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OCBIG - MassDept of Health GeoSpacial with Cognos

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Geo-spacial with Cognos - presentation for OCBIG

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OCBIG - MassDept of Health GeoSpacial with Cognos

  1. 1. Creative Computing MASSACHUSETTS DEPARTMENT OF HEALTH BUREAU OF ENVIRONMENTAL HEALTH
  2. 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/#
  3. 3. 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
  4. 4. 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
  5. 5. Navigation – Heart Attack
  6. 6. Navigation - Content
  7. 7. Selection
  8. 8. Map – ESRI and GEOCALI
  9. 9. Table
  10. 10. Metadata
  11. 11. 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
  12. 12. 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
  13. 13. 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”.
  14. 14. Client Examples
  15. 15. 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
  16. 16. 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
  17. 17. 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
  18. 18. 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
  19. 19. Identify and Score
  20. 20. Discharge intervention options
  21. 21. Healthcare Reporting
  22. 22. 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
  23. 23. 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
  24. 24. 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
  25. 25. Understand your Past Predict your Future Act Now We are at the crossroads

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