big data analytics- innovations at the edge · • time constraints vs extensive search scope •...
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© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
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