Big Data in Healthcare

Transcription

1 Big Data in Healthcare อ.ดน ยร ฐ ธนบด ธรรมจาร Line ID: Danairat FB: Danairat Thanabodithammachari June

2 Agenda Introduction to Big Data Big Data Architecture for Healthcare Connected Health แนวทางประชาร ฐ ก บ Healthcare Big Data Internet of Things in Healthcare Big Data Project Life Cycle Summary 2

3 Big Data Introduction Volume ZB XB PB TB GB Variety DB Table Delimited Text XML, HTML Free Form Text Image, Music, VDO, Binary Batch Near real time Real time Velocity 3

4 Big Data Architecture for Healthcare Big Data Applications BI/Report EHR, EMR Doctor Decision System Remote Patient Mgmt. Cyber Security Monitoring, Resource Management and Metadata Framework Big Data Platform Descriptive/ Diagnose Analytics Predictive Analytics Parallel Data Processing, Refinery Distributed Data Store, Data Lake Ingestion and Acquisition Prescriptive Analytics Security and Control Framework Big Data Infrastructure Compute Storage, Network 5

5 Descriptive/Diagnostic analytics Descriptive/Diagnostic analytics answers the question, "What happened in the business?" It looks at data and information to describe the current business situation in a way that trends, patterns and exceptions become apparent. This takes the form of reports, dashboards, MIS, etc. mu-sigma.com 6

6 Predictive analytics Predictive analytics answers the question, "What is likely to happen in the future?" Here data modeling and forecasting are used to determine future possibilities mu-sigma.com 7

7 Prescriptive analytics Prescriptive analytics is the combination of the above to provide answers to the "So what?" and the "Now what?" For example, what should a business do to retain key customers? How can businesses improve their supply chain to enhance service levels while reducing costs? Action! mu-sigma.com 8

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9 Internet of Things in Healthcare Olivier Hersent 10

10 11 3. Public/Private Hospital executes Health Program integrated EHR/EMR Systems 4. Health Tracking Health check up records 1. Blood Pressure Sleep Tracking 4. Health Tracking Health check up records 1. Blood Pressure Heart rate Tracking 4. Health Tracking Health check up records Government Officer 2. Government creates/revises National Health Program Cloud Suggested Health Improvement (Secured Personal Access) Big Data Doctor Nurse Officer 1. Blood Pressure Coach Tracking Integrated Medical Device แนวทางประชาร ฐ ก บ Healthcare Big Data Integrated Medical Device Integrated Medical Device Integrated Medical Device Integrated Medical Device

11 Healthcare User Cases Management of Outbreak with Early Detection 12

12 โรงพยาบาล และคล น ก แบ งป นข อม ล รวดเร วและปลอดภ ย (Secure Speed Data Sharing) ข อม ลส ขภาพ และการร กษา อ ปกรณ ด านส ขภาพ ประชาชนแข งแรง แนะน าออก ก าล งกาย และ การพ กผ อน การเล อกซ อยา ร านขายยา Connected Health 13

13 Building a Big Data Project 14

14 Big Data Project Life Cycle Big Data Planning Big Data Development Operation and Support Evaluation Identify Targeted Users Identify Target Opportunities / Key Measurements Identify Data Sources/Types Identify Data Capturing Approaches Identify Data Processing and Visualization Planning Identify Big Data Platform Identify Security Identify Governance and Change Control for Operation Develop Use Cases Develop Requirements Definition Develop Big Data Solution Framework Develop the Development and Test Environment Develop Data Capture Develop Analytics Integrate Visualization Manage Assets and Configurations Monitor Big Data Platform Availability, Utilization and Capacity Planning Manage Operation Tasks (Admin. Scripts, Commands), Data Capturing System, Upgrading or Patching Manage Service Requests and Incidents System admin. Training Helpdesk Training End-User Training (Analytic Results) Adoption Rates for each analytics results No. of Missing Analytic Results No. of Missing Data Lost hours per month Avg. of each Analytic Result Response Time No. of Technology System Failure per month Evaluate Activity Conformance with Policies Identify Team Structure Identify Phasing, Budget and Cost 15

15 Healthcare Analytics Adoption Model Level 8 Level 7 Level 6 Level 5 Level 4 Level 3 Level 2 Personalized Medicine & Prescriptive Analytics Clinical Risk Intervention & Predictive Analytics Population Health Management & Suggestive Analytics Waste & Care Variability Reduction Automated External Reporting Automated Internal Reporting Standardized Vocabulary & Patient Registries Tailoring patient care based on population outcomes and genetic data. Fee-for-quality rewards health maintenance. Organizational processes for intervention are supported with predictive risk models. Fee-for-quality includes fixed per capita payment. Tailoring patient care based upon population metrics. Feefor-quality includes bundled per case payment. Reducing variability in care processes. Focusing on internal optimization and waste reduction. Efficient, consistent production of reports & adaptability to changing requirements. Efficient, consistent production of reports & widespread availability in the organization. Relating and organizing the core data content. Level 1 Enterprise Data Warehouse Collecting and integrating the core data content. Level 0 Fragmented Point Solutions Inefficient, inconsistent versions of the truth. Cumbersome internal and external reporting.

16 Digital Transformation Reference Model Vision, Mission Statements Why CMO Business Services & Business Objectives New Services Sustainability Efficiency Innovation Optimized Services CEO COO Retired Services Digital Organization CFO When Who Business Process as a Service More Flexible More Control Digital Initiatives New Customers, Channels Business Process Optimization/Outsourcing Enterprise Metamorphosis How Data Monetization IoT, Smart Devices Smart Workforce Big Data Digital Platform Cloud Digital Security What 17

17 Thank you very much. 18