impact of exponential technology on health care. change of...
TRANSCRIPT
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Impact of exponential technology on health care. Change of mindset is needed?
Paul Epping Philips Healthcare Transformation Services
October 24, 2014
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Economic realities are driving significant changes in Healthcare
Clinical and economic outcomes are driving the ‘consumerization’ of healthcare
Move from treating illness to maintaining wellness shifts focus to avoidance of injuries, complications and readmissions
Connecting everyone unlocks value in the rich, but highly disconnected islands of information
Readily available comprehensive data, largely collected by the patient, creates a viable source for prediction, risk stratification and diagnosis
fast instantly
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Let’s start with the conclusions
• Hospitals will be smaller – Diagnostic and treatment ‘satellites’ connected electronically to hospitals – Self-diagnosis with more precision (sensors, artificial intelligence) – Physician will focus on severe cases and surgery – Ubiquitous IT will be the driver for change(s)
• Social networks, IoT and big data analytics are the foundation for deriving health patterns
• Patients want be in the driver seat • Technological advances are essential to keep healthcare affordable
• Shift from disease care to health care
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Continuous care
Transformation of healthcare
Professional healthcare delivery
Continuous personal health
Outcomes-driven Prevention-focused
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Flexible, scalable and cost effective
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Current directions
What does Exponential Technology mean?
Are there examples? Who will be affected?
Rapidly growing technological features which at the same time are becoming cheaper. Moore’s law applies and when information is added to technique => law of acceleration returns applies
Healthcare providers Healthcare consumers Policy makers Legal bodies . . . everyone
Medical revolution driven by Artificial Intelligence (AI) Sensors 3D-printing Big data Internet of Things (IoT) Quantified Self Genomics Synthetic biology Robotics Stem cells
Exponential technology will (dramatically) impact the organization of healthcare
Disruptive
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Effect that we see, experience
All technology that will digitize, add information to it Digitize
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What does that mean: disruptive
The 6 D’s according to P. Diamandis
In the early stage small doublings => once it hits the knee you’re 10 doublings away from a thousand, twenty doublings to reach a million; thirty doublings to get a billion
Deceptive 2
When this steep growth path is entered. Once disruptive it … Disruptive 3
You don’t have separated solutions (flashlight, GPS or camera,….) Instead => apps on your smartphone
Dematerialization
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You can reach very quickly very large groups of people Democratization
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An existing product or service (Uber, Airbnb, Craiglist, etc) Demonetization
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9 Source: Gartner, 2014
Hype cycle
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Exponential growth
Professional healthcare delivery
Continuous personal health
Pre
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Digital library for medical education
Virtual dissection
Full physiological simulation
Microchips modeling clinical trials
Gamification based wellness
Curated on-line information
Holographic data input
Smartwatch
Real-time diagnostics in OR
Robotic nurse assistant
Semantic health records
Personalized genomics
Digestible sensors
Embedded sensors
Wearable e-skins
Artificial intelligence in medical decision support
Virtual reality applications
Virtual digital brains
Recreational cyborgs
Meaningful use of social media Nanorobots in
blood
Augmenting human capabilities
3D printed biomaterials and drugs
Artificial organs
Evidence-based mobile health
Remote touch
Robotic interventions
Multifunctional radiology
Source: Instagram by Bertalan Meskó, MD, PhD
Already available In progress sTill needs time
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Exponential growth
Professional healthcare delivery
Continuous personal health
Pre
ven
tio
n
Dia
gno
sis
Trea
tme
nt
Ou
tco
me
s
Digital library for medical education
Virtual dissection
Full physiological simulation
Microchips modeling clinical trials
Gamification based wellness
Curated on-line information
Holographic data input
Smartwatch
Real-time diagnostics in OR
Robotic nurse assistant
Semantic health records
Personalized genomics
Digestible sensors
Embedded sensors
Wearable e-skins
Artificial intelligence in medical decision support
Virtual reality applications
Virtual digital brains
Recreational cyborgs
Meaningful use of social media Nanorobots in
blood
Augmenting human capabilities
3D printed biomaterials and drugs
Artificial organs
Evidence-based mobile health
Remote touch
Robotic interventions
Multifunctional radiology
Source: Instagram by Bertalan Meskó, MD, PhD
Already available In progress sTill needs time
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What’s behind this? And why now?
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Influential books
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Exponential technological growth
at reduced cost for performance
Bandwidth
Storage Cost
Computing Cost
0
200
400
600
800
1000
1200
1400
1 2 3 4 5 6 7 8 9 10 11
$ per gB per Sec.
$ per 1M transistors
$ per gB
1992 Today
$
Performance
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Quantified self. A powerful way to change behavior.
Source: David Hargreaves, Quantified Self promoter
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You are just a number
Source: Tim Chester, Digital writer
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Ultrathin ‘diagnostic skin’ allows continuous monitoring
Source: R. Chad Webb et al., Natural Materials
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“Smart Contact Lens” acquires all sorts of physiologic data
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Data, data, data
• Collect data • Share data
(we are our social network)
• Analyze data • Find patterns • Feed it to the “new” physician
People will contribute their own private data as long as they get value back
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Waiting for a donor? Let’s (3-D) print it!
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A visit with Dr. Watson….
With thanks to Dr. N. Hekster, IBM
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Dr. Watson supports healthcare with:
Education
Research
Clinical Practice
Payment
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What is Dr. Watson doing?
Understands natural language
and human communication
Adapts and learns from choices
and answers of his users
Generates and evaluates
founded hypotheses
Based on unstructured information management architecture (UIMA),
deep natural language processing (NLP),
deep Quality Assurance (QA) of the data,
hundreds of annotators, neural networks, and
massively parallel processing (MPP)
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Dr. Watson uses the New England Journal of Medicine for annotations of medical concepts
Symptoms Disease
Time
Medication
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IBM’s Oncology Diagnosis & Treatment Advisor
Shows how Watson assists an oncologist when:
Correlates scattered data EMR’s, summaries, test results, pathology reports, etc.
Suggests additional diagnostics
Provides evidence-based treatment options
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Augmented reality?
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Google Glass in the Operating Room Presents vital signs & EMR data to the surgeon directly
Source: Paul Szotek [Google]
Already a commodity? UMC-St. Radboud
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31 Confidential
Robotic healthcare provider Technology closer to the patient
TU – Eindhoven
the new physician, nurse ...?
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The new OR advisor? TU - Delft
“Beam me up” Experiments with teleporting of experts
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Conclusions
Hospitals will be smaller – Diagnostic and treatment ‘satellites’ connected electronically to hospitals
– Self-diagnosis with more precision (sensors, artificial intelligence)
– Physician will focus on severe cases and surgery
– Ubiquitous IT will be the driver for change(s)
Social networks, IoT and big data analytics are the foundation for deriving health patterns
Technological advances are essential to keep healthcare affordable
Shift from disease care to health care
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