Insights as a Service. Balaji R. Krishnapuram Distinguished Engineer, Director of Analytics, IBM Watson Health
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1 Insights as a Service Balaji R. Krishnapuram Distinguished Engineer, Director of Analytics, IBM Watson Health
2 Data & Knowledge Explosion: New data about individuals, used in new ways helps determines health status 60% Exogenous Factors 1100 Terabytes Generated per lifetime 30% Genomics Factors 10% Clinical Factors 6 Terabytes Per lifetime 0.4 Terabytes Per lifetime 2 IBM Watson Health // SOURCE: 2015 J.M. McGinnis et al., The Case for More Active Policy Attention to Health Promotion, Health Affairs 21, no. 2 (2002):78 93
3 Longitudinal Patient Records yield Real World Evidence (RWE) for individuals and populations Pre-Clinical Evidence-generated data horizon Chronic Care 3
4 We describe an Insights as a Service that can help addresses multiple clinical, scientific & economic needs. Identify unmet medical need Establish product value Individualize & help clinicians improve care delivery to patients Communicate and collaborate amongst ecosystem stakeholders using trusted evidence 4
5 Analytics is maturing from research & consulting to industrialized processes Artisanal / Consulting Practitioners Customized projects Not repeatable Industrialized/Repeatable Professional Division of labor Automated / Tools Processes Standards Integrated Pipelines/Platforms Researchers Custom math & algorithms Early commercialization 50s-90s now 5
6 End-to-End Role-Based Workflow Integration improves productivity 10x-100x CFO: Why did we lose money on the MSSP contract last year? How do we break even this year? CMO: How do we reduce abnormally high rate of hospitalization among our diabetic population? Patient Data Care Manager: Who are the top 100 patients I need to focus on? Have all the evidence based best practice been completed for my patients? How do we best close care gaps? Care Team ACO director: Define goals: cohorts & outcomes Develop process improvement programs Plan staffing & coverage 6 Analyst: Identify key drivers of cost, utilization, Predict which patients are at highest risk for hospitalization over next 3 mo Deploy results to care managers/ clinicians in their EMR/Care Mgmt s/w MD/ RN: What is the full set of tasks to be completed for patients scheduled today? Should I change the dose of Metformin for Mr Jones today? Is my muscle pain due to Metformin should I stop taking the pill? Should we change my dose due to the high blood glucose reading last time? Can you help me stay healthy without needing to come in to the PCP all the time?
7 Connectors to Systems of Record Marketplace Integrated Health & Life Sciences Insights-as-a-Service Platform Analytics Dev-as-a-Service Analytics Runtime-as-a-Service Insights-as-a-Service EMR Repositories Patient data Develop Predictive/Descrip tive Analytics Pipeline Deploy Instrument/Measure & Experiment Data-as-a-Service Long Tem Storage (HDFS, Hbase, Cloudant..) Connectors to Systems of Engagement 7
8 Capabilities & Solutions Healthcare Financial Advisor Care Management Diabetes HTN COPD Self Management Platform Real World Evidence 360 data warehouse Risk Prediction Care Orchestration Self Management System Design Insights as a Service Health Cloud Foundational Services 8
9 Illustrative Use Case: Transitioning from Volume to Value Clinical Billing Drivers of Cost & Utilization Claims Financial Aggregation + Analytics 50 M Lives Personalized Risk Prediction Self Service Analytics Operational Others
10 Generation of Real World Evidence 4 The data exhaust from the Explorys health care network is then available to help identify trends, predict outcomes, accelerate drug development, influence therapy choices, and improve patient care. RWE Each patient is represented once within the dataset 3 Explorys harmonizes the disparate patient data from across the continuum of care and generates insights that can help providers meet value-based care metrics. 2 A Health Data Gateway (HDG) connects to provider source systems and pulls in clinical, financial, and operational data into a secure, private cloud 1 When a patient visits a healthcare facility, her clinical data are captured in an electronic medical record (EMR) 10
11 The Insights as a Service Platform creates evidence from data Engines Layer Data Curation Engine Risk & Prediction Engine Search Engine Patient Matching Engine Measure and Gap Engine Patient Engagement Engine Data Governance Engine Registry & Work-List Engine Report & Analytics Engine Acquisition & Storage Layer Explorys HDG Health Data Gateway ~ 2,000 live connectors Ambulatory EHRs Inpatient EHRs Laboratory Pharmacy Health Plans Billing & Accounting Data Warehouses HIE / HL7 Patient Portal Satisfaction Surveys Care Mgmt. Systems 11
12 Find Key Drivers 12
13 Build Predictive Models 13
14 Explore Further 14
15 Analyze Utilization 15
16 Deploy to model to care managers 16
17 Data Insight Solutions Solutions Ecosystem Home Health Agencies Individual Education Population Health Management Population Health Management Practitioners Governments Condition Specific Care Condition Specific Care Hospitals Therapists Public Health Medical Devices and Diagnostics Health and Wellness Health and Wellness Health Plans Bio-Pharma Social Programs Social Programs Family Payers Social Programs Employers Discovery Solutions Real World Evidence Discovery Solutions Real World Evidence 17
18 Discovery Solutions Real World Evidence Population Health Management Condition Specific Care Health and Wellness Social Programs Accelerate research and improve treatments options Uncover health interventions to inform care approaches Identify care gaps and help clinicians deliver timely, coordinated care Apply best care protocols to help manage chronic conditions Empower individuals to live healthier, more productive lives Help ensure that care approaches address individuals' social context Insights as a service delivered by Watson Health platform Patient cohorts Disease progression Patient-trial Matching Adverse events Drug efficacy Comparative effectiveness Provider segmentation Population Analytics Risk Factors Site Selection Off-label use Pricing models Marketing effectiveness Sales deployment Data and Knowledge Ingested by Watson health Platform Payments & Claims Lab & diag. Clinical Exogenous data Med device Genomic... Published texts Scientific journals Medical guidelines Terminology & taxonomy... 18
19 IBM Watson Health Watson Health is working to enhance, scale and accelerate expertise across the domains of health and wellness, and to facilitate collaboration across the communities of care. IBM Watson Health // 2015 International Business Machines Corporation #Watson Health 19
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