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Healthcare and Life Sciences organizations are leveraging Big Data technology to capture data in order to get a better insight into patient centric and research centric information. Combining these two requires extreme computing power. We will discuss use cases where Big Data technology was instrumental ; Merging Genomic and Clinical Data in order to advance personalized Medicine
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Big Data Webinar Series
Big Data Webinar Series
Customer Intimacy & Develop New BusinessMarch 11, 2014
Operational ExcellenceMarch 18, 2014
March 25, 2014
April 1, 2014
April 3, 2014
Big Data in Public Services
Big Data in Healthcare & Life Sciences
Big Data in Human Resources
Big Data ApplicationsNew Data
Structured Semi
Not structured
SocialMedia Mobile
Sensor data
Analytics becomes 1-on-1 & Real-Time
Enables a huge number of ‘new’ or improved
Big Data Applications
Open Data
Analytics becomes 1-on-1 & Real-Time
Business domains
Operational Excellence
Customer Intimacy
New BusinessRisk
Management
RetailBanking/securitiesHealthcare Life SciMedia & entertainmentGovernment UtilitiesInsuranceManufacturingTelecomTransportServices
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…
Source: Gartner
Big Data ApplicationsOperational Excellence
Customer Intimacy
New Business Risk Management
GenericPredictive asset
maintenance
Scenario testing
Targeted Advertising
Customer entity resolution
Sentiment analysis
Information-based products & services
Crowdsourcing
Cybersecurity
Fraud detection
Auditing for compliance
RetailDynamic pricing
Dynamic forecasting
Market basket analysis
Shopping cart defection
Real-time store management
Fuzzy matching
Recommendations
Mall experience gamification
Loyalty management
Counter-dynamic pricing
Sell retail data upstream
Real-time offers
Multichannel location analysis
Customer-centric merchandising
HealthcareIntegrated patient data
Assisted diagnosis
Adaptive treatment planning
Patient flow management
Self evaluation
Remote patient monitoring
Hotspotting
Fraud (ring) detection
Life SciencesClinical trials
Translation medicine
Virtual humans
Global listening capabilities Personalized medication
Adaptive treatment planning
Self monitoring
Drug & medical device safety
Clinical trial fraud
Quantified Self
Genome Research
Genome Research
Healthcare & Life Sciences Collaboration
Healthcare & Life Sciences Collaboration
Source: Mount Sinai Icahn School of Medicine
US Health Care Provider
• 1,2 Million Patients• 15 Hospitals• 185 Day Clinics• 70 Retail Pharmacies• 30.000 Employees• 6.000 Nurses• 1.500 Physicians
Benchmark clinical performance against national standards
• Treatment costs• Re-admission rate• Length of stay
Big Data Concept
HealthCare Data Hub
HealthCare Analytics
Scheduling
Radiology Home DevicesGenomicsTranscriptionsMedications …
Lab Data PharmacySurveys PACS
EMR
Billing
Data Flow Concepts
AnalyzeAcquire Organize Decide
OLTP Data
RDBMS ETL DWH BI
AnalyzeAcquire Organize Decide
New Data
OLTP Data
Data Flow Concepts
RDBMS ETL DWH BI
Use Case Drives the Data Flows
AnalyzeAcquire Organize Decide
OLTP Data
RDBMS ETL DWH BI
New Data
AnalyzeAcquire Organize Decide
New Data
OLTP Data
RDBMS ETL
Use Case Drives the Data Flows
Big Data Reference Architecture
PACS
DATA SOURCES
Legacy EMR
Financial
RTLS
Device Integration
Clinical Trials
Radiology
Social Media
Medication
Laboratory
Bio Repository
Home Devices
Genomics
Quantified Self
Pharmacy POS
Transcriptions
Security
Hadoop C
luster
Operations
Linear Scale Compute & HDFS Storage
Multitenant Processing: YARN
Script
Pig
SQL
HiveImpala
Online
HBaseAccumulo
OthersReal-Time
Storm
In-Memory
Spark
Batch
MapReduce
GovernanceTag, Filter &
Process
Metadata Management
Ingest
Sqoop
DATA REPOSITORIES
EDW
EDW EDW
EDWEDW
Surgical Data Mart
Diagnosis Data Mart
Quality Data Mart
Clinical Info Data MartNeo4j
APPLICATIONS• Cohort discovery• Predicting read mission• Detection of sepsis pathways• Analyzing test variances• Rapid bedside response
• Tracking patient wait times• Home health monitoring• Chronic disease management• Patient scorecards
Big Data Journey
BusinessDefines mandate and
requirements
ITAcquires and
integrates data
Data ScientistsBuild and refine analytic models
ITPublishes new Insights
BusinessConsumes insights
and measures effectiveness
Cronos Big Data Services Offering
Use Case Discovery Workshop
Big DataAnalytics
Implementation Services
Proof ofConcepts
The role of the Data Scientist
Business Strategy Analyst
Hadoop System
Administrator
Hadoop Developer
Data Architect Data Analyst/Statistician
Identify Business Pains &
demonstrate through
Analytical skills how the
available data can be exploited
on a Strategic Level
Hadoop Cluster installation &
administration.Data Loading
Build the relevant
dataset by cleansing, filtering,
grouping and aggregating
the data using parallel
processing languages like MapReduce
Hive, Pig, Impala, Spark,
…
ETL tooling, MDM, Data Cleaning & Matching
Integration with Enterprise
ArchitectureData
Governance & Security
Through statistical Analysis,
conceptual and predictive data
modeling, machine learning,…
Discover patterns, trends, insights.
Translate these to Business
Opportunities
Cronos Big Data ReferencesUse Case Discovery Workshop
Proof OfConcept
Implementation Services
Big Data Analytics
Call Center
Healthcare
Utility
Editor
Telco
ISV
Media
Transport
Manufacturing & Distribution
Online Gaming
Clever usage of datato make better decisions
Conclusions
Contact: [email protected]`+32 496 57 66 27