big data in healthcare & life sciences

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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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Page 1: Big data in Healthcare & Life Sciences
Page 2: Big data in Healthcare & Life Sciences

Big Data Webinar Series

Page 3: Big data in Healthcare & Life Sciences

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

Page 4: Big data in Healthcare & Life Sciences

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

Page 5: Big data in Healthcare & Life Sciences

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

Page 6: Big data in Healthcare & Life Sciences

Quantified Self

Page 7: Big data in Healthcare & Life Sciences

Genome Research

Page 8: Big data in Healthcare & Life Sciences

Genome Research

Page 9: Big data in Healthcare & Life Sciences

Healthcare & Life Sciences Collaboration

Page 10: Big data in Healthcare & Life Sciences

Healthcare & Life Sciences Collaboration

Source: Mount Sinai Icahn School of Medicine

Page 11: Big data in Healthcare & Life Sciences

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

Page 12: Big data in Healthcare & Life Sciences

Big Data Concept

HealthCare Data Hub

HealthCare Analytics

Scheduling

Radiology Home DevicesGenomicsTranscriptionsMedications …

Lab Data PharmacySurveys PACS

EMR

Billing

Page 13: Big data in Healthcare & Life Sciences

Data Flow Concepts

AnalyzeAcquire Organize Decide

OLTP Data

RDBMS ETL DWH BI

Page 14: Big data in Healthcare & Life Sciences

AnalyzeAcquire Organize Decide

New Data

OLTP Data

Data Flow Concepts

RDBMS ETL DWH BI

Page 15: Big data in Healthcare & Life Sciences

Use Case Drives the Data Flows

AnalyzeAcquire Organize Decide

OLTP Data

RDBMS ETL DWH BI

New Data

Page 16: Big data in Healthcare & Life Sciences

AnalyzeAcquire Organize Decide

New Data

OLTP Data

RDBMS ETL

Use Case Drives the Data Flows

Page 17: Big data in Healthcare & Life Sciences

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

Page 18: Big data in Healthcare & Life Sciences

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

Page 19: Big data in Healthcare & Life Sciences

Cronos Big Data Services Offering

Use Case Discovery Workshop

Big DataAnalytics

Implementation Services

Proof ofConcepts

Page 20: Big data in Healthcare & Life Sciences

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

Page 21: Big data in Healthcare & Life Sciences

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

Page 22: Big data in Healthcare & Life Sciences

Clever usage of datato make better decisions

Conclusions

Page 23: Big data in Healthcare & Life Sciences

Contact: [email protected]`+32 496 57 66 27

Page 24: Big data in Healthcare & Life Sciences