Make data work for Healthcare

Transcription

1 Make data work for Healthcare Mike Broomhead CTO, Health, IBM UK & Ireland

2 Transforming for the NHS 5 Year Forward View The first argument we make in this Forward View is that the future health of millions of children, the sustainability of the NHS, and the economic prosperity of Britain all now depend on a radical upgrade in prevention and public health. Global Triple Aim: Improved Health, Improved Outcomes, Reduced Cost Population Health: the health outcomes of a group of individuals including the distribution of such outcomes within the group o Define Population o Stratify Risks o Identify Care Gaps o Manage Care o Engage Patients o Measure Outcomes

3 The data environment: complex and heterogeneous EMR ADT Claims Financial Supply Chain HIE Notes/Reports Reference/ 3 rd Party Files Medical Devices Lab ER Surgery Codes Genomics Registries Pathology Images Voice Batch, real time, streaming Files, messages, transactions Standards based (e.g., HL7), proprietary Structured, unstructured Text, images, sound Complete, incomplete Clean, dirty 90% of the world s data was generated in just the last two years 31.7% expected compound annual growth rate (CAGR) in the big data marketplace by 2016*

4 The Healthcare Industry is dealing with data overload The average person projected to generate over 1 million gigabytes of health-related data Determinants of health Exogenous 60% Volume, Variety, Velocity, Veracity Genomics 30% Volume Clinical 10% Variety 1100 Terabytes Generated per lifetime 6 TB Per lifetime 0.4 TB Per lifetime Source: "J.M. McGinnis et al., The Case for More Active Policy Attention to Health Promotion, Health Affairs 21, no. 2 (2002):

5 Understand all relevant factors to improve outcomes while optimizing resources Wellness Engage Coordination Engage, convene, collaborate and cross boundaries to deliver an integrated plan to achieve optimal outcomes and lower costs Data-driven insights Understand Know Analytics and Cognitive Computing Gain understanding through data-driven insights that enable providers to act with greater visibility into outcomes and cost Foundation Know individuals and populations; recognize intervention opportunities to apply evidence-based and standardized care planning Experiential insights 5

6 Single Patient Record with IBM Initiate IBM Enterprise Master Person Index (EMPI) Example: NHS Wales Informatics Service Resolve patient and provider identity across disparate systems Provides highest level of patient matching accuracy Eliminates duplicate patient records At scale for all of Wales 3 million people 100,000 moves & 35,000 births per year 7 Health boards (500 GPs, 16 Acute Hospitals) Selected by NHS Wales based on Closest match to requirements Best feedback from existing clients Best results from profiling exercise Off the shelf software offering best value for money Excellent open standards credentials Know 6

7 Predictive & Prescriptive -- Streaming Analytics Streaming analytic is being applied in critial care setting to provide advanced alerts of impending events. This provides the care team critical time to evaluate and prevent severe complications. Understand 7

8 Predictive & Prescriptive: Similarity Analytics Understand 8

9 Range of packaged Analytics Understand

10 Watson Care Manager, co-developed with Harrow Council Cognitive Case Notes summary Cognitive next best action advisor Cognitive Provider Selection Plus Personality Insights to better understand client Relationship Mapping Job Matching Customer service avatars Spotting fraud patterns Lease and Rental analysis Cognitive Policy Advisor Understand & Engage 10

11 Every Organization is on its own Analytics Journey Basic Reporting Foundational Analytics Predictive & Prescriptive Cognitive What happened? When and where? How much? Retrospective Reporting High latency reporting eg SLAM/SUS or QOF Limited view reports Often spreadsheet overload, poor collaboration Who is at risk? What is happening? How can we improve? What is the best Data? What actions to take? Care system wide Insights Data Governance Integrate / Share Data Structured and Unstructured Cost of Care Intelligence What will happen? How can we pre-empt? What is the likely outcome? Who would be best at managing this patient? What is the expected response to potential medications or care? Proactive Interventions and Improved Outcomes Population Health Analytics Evidence-based medicine Streaming Analytics Similarity Analytics Engaging patient experiences What is the optimal treatment based on the latest literature for my patient s clinical profile? Why is this the best protocol? Dynamic Learning for Optimal Care Guidance Natural language understanding Guided consumer experience Watson Applications Clinical Content Analysis Personalized Healthcare Understand & Engage