Creative Computing MASSACHUSETTS DEPARTMENT OF HEALTH

BUREAU OF ENVIRONMENTAL HEALTH

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/#

Health Outcome Type of Statistic Available Geographic Area For Which the Data are Available

Asthma

•Hospitalization Prevalence and countsBy 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 ToolStandardized 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, countsBy community, county, EOHHS region*, EP Regional Coalitions* and, statewide

Childhood Blood Lead Information Number and percent of children screenedBy census tract, community, county, EOHHS region*, EP Regional Coalitions* and, statewide

Heart Attack Crude and age-adjusted incidence rates, countsBy community, county, EOHHS region*, EP Regional Coalitions* and, statewide

Heat Stress Crude and age-adjusted incidence rates, countsBy community, county, EOHHS region*, EP Regional Coalitions* and, statewide

Pediatric Diabetes Prevalence and counts By school, community, county, and statewide

Reproductive Outcomes

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

Navigation – Heart Attack

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Table

Metadata

About CreativeNew 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

Why Healthcare Clients work with Creative ComputingOur 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

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”.

Client Examples

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

ReportsStructured

Data

What Happened

What’s Likely to Happen

Value of

Information

How to Make it Happen

Business

Optimization

& Planning

Analysis

IM BI PM AA

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

Pro

vid

er

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

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

Identify and Score

Discharge intervention options

Healthcare Reporting

HealthcareReducing 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

Customer CareOne 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

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

Understand your Past Predict your Future

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