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Big Data Management for Life Sciences & Healthcare Data Lakes

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Presentation on theme: "Big Data Management for Life Sciences & Healthcare Data Lakes"— Presentation transcript:

1 Big Data Management for Life Sciences & Healthcare Data Lakes
John Haddad Sr. Director Product & Technical Marketing

2 Discover New Therapies Increase Marketing Effectiveness
Reduce Cost of Care Discover New Therapies Increase Marketing Effectiveness Improve Patient Outcomes Reduce Development Lifecycle

3 Healthcare Transformation
Technology Trends Business Imperatives Consumer Engagement Personalized Medicine Risk Based Contracting Care Management Security Mobile Operational Efficiency Big Data New Business Models Cloud Machine Learning Fraud, Waste & Abuse Healthcare Applications Population Health EDW

4 Healthcare Transformation
Business Imperatives Technology Trends Consumer Engagement Security Personalized Medicine Care Management Mobile Risk Based Contracting Cloud Big Data Operational Efficiency Machine Learning New Business Models Healthcare Applications Fraud, Waste & Abuse Population Health EDW

5 What are some use-cases?

6 Use Case Examples Clinical Science Research
Clinical Trials Patient Recruitment and Retention Member Engagement & Retention STARS Rating Improvement Re-Admission Risk Analysis Risk Adjustment Associate Brand with Lifestyles and Outcomes

7 Clinical Science Research
Data Analysis Value EMR data Lab & Care Management data Historical clinical data ‘omic sequencing data Flow cytometry Public genetic data Murine model data HL7 Claims data Cohort analysis Analyze drug interactions Match genetic combinations Predict most effective therapies Identify use of drugs for other disease therapies Improve patient outcomes Discover new therapies Provide a central repository for clinical science research

8 Clinical Trials Patient Recruitment and Retention
Data Analysis Value EMR Social data Patient forums Support groups Advocacy groups Patient/controls demographic data Patient/control lifestyle, education, occupation Patient inquiries on web sites Detailed patient segmentation Identify patients Retain patients Competing trials Proactively match patients & trials Combine data for selective targeting Run shorter trials, with smaller samples Reduce overall cost of the trials Improve efficiency

9 Member Engagement & Retention
Data Analysis Value HL7 Data Clinical Notes and EMR Data Wellness Data Fitness Data (Fitbit) Device data ( Biometric devices) Call Detail Records External Claims Data (Pharmacy, Vision) Retail Data Relate member transactions beyond boundaries of Payer org Monitor & automate missed care management plans & drug adherence Provide a 360 degree view of Members to Care Managers Influence member/patient behavior to improve health outcomes, reduce costs and improve member experience Increase member retention rates

10 Visualization & Analytics
Landing Zone Profile Parse Cleanse Integrate Transform Match Discover Prepare Publish Catalog Data Curation Enterprise Zone Enriched Trusted Data EMR & Clinical Call Records Discovery Zone Fitness Transactions results labs medications accounts receivable patients notes Social CRM claims encounters supplies procedures diagnosis billings Flat HL7 Metadata Management PDF XLS Data Governance DOC Data Security Data Infrastructure

11 STARS Rating Improvement
Data Analysis Value HL7 Data Claims Data EMR Data Lab & Care Management Data Chart Reviews Call Center Data Records Combine members clinical & retail interactions for more complete view Monitor & automate missed care management plans & drug adherence Provide a 360 degree view of Members to Care Managers Influence member/patient behavior to improve health outcomes, reduce costs and improve member experience Increase member retention rates

12 Re-Admission Risk Analysis
Data Analysis Value ADT Data Claims Data EMR Data Lab & Care Management Data Chart Reviews Incorporate clinical data along with claims data in re-admission analytics Monitor & automate missed care management plans & drug adherence Improve accuracy of models predicting the risk of re-admission Increase the timelines of interventions Decrease re-admission related costs

13 Risk Adjustment Data Analysis Value HL7 Data (ADT, other)
Clinical Notes and EMR Data Biometric Device Data (Biometric devices) External Claims Data Automate retrospective chart reviews to capture risk factors Use NLP & machine learning to increase accuracy & efficiency Automate claims-matching to streamline encounter data submission process Discover all documented conditions Capture risk accurately Increase coder productivity Identify suspected conditions Address RADV audit risks

14 Associate Brand with Lifestyles and Outcomes
Data Analysis Value Web logs from lifestyle campaigns Social data related to lifestyles and brand Mobile health sensor monitoring data Third party de-personalized data on brand use & effectiveness SFA data on campaign success Brand cost performance for patient populations Which patient populations have highest efficacy & which are underserved Communities & topics generating positive brand perception Brand influence on customer loyalty & formularies Brand performance compared to competitors Increase market share with strong brand power Speed adoption of brand Increase lift by associating with healthy lifestyles Increase customer loyalty Increase brand recognition and activity of brand activists Increase customer engagement with brand

15 How to build a data lake

16 Exploration & Discovery Data Management & Governance
Operationalize & Monetize Laboratory Factory CAO, CTO, CFO Data scientists Statisticians Data analysts Business SMEs Data engineers CDO, CIO, CSO Data stewards Data architects Data engineers Data modelers DBAs CMO, CFO, COO Data analysts Data engineers Business SMEs Apps developers Administrators Reliability Engineers

17 The Problem with Big Data Projects
Data Modeler Data Scientist Data Analyst Data Steward Data Engineer Business Reduce Cost of Care Relational, Mainframe Visualization and Analytics Apps Improve Patient Outcomes Documents and s Takes too long to get the data Can I trust the data We have a lot of sensitive data Too many one off projects Hard to build and maintain Many compliance requirements Discover New Therapies Social Media, Web Logs Laboratory (insights) Factory (actions) Reduce Development Lifecycle Machine Device, Cloud Governance & Security Increase Marketing Effectiveness Hadoop, DW, MPP, NoSQL

18 Criteria for Successful Big Data Projects
Data Modeler Data Scientist Data Analyst Data Steward Data Engineer Business Reduce Cost of Care Relational, Mainframe Visualization and Analytics Apps Improve Patient Outcomes Documents and s Self-Service Autonomy Operational Agility Discover New Therapies Social Media, Web Logs Laboratory (insights) Factory (actions) Reduce Development Lifecycle Machine Device, Cloud Governance & Security Increase Marketing Effectiveness Hadoop, DW, MPP, NoSQL

19 Successful Projects Require Big Data Management
Data Modeler Data Scientist Data Analyst Data Steward Data Engineer Business Reduce Cost of Care Relational, Mainframe Visualization and Analytics Apps Improve Patient Outcomes Documents and s Big Data Integration Big Data Governance Big Data Security Self-Service Autonomy Operational Agility Discover New Therapies Social Media, Web Logs Laboratory (insights) Factory (actions) Reduce Development Lifecycle Machine Device, Cloud Governance & Security Increase Marketing Effectiveness Hadoop, DW, MPP, NoSQL

20 Data Lake Management Process
Data Modeler Data Scientist Data Analyst Data Steward Data Engineer Business Reduce Cost of Care Relational, Mainframe Visualization and Analytics Apps Improve Patient Outcomes Documents and s Ingest Transform Clean Master Relate Prepare Share Discover New Therapies Social Media, Web Logs Reduce Development Lifecycle Govern and Secure Machine Device, Cloud Increase Marketing Effectiveness Hadoop, DW, MPP, NoSQL

21 Storage & Processing Infrastructure
HL7 Web Logs EMR Social Data GPS Sensor Data Clinical Data Insurance Claims Databases, Data Warehouses, Hadoop, NoSQL

22 Visualization & Analytics

23 Search & Discover

24 Understand & Trust

25 Understand & Trust

26 Understand & Trust

27 Data Preparation & Collaboration

28 Data Preparation & Collaboration

29 Data Preparation & Collaboration

30 Data Preparation & Collaboration

31 Data Pipeline

32 Data Pipeline

33 Manage Data Assets

34 Ensure Trust Manage Data Quality

35 Secure & Protect Data Assets

36 Intelligent Data Applications Big Data Infrastructure
Big Data Analytics Intelligent Data Applications Reduce Cost of Care Relational, Mainframe Big Data Management Big Data Integration Big Data Governance Big Data Security Improve Patient Outcomes Documents and s Discover New Therapies Social Media, Web Logs Universal Metadata Services Reduce Development Lifecycle Machine Device, Cloud Big Data Processing Increase Marketing Effectiveness Big Data Storage Big Data Infrastructure

37 Big Data Management Reduce Cost of Care Relational, Mainframe
Data warehouse Appliances Real-time Near Real-Time Batch Database Pushdown Hadoop Big Data Management Metadata Management Data Index Data Discovery Data Pipeline Abstraction Data Blending Data Integration Transformations Data Ingestion Data Integration Hub Data Parsing Big Data Governance Master Data Management Data Retention & Lifecycle Management Data Quality Data Matching Data Profiling Data Integration Tokenization Data Security Masking Encryption Authorization & Authentication Universal Metadata Services NoSQL Intelligent Data Lake Enterprise Information Catalog Data Security Intelligence Data Visualization Advanced Analytics Predictive Analytics Machine Learning Reduce Cost of Care Relational, Mainframe Improve Patient Outcomes Documents and s Discover New Therapies Social Media, Web Logs Reduce Development Lifecycle Machine Device, Cloud Increase Marketing Effectiveness Databases On-premise Cloud

38 What are some best practices

39 Big Data Journey in Phases
Reduce Cost of Care Relational, Mainframe Escalating return on data Real-Time Operational Intelligence Manage data assets for new & better services Improve Patient Outcomes Data Discovery & Analytics Discover new insights to drive business value Documents and s Data Warehouse Optimization Lower infrastructure costs Driven by IT Driven by Business Discover New Therapies First Pilot(s) Prove out initial use-cases Social Media, Web Logs Reduce Development Lifecycle Machine Device, Cloud Increase Marketing Effectiveness Intelligent Data Lake Lower Infrastructure Cost Added Business Value

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43 Informatica Big Data Management
Analytical Applications Industry’s Only Single Integrated Platform for Big Data Management Big Data Integration Big Data Governance & Quality Big Data Security Data Warehouses, Data Lakes, NoSQL

44 Thank You Reduce Cost of Care Discover New Therapies
Increase Marketing Effectiveness Improve Patient Outcomes Reduce Development Lifecycle Thank You


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