Myths, good Bets, and Realities: Breaking the Health Digital Deadlock through Big Data and AI

Transcription

1 Myths, good Bets, and Realities: Breaking the Health Digital Deadlock through Big Data and AI Silvia Piai, IDC HIMSS Impact 2017 IDC

2 Are Healthcare Systems Stupid? In a lifetime, an average human will generate (in TB): 1, Exogenous data Genomic data Clinical data 80% of the world's healthcare data is unstructured 73 the number of days it will take for medical knowledge to double by 2020 Source: "The Relative Contribution of Multiple Determinants to Health Outcomes," 2014 "Challenges and Opportunities Facing Medical Education" 2

3 Complexity Further Increases When We Look at the Questions Healthcare Systems Need to Answer Globally, people develop multi-drug resistant TB each year Seven leading risk factors account for almost 60% of all ill health The number of people reporting unmet need for health care in the EU had risen to 18 million Growing impact of noncommunicable diseases on healthcare services demand: 77% of the disease burden Need to act on a complex ecosystem of determinants *WHO data for the European region 3

4 Why Value Based Healthcare Matters? Value Based Healthcare paradigm changes the healthcare business model shifting the focus on performance, quality and experience Identify and assemble relevant data Measure outcomes and Pay for Value Coordinate care and Target Interventions Target Population & Objectives

5 Healthcare Digital Transformation: Transforming Decision Making with Technology A new level of understanding and use health data across the health value chain IDC 5

6 A Big Data and AI Augmented Scenario for Decision Making and Information Delivery Big Data Top 3 Use Cases Clinical Decision Support / Evidence-based Medicine Integration of clinical pathways Population risk Stratification Artificial Intelligence Top 3 Use Cases Optimization of resources and turnover Patient engagement Compliance and reporting on quality of care Source IDC Western European Vertical Survey November 2017 Healthcare respondents: 204 IDC 6

7 Addressing Key Issues, Delivering Value Hospital Big Data and machine learning systems designed to forecast admission rates Shared care platform for supports a cross sector The Shared Care Platform collaboration between GP, the municipality and the hospital Public Health: mapping antibiotics overprescription and poor treatment adherence to address antibiotic resistance IDC 7

8 Big Data and AI are Pivotal in the Value Based Transformation, but Adoption in Europe is Uneven By 2021, 20% of WW Healthcare and 40% of Life Science Organizations Will Have Achieved 15 20% Productivity Gains Through the Adoption of Cognitive/AI Technology IDC FutureScape 2018 Artificial Intelligence Big Data 7% Adopted 7% 30% Investing 7% Source IDC Western European Vertical Survey November 2017 Healthcare respondents: 204 IDC 8

9 Organizations are Facing Several Challenges IDC 9

10 Look twice Before Leaping Forward Job/Role Impact Decision Making Privacy/ Security Reputation IDC Visit us at IDC.com and follow us on 10

11 What are we Getting Wrong? IDC 11

12 Let s have a Step Back Big Data and Analytics Services and Workflows DATA CREATION PRODUCERS DATA ACQUISITION ARCHITECTS / ENGINEERS INFO PROCESSING ANALYSTS / SCIENTISTS BUSINESS PROCESS END USERS Machine and Sensors Transaction and Usage Logs and Messaging Geolocation Mobile Apps Data Relationships and Social Influence VOLUME VELOCITY VARIETY Shared Nothing Scale-out Storage + SSD MPP + In-Memory Compute Non-relational DWH Cloud Converged Infrastructure Hadoop Hi-Speed / - Resiliency Networking Deep Insights Real-time Events Data Exploration Contextualized Data Modeling / Scenarios Forecasting Stream Processing Event Management ON-DEMAND PUSH EMBEDDED Access-Anywhere Analytics Services Context-Aware Business Applications Location-Based Services Workflow and Interaction Automation Alert and Respond Smart devices and systems VALUE SYSTEMS INTEGRATION OBJECTIVES DELIVERY MODELS IDC Visit us at IDC.com and follow us on 12

13 The Unavoidable Case for a New Healthcare Information Management Framework Business Strategy Defining strategic outcomes in the converged scenario, defining stakeholder roles in the achievement of strategic goals including their incentives (or misincentives) in pursuing the strategy Information Governance and Process Defining and implementing an information management approach regulating: information ownership (e.g., patient consent management) information quality assurance information access and use knowledge management and collaboration Enterprise Information Architecture Decoupling data and applications by establishing specifications for: Data models and formats, entities and attributes, interoperoperabilty, and integration Technology: user interfaces, application, infrastructures IDC Visit us at IDC.com and follow us on 13

14 Which Organization for Healthcare Strategic Objectives? Top Business priorities for Western European Healthcare Providers Big Data are still perceived as «special projects» within specific departments IT-Line of business dicotomy Aligning the organization is essential 69% SECURITY: Strengthening detection and resilience capabilities 63% PERFORMANCE: Increasing productivity/efficiency, improving quality 63% REGULATIONS: Managing regulatory compliance 41% PATIENTS: Improving patient experience Source IDC Western European Vertical Survey November 2017 Healthcare respondents:

15 Information Governance and Architecture : Ensuring data liquidity and security Addressing the fragmentation Data format and organization Focusing on heath information lifecycle Creation Separating data and applications Agile data management Disposal Sharing & Access Improved user experience Data liquidity Archival, Recovery & Retrieval Analysis 15

16 Those Who Thrive Will be the Organizations That Strategy People Data Tech Process Elevate data management to a strategic level Multidisciplinary teams: data stewards, data scientists, experts for interpretation Incorporate new data sources and ensure quality Define new architectural standards Reengineer business processes and maintain a close-loop learning environment IDC Visit us at IDC.com and follow us on 16

17 Thank you! Questions? Silvia Piai Sr Research Manager IDC EMEA IDC 17