Diabetes Prevalence and counts By school, community, county, and statewide
Reproductive Outcomes

5. Health Outcome Type of Statistic Available Geographic Area For Which the Data are Available
•Fertility Annual total fertility rate By community, county, and statewide
•Low birthweight and very low
birthweight births
Annual percentage By community, county, and statewide
•Infant, neonatal, perinatal,
postneonatal mortality
Annual rate By community, county, and statewide
•Premature Births (Preterm and
very preterm births)
Annual percentage By community, county, and statewide
•Sex ratio Annual sex ratio at birth By community, county, and statewide

6. Navigation – Heart Attack

7. Navigation - Content

8. Selection

9. Map – ESRI and GEOCALI

10. Table

11. Metadata

12. About Creative
New England, Great Lakes and Canada
24 years delivering value to our customers
IBM Premier Business Partner: Certified to sell, train and deliver
Four Practice Focus Areas
Healthcare – Payers and Providers, Regulators, Agencies and Life Science
Higher Education
Retail
Manufacturing
Four Capabilities Focus
Information Management
Business Intelligence
Performance Management
Analytics and Prediction – Modelling and solution capabilities

13. Why Healthcare Clients
work with Creative Computing
Our 20 years experience supporting the largest providers and payers clients
Deep experience in Healthcare across the “Analytics” stack (IM, BI, PM, AA)
 Real historical and current experience in the full IBM Analytics story
Deep experience core Healthcare systems of record and systems of engagement
 Admissions, Clinical, Dispensary, Discharge, Finance, Operations and Facilities, Health Management
 Member, Plan, Employer, Claim, Fraud, Call Center, Marketing, Pricing
 Epic, Medisys, Health Management System, Medhost, Peoplesoft, ORAFin, PointClick, Athna, Winward,
Salesforce, ADP, Ceridian
Deep experience current issues in Healthcare
 25% of our revenue comes from customers in healthcare
 IBM looks to us in pre-sales, service and support
Our solutions and assets
 Our solution Asset Patient re-Admit List (PAL) – certified IBM solution

14. How we help clients in
Healthcare
By helping our Healthcare clients with
 Admissions and Discharge management
 Clinical and diagnostic work load and throughput
 Improving patient outcomes
 Claims processing, fraud and audit review
 Security and regulatory compliance (HIPPA, OHIP, state and federal)
 Staff succession planning and capabilities forecasting
 Financial planning and management of discrete resources
We support Healthcare clients in these areas with
 Identifying the key drivers of better patient, institutional and financial outcomes
 Gathering and grooming the data to support these insights
 Preparing and presenting the insights to key members of the administrative and clinical systems
 Enabling our clients with capabilities to maintain ongoing and develop new drivers, data and insights to
continually monitor and improve outcomes
We have been helping Healthcare clients with the “big questions and challenges” and providing
“big answers” since before there was the idea of “big data”.

15. Client Examples

16. Big Data – less effort
Budgeting &
Forecasting
Ad Hoc Reports,
OLAP &
Dashboards
Descriptive &
Predictive
Modeling
Why Did It Happen
Data Information Knowledge Insight Action
Raw Data
Standard
Reports
Structured
Data
What Happened
What’s Likely to Happen
Value of
Information
How to Make it Happen
Business
Optimization
& Planning
Analysis
IM BI PM AA

17. Healthcare Predictive
Predicting Fraudulent Activity in Healthcare Claims
Predictive Hospital Operations & Resource
Needs
Predicting Optimal
Plans or treatments
to Improve Patient
Outcomes
Improving Patient
Satisfaction with
Predictive Analytics
Predictive Disease Management
Payer
Provider

18. Prove Points
Analytics Maturity
Correlate
•Reinforce
Assumptions
•High Call volume or
dis-sat scores =
Employer Churn
•High Claims types =
Employers churn
•Employers with bad
claims experience
may churn
ID Predictors
•What are the prime
predictors of Employer
Churn
Score
•Highest likelihood to
churn Employers
•Rank the current
enrolled to see where
there are likely
candidates who are up
for renewal
Outcome
•What are the
interventions,
process, outreach
that will alter churn
outcomes
•Baseline and A/B
testing with
intervention over no
change to process
Monitor
•Monitor the
interventions
•Monitor the
outcomes
•Monitor in light of
changes to volume or
other macro
experience
•Tune the model as
environmental
changes occur
Demo or POC
applicable
POC
applicable
Prototype
applicable

19. PAL Solution Overview
Hospitals face increasing
costs/penalties due to patient
readmission
Wanted the ability to understand
cause for Readmission and
effectively distribute information
Was using Cognos BI for their
historical reporting, but wasn’t
able to determine ‘true’ indicators
for patient readmissions
Using SPSS, built a model that
predicts likelihood of patient
readmission within 30 days of
being released.
Determine what are the key
drivers to patient readmission
Effectively score individual
patients and classify each as
‘Low’, ‘Medium’, and ‘high’ risk.
Implemented BI dashboard and
report to distribute information

21. Identify and Score

22. Discharge intervention options

23. Healthcare Reporting

24. Healthcare
Reducing Patient Readmits
Need
• To find the reasons for patient readmit and
develop programs to focus on these areas
Benefits
• Improved patient outcomes
• Better use of capacity
• More precise application of resources, technology
and procedures

25. Customer Care
One in context of many
Need
• Understand the correlation of Handling time and
satisfaction with member and employer plan churn
Benefits
• Customer delight
• Intervention and outreach programs
• Meeting and exceeding expectations
• Stronger renewal and life analytics base

26. Outreach
Member and Employer
Need
• Design the right interventions and outreach
programs to meet those members and employers
who need additional care
Suggestions
• Education to employers for members
• Education for marketing and sales
• Education for customer care teams
Benefits
• Customer delight
• Retention
• Proactive approach improves care and financial
outcomes

27. Understand your Past Predict your Future
Act Now
We are at the crossroads