1. © Copyright IBM Corporation 2008 Health Analytics: An Overview HealthTech Net November 20, 2008 Richard Singerman, Ph.D.

2. © Copyright IBM Corporation 2008 IBM Healthcare and Life Sciences 2 Providers remain data rich, information poor…” Challenges Volume and complexity of data Integrating massive volumes of disparate data Need for sophisticated analytics Growing collaboration across ecosystem

3. © Copyright IBM Corporation 2008 IBM Healthcare and Life Sciences 3 CLINICAL Informatics RESEARCH Informatics ADMINISTRATIVE Informatics Results, Medications VS, Ht/Wt, Allergies DC Summaries Clinical Doc Proteomics, SNPs, Publications Clinical Trials PubMEd ADT, Demographics Provider, Scheduling Diagnosis, CPT, AR, Billing, Claims Health Analytics Clinical Quality, Translational Research, Community Health and Reporting Elevated by Informatics Strategy Leveraging Clinical, Research and Administrative Domains Additional Areas:  Research Admin  Education/career path tracking  Extramural relations

4. © Copyright IBM Corporation 2008 IBM Healthcare and Life Sciences 4 Enterprise Value Creation Care Delivery – Innovation – Differentiation - Access Translating Research Bench to Bedside/Battlefield What new things can I discover? How can I conduct the most advanced molecular-based clinical research? How can I translate research to the patient? Can I advance my research and increase grants and publications by relating clinical and genomic information? Clinicians How can I provide safer & more effective care? Can I be financially rewarded for better performance? How do I stay informed of on going best practices? How can I provide predictive and evidence-based care? What more can I learn about my patients? Management How can I enhance my organization’s care delivering effectiveness? How can I improve my organization’s outcome and financial performance? How can we improve the health of populations? Can we predict population-based events? Board How do we create strategic advantage? What’s our overall performance? Our quality performance? How can we improve the health of our community? What’s our patient safety record? What investments should we make? How much?

5. © Copyright IBM Corporation 2008 IBM Healthcare and Life Sciences 5 Current strategies for reporting, analyzing and trending quality and cost data can provide valuable data but … OR System Micro Results Hematology Chemistry Results Peri Op Documentation OR Med Admin Time ED Admit Time ED DC Time Medication Name Dispense Order MRN Name ICD 9/10 ED System Pharmacy System Registration System Lab System Hard Copy Medical Records

6. © Copyright IBM Corporation 2008 IBM Healthcare and Life Sciences 6 Aggregate and Integrate Data Integrated Information Infrastructure Generate and Acquire Data Clinical systems Rev Cycle Billing/Reg Clinical Ancillary ImagingORERP Optimize Infrastructure Provide Access Physicians & Clinicians Administrators & Executives PatientResearchers Medication Safety Monitoring Chronic Disease Management Real-time Claims Adjudication Consumer On Line Payments and Scheduling Quality Compliance Reporting Electronic Claims Attachments Medication Safety Monitoring Chronic Disease Management Real-time Claims Adjudication Consumer On Line Payments and Scheduling Quality Compliance Reporting Electronic Claims Attachments Medication Safety Dashboard Chronic Disease Management Practice Performance Dashboard Pt Throughput Management Dashboard Quality Compliance Workbench Organizational KPI Dashboard Transform Data to Information Infrastructure and IT Processes QUALITY IMPROVEMENTOPERATIONS EFFICIENCY Clinical and Business Transactional Systems Transforming information requires a unified, simplified and streamlined data architecture

7. © Copyright IBM Corporation 2008 IBM Healthcare and Life Sciences 7 Innovators leading the way...

8. © Copyright IBM Corporation 2008 IBM Healthcare and Life Sciences 8 IBM/Mayo Clinic Clinical Genomics Collaboration Example of a real-time query  Find all patients with: - Coronary artery disease (a form of heart disease) - Diabetes Mellitus (“diabetes”) - Nonalcoholic steatohepatitis (a form of liver disease) - Who had a breast biopsy at Mayo (a procedure) - In ZIP code 55901, 55902, 55903, 55904 (local region) - Between 45 and 65 years of age (certain age) - Diabetes Mellitus (Diagnosis Codes, Medical Index & Clinical Notes) - Serum Glucose > 150 mg/dL (Results) - Microarray data exist (Storage & Retrieval)  cRNA labeling efficiency > 90% (Analysis) - Who are female (female gender) - And are alive (vital status) Before After 6 Seconds 6 Weeks