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Big Data Analytics-Innovations at the Edge Brian Reed – Chief Technologist Healthcare

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Four Dimensions of Big Data

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The changing Big Data landscape

Human Information Machine Data

Business Data

10% of Information

90% of Information

Annual Growth ~100%

~10%

3

© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 4

Time

Volu

me

of d

ata

Data

Technology gap

Human data

Machine data

Business data

Big Data shift

Mobile apps

System logs

Data centers

Compliance archives

Internet of Things

Sensors

Social networking

Photo sharing

Wearable devices

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•  Video conferences •  Downloads •  Call notes •  SMS •  Web chat •  Blogs •  Social networks •  Mobile apps •  Sensors •  Survey response •  Emails

•  Revenue management •  Claims •  EMRs •  ICD 9-10 •  Meaningful use •  Lab/radiology notes •  P4P reporting •  Quality reporting •  Clinical quality measures •  Transcription •  Population health mgmt

Billions of daily interactions

Millions of daily

transactions

Enterprise information that comes from line of business systems that provide structured database

information that is used to run the business

Global information that comes from internal and external unstructured sources that is used to gain insight on the business drivers &

Big Data for Healthcare

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Use Cases

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Challenge: Analytics requires a Platform Approach

Data Type • Structured Tables • Semi-Structured • Unstructured • Documents •  Images • Audio • Video

Speed • Batch •  Interactive • Real-time

Process • Acquisition • Preparation • Visualization • Analysis • Presentation • Collaboration

Skill Set • Business Users • Programmer • Database Expert • Statistician • Mathematician • Subject Matter

Expert

Types • Descriptive • Diagnostic • Predictive • Prescriptive

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Government

The Universe of Healthcare Analytics Use Cases –Where to Begin?

Provider Provincial

Health Plans Life Sciences

Population Health Payment Integrity

Longitudinal Analytics in Epidemiology

Generics

Patient Safety

Care Coordination

Evidence Based Protocols

Genomics

Adverse Drug Event Reporting

Compliance

Voice of Customer

Reporting

Cost Reduction

Customer Satisfaction

Provider Search

Accelerated Drug Development

Voice of Customer

Patients-Support Education

Pricing Strategy

Benefit Integrity

Adoption considerations Demonstrable

ROI "Evidence" for clinical change

Workflow modifications

Availability of input data

Sponsor for change

Legislative drivers

Privacy issues/worries

Personalized Medicine Syndromic surveillance

Risk Adjustment

Clinical Decision Support Resource utilization

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Research for U.S. News and World Report ranking study

•  Challenges:

•  Quality and clinical effectiveness research on ~115K patients, ~390K encounters, ~3M documents

•  Diverse data types (structured and unstructured) across data silos involved •  Time constraints vs extensive search scope

•  Solution: HP Healthcare Analytics

•  Cross patient search for cohort identification •  Intuitive UI for intuitive construction of increasingly complicated query filters •  Easy clinical note review with textual highlights, intra/inter record navigation, and

related concepts •  Portable queries and results •  Real-time querying, fast indexing

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Navigation of diverse unstructured clinical documentation

•  Challenges:

•  Near to real-time provider records access required to drive clinical data-driven decisions •  Over 140M patient records (dated back to 1980’s) collected on different systems scattered

across silos •  Current DB repository with requirement for expansion to Word and PDF formats

•  Solution: HP IDOL

•  Clinician’s next gen information discovery based upon conceptual searches •  Cover patient problems, procedures, medications, allergies, health maintenance topics &

encounter notes •  Provides a single unified physician portal interface to quickly locate individual records •  Custom analytics application built on extensible IDOL platform to uncover patterns and

concepts

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Public Health

•  Convergence – data and technology •  SMAC −  Social: participant generated data, real-time feedback −  Mobile: mobile apps for tracking and real-time feedback −  Analytics: dashboard for personalized and population analytics −  Cloud: leverage Haven-As-A-Service

•  Interactive −  Engaging −  Gaming

Clinical knowledge

Electronic health

records

Devices and sensors

Soci

al m

edia

Real-Time Convergence

Slice and Dice Discover

Analytics

Awareness

Real Time Health System

http://media.hp.com/mp.aspx?key=USPS&eid=PPLLLRLKGJ

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Estimation of the number of wearable health-related devices - ranging from heart monitors to biosensors – that will be sold annually by 2016

100 million

Source: ABI research 2014

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Healthcare wearables and Big Data: the perfect match

Big Data

Knowledge DB

Citizens w/ wearables

Empowered patients

Researchers & experts