IND-1418 Medical Device Transformation: How to be Relevant and Bring Value to Healthcare Session Type : Breakout Session Date/Time : Wed, 24-Feb, 01:15 PM-02:00 PM Venue : Mandalay Bay SOUTH Room : South Seas C Presenter – Elizabeth Koumpan, IBM [email protected]
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2016 IBM Interconnect - medical devices transformation
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IND-1418Medical Device Transformation: How to be Relevant and Bring Value to Healthcare
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Ineffectiveness and inefficiency are driving evolution of the HealthCare environment.
The Current Global Health Care Faces Serious Challenges…
Global Health Care Outlook Common Goals, Competing Priorities. Rep. Deloitte, 2015. Web. 16 June 2015. Roeder, Amy. Reducing Wasteful Health Care Spending Begs the Question, What Is Waste? Harvard, T.H. Chan School of Public Health. Harvard, T.H. Chan School of Public Health. 2015 Global Health Care Outlook Common Goals, Competing Priorities. Rep. Deloitte, 2015. Web. 16 June 2015.
• $7.8T healthcare spend (up to 18% GDP)
• Healthcare spend growing at 2.5X the economy (US)
• Over 1TB of healthcare data per patient
• New clinical insights exceed clinician availability
•Evolving FDA requirements for remote patient monitoring solutions
•18-25% of population have a chronic disease, consuming 80+% of healthcare spend
•20-25+% of major healthcare markets over 65
• Growth of accountable care models
• Increasing Patient-Centered Medical Home initiatives
Economic and Societal ForcesHealthcare based drivers
Increased Competition andRegulations More regulations and compliance
requirements
Technology enabled new competition
Demographics and Lifestyle Expectations for better quality, value
and outcomes
Aging population and escalating incidence of chronic disease
Resource Shortages Shortage of right skills, capabilities
and supplies
Shortage of consumer and provider based services
Technology driven forces
Connected and Open Proliferation of mobile devices and
internet access
Fosters collaboration within the ecosystem
Fast and Scalable Anticipate unknown requirements
and quickly address them
Reduced cost of innovation
Simple and Intelligent Reduced and masked complexity
Analytics and insights to drive decision-making
HEALTHCARETRANSFORMATION
Organizations must embrace disruptive
technologies to drive innovation
SocialMobile
AnalyticsCloud
3-D PrintingNanotech
The global market for
Wearable Medical Devices is
projected to reach US$4.5
billion by 2020, driven by the
growing need for effective
management of chronic
diseases, rising healthcare
awareness, and launch of
innovative health management
devices
Wearable Applications in Healthcare Span Clinical and
Operational Areas
Source: Market Research http://www.strategyr.com/MarketResearch/Wearable_Medical_Devices_Market_Trends.asp#sthash.kF3HKQxq.dpuf4
Technology is the most Important External Force that will
Affect the Enterprise
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“Healthcare is becoming a more customer-driven
business and younger consumers are being influenced
by other industries, so self-service is key.
These consumers wear FitBits and use their mobile
devices to access data for do-it-yourself diagnoses.
They ‘want it now’ and they’re moving away from making
appointments to on-demand medical care.”
CFO, Healthcare Provider, US
We need technology that provides better visibility into vast amount of data, linking to the patient and securely shared across the enterprise ecosystems.
Data from Medical Devices is a Disconnected Component
of the Health Care Model
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Medical Device Companies can Deliver the Compelling Experiences Consumers Demand
• Better Devices with Better Insights – better value for Health care
• Moving from a Product Company to Service Augmented Product Company
• Servicing Multiple Ecosystem Customers Demands a Platform Approach
“I am taking responsibility for My Health”patient centric
Collect device dataPresent data (alerts, readings)Augment (additional devices, logs, journals, surveys)Aggregate (device data repository)
“We are Coordinating Patient Care”provider centric
Present data (alerts, readings)Augment (patient data from various sources)Report
“We are Managing Patient Costs” payer centric
Population ManagementRisk StratificationService UtilizationComparative Effectiveness Research
“We are Innovating/Leading”Med device business unit centric
Trend analyticsCompetitive insightsCustomer satisfactionProduct Life cycle management
“We are collaborating to Improve Standards of Care”ACO ( accountable care organization) model centric
Sharing InsightsIntelligence as a ServicesEcosystem participation
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Device Data which is not Linked to a Patient – are Useless
The use of device data by an information system varies,
presenting problems for users and information exchange.
The device data handling system, which includes the
devices, device intermediaries if any, record systems and
viewing systems must handle clinically important data
and provide access to potentially terabytes of high-
resolution monitored patient data, including multiple
waveform streams over an extended period.
The device data which are not linked to a patient are
useless, and device data linked to the wrong patient are
dangerous.
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The Healthcare industry is Building an Ecosystem with the
Patient and Consumer at their Core
Note: For the Healthcare industry, the term “consumer” may imply: individual, member, patient, carer or customer
AdherencePersonalized medicine
Workplace safetyEmployee wellness
Community health
Digital hospitalTransitional care
Home careAncillary care
Population analytics
Member wellnessPreventative care
Medical devices have an opportunity to
address the needs by moving from a
product company to service augmented
product company
New Service and Solution Capabilities will be Required to
Deliver Connected Care Solutions
Cloud-enabled Ecosystem
Operating Models
Monitoring &
data collection
Insight-based
Engagement
Analytics
Tra
nsitio
n to
h
igh
er
va
lue
Legacy Internal
Operational Capabilities
Diagnostic Product Enhancement
•Technology/procedure-centric (‘niche’)
•Traditional customers, declining growth
•Traditional capex business model
•Efficient services
Disease Management Solutions
• Patient/disease-centric
• New customers, double-digit growth
• Outcome-based business model
• Solution-centric operations
Provider Coordinated Care Solutions
• Shift to services
• Traditional customers, single-digit growth
• Monetized services
• Hybrid product/service operations
Advanced Clinical Decision Support
Preventative Support
Operational Consulting
Chronic Disease Management
Clinical Consulting
Integrated patient monitoring
Aging in Place
Transformative Healthcare Engages the Ecosystem…
Community healthPopulation analytics
Member wellness
Preventative care
Digital hospital
Transitional care
Home care
Ancillary care
Adherence
Personalizedmedicine
Workplace safety
Employee wellness
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Medical Devices can deliver Innovative Healthcare
Solutions across Ecosystems
The industry is at an inflection point: we now can address the most difficult problems and
turn insight into action due to advances in data availability, analytics, and connectivity.
Big Data enables the aggregation of a wide variety of information, everything from
individual genetics and personal health records to environmental conditions and studies of
large populations over long periods of time.
Analytics tools, including cognitive systems such as Watson, make it possible to
understand all factors affecting health much more deeply, so all participants across the
continuum of care, including the patients, can make better decisions.
Cloud computing makes it easier for all parties to share and access information.
And a new generation of mobile devices–including fitness trackers and other home
monitoring devices– enables people to gather data about themselves and connect with
health advisors and physicians anywhere, anytime.
The industry needs an open platform--with an agnostic host-- who can convene players
from across all stakeholders: physicians, researchers, insurers and companies focused on
health and wellness solutions
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Medical Devices are Essential Components of Ecosystems
Clinical
data
data
Genomics
data
data
Exogenous
data
Medical
Literature
Guidelines
Institutional
Knowledge
• Patient monitoring
• Alarm data
• Point-of-care devices
• In-home patient monitoring
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Establishing a connected service delivery platform that turns aggregated data into insight and actions enables med tech companies, providers and patients to transform healthcare
An IoT Connected Care Platform serves as the Foundation
for Transformative Healthcare Solutions
Vital Monitoring
WearablesDiagnostic Imaging
Systems
Analytics, Insights
(Intelligence)
Care Coordination, Patient Engagement
(Integration)
Foundation
(Instrumentation/Interconnection)
Secu
rity 360°Holistic Patient
View
Advanced Clinical
Decision Support
Coordinated Care
Longitudinal
Patient Record
Predictive Device
Management
Tele-healthDigital Specialist
Aging in Place Chronic Disease Management
Digital Hospital
Post-Acute Transitional Care
Outcome-
based,
patient-centric
healthcare
Exploding
patient data
Chronic
disease
epidemic
Care resource
shortage
New markets for
existing product
categories
New monetized
services with
existing clients
Seamless
patient
experience
Efficient service
delivery for
existing
products
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Deliver Secure Edge-to-Cloud Solutions
Sensor Data History
Sensors
In-memory Analytics
Predictive Analytics
Publish / Subscribe
Cloud Infrastructure
Real-time Analytics
Real-time Analytics
OperationalAnalytics
Big Data Analytics
(no gateway)
Big Data Platform
Big Data Analytics
Smart Gateways for local analytics
TimeSeries Service
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Connected HealthCare Platform Transforms Operational Capabilities to Deliver Solutions, not Technologies
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We need a solid foundation to remove information barriers, automatically capture data and seamlessly integrate it with analytical insights into healthcare processes to enable smarter decisions
Big Data Analytics Requires Integrated Capabilities that Scale
Trusted Relevant Governed
Analyze
Integrate
Manage
External Information
Sources
Cubes
Streams
Hadoop
Master Data
Unstructured Content
Structured Data
StreamingInformation
Quality
Security &Privacy
Lifecycle
Enterprise Data
Warehouse
Standards
Clinical and Transactional
Business Applications
Content & Predictive Analytics
Information Governance
ODS
Data Model
Clinical and Business Analytics
Applications
• Drug database• Public health• Claims data• Social media
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