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Collaboration in Digital
Healthcare using
Exponential Technologies
Jorge Juan FERNÁNDEZ GARCÍA (@jorgejuan) Berlin, 26 May 2016
Director E-Health
Innovation Department
jfernandez@hsjdbcn.org
@HSJDBCN
Jorge Juan FERNÁNDEZ
@jorgejuan
Director
MOEBIO / d·HEALTH
jjfernandez@biocat.cat
@moebiobarcelona
1
Singularity University
2
Digital Health
3
Main barriers
Agenda
Singularity University = EXPONENTIAL TECHNOLOGIES
Exponentials are accelerating technologies for which performance relative to cost and size is
doubling every one to two years—a rate similar to Moore’s Law
“Be prepared to learn how the growth of exponential and
disruptive technologies will impact your industry, your
company, your career and your life”.
-Bob Metcalfe
It's not an accredited
university, and it doesn't
actually teach the
singularity, the supposed
superintelligence that will
result when man merges
with machine.
1
Singularity University
2
Digital Health
3
Main barriers
Agenda
Healthcare is the only industry where all the Exponential
Technologies are in place and converging
Smartphone = PlatformEmpowered Patients
VR / AR
Portable Diagnostics
3D printingOnline care
Big Data Precision Medicine
Hacking Life’s Code
Artificial Intelligence
Sensors
Medical Tricoder
Human augmentation
DronesBrain Computer Interface
[1] Online care
Every Company will be a Technology Company
SOURCE: http://content.healthaffairs.org/content/33/2/251.abstract
These trends suggest dramatically increasing comfort among
both patients and physicians with health care provided virtually
[2] Empowered Patients
Peer-to-peer health care will change the world
SOURCE: http://www.technologyreview.com/news/518886/patients-take-control-of-their-health-care-online/
Patients and caregivers know things and they want to share what they know
to help other people.
User-generated data = the new Public Health
[3] Smartphone = Platforms
Prescribing more than medicine: Apps & Peripherals (Apps & Adds)
Themometer (Kinsa Smart) GeckoCap: improving medication
adherence in pediatric asthma
NETRA (MIT) Peek Vision
iBGStar
Otoscope
(Oto, CellScope)
[4] 3D Printing
Medicine #1 area of application
3D Printing works with any material (glass, titanium,…)
and any scale (micro scale, building scale,…)
 Tissues with blood vessels
 Low–Cost Prosthetic Parts
 Drugs
 Tailor–made sensors
 Tumor Models
 Bone
 Heart Valve
 Ear cartilage
 Medical equipment
 Cranium Replacement
 Synthetic skin
 Organs
WARNING: 3D printing will cause an intellectual property
nightmare. 10x worse than what we’re seeing with digital files.
12 Things We Can 3D Print in
Medicine Now
[5] Medical Tricorder
From B2B to B2C: Healthcare Is Becoming A Consumer Business
http://tytocare.com/http://www.scanadu.com/
The Medical Tri-Corder: consumers are in charge
[6] Portable Diagnostics (POC)
Devices that are becoming our go-to diagnostic centers
DISEASE DECODED
Imagine a simple blood test that can tell
you, at the molecular level, the exact
type of disease you have and its severity
before presenting any symptoms.
Imagine using the same test to monitor
the success of the treatment.
http://miroculus.com/
By January 2013, Kahol’s team had
incorporated 33 diagnostic tests, including for
HIV, syphilis, pulse oximetry, and troponin
(relating to heart attack) into the Swasthya
Slate and reduced its cost to $800 per unit.
In high volumes, the Swasthya Slate can be
produced for as little as $150 per unit.
http://www.swasthyaslate.org/
[7] Artificial Intelligence (AI)
In 10 years, you will trust your computer more than your doctor
After only one year, Watson’s
successful diagnostic rate for
lung cancer is 90%, compared
to 50% for human doctors.
One such Watson system
contains 40 million documents,
ingests an average of 27.000
new documents per day, and
provides insights for thousands
of users.
The smartest thing on the planet today is neither man nor machine.
It’s a combination of the two.
[8] Big Data
In The Hospital Of The Future, Big Data Is One Of Your (Best) Doctors
DNA / RNA Proteins Metabolites
Cells /
Tissues
25.000
genes
100.000
proteins
2.400
compounds
7 trillion
human cells
Organs
9
organ-
systems
29
organs
Body Society
4
basic types
of tissues
1
human
body
7 billion
people
SOURCE: Siemens AG 2012
The 7 trillion piece puzzle
[9] Precision Medicine
Discovering unique therapies that treat an individual’s condition based on the specific
abnormalities of their disease
http://nih.gov/precisionmedicine/
[10] Human Augmentation
http://www.cybathlon.ethz.ch/
[11] Brain Computer Interface (BCI)
Technology will help us understand the brain (the last human frontier)
http://www.choosemuse.comhttp://emotiv.com/
[12] Wearables & Sensors
The human body is the next computer interface
[13] VR (Virtual Reality) / AR (Augmented Reality)
AR/VR in healthcare is predicted to generate $2.54 billion globally by 2020
www.psious.com
http://infinadeck.com/
[14] Genome sequencing
Hacking Life’s Code
Note the sudden and profound out-pacing of Moore's Law beginning in January 2008. This represents the
time when the sequencing centers transitioned from Sanger-based (dideoxy chain termination sequencing)
to 'second generation' (or 'next-generation') DNA sequencing technologies.
https://www.genome.gov/sequencingcostsdata/
[15] Drones
Streamlining healthcare delivery: The age of autonomous transport
https://mttr.net/
Ambulance Drone
(Delf, Netherlands)Matternet
(Rural Africa)
DrONE (Miami Children’s Hospital)
1
Singularity University
2
Digital Health
3
Main barriers
Agenda
BARRIERS
1. Humans become disillusioned
“When an exponential technology is at 1%, you are halfway to 100%”
BARRIERS
2. Technology does not translate to labor productivity
http://dupress.com/articles/from-exponential-technologies-to-exponential-innovation/
BARRIERS
3. Our legacy systems (institutions) are slow
Law of Disruption:
“Social, political, and economic
systems change incrementally,
but technology changes
exponentially”.
Resources
2012 20152014
2 newsletters:
 Tech blog
 Abundace Insider
1 podcast:
 Exponential Wisdom
Director E-Health
Innovation Department
jfernandez@hsjdbcn.org
@HSJDBCN
Jorge Juan FERNÁNDEZ
@jorgejuan
Director
MOEBIO / d·HEALTH
jjfernandez@biocat.cat
@moebiobarcelona

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CHARITE ENTREPRENEURSHIP SUMMIT 2016 - Singularity University workshop (27 may 2016)

  • 1. Collaboration in Digital Healthcare using Exponential Technologies Jorge Juan FERNÁNDEZ GARCÍA (@jorgejuan) Berlin, 26 May 2016
  • 2. Director E-Health Innovation Department jfernandez@hsjdbcn.org @HSJDBCN Jorge Juan FERNÁNDEZ @jorgejuan Director MOEBIO / d·HEALTH jjfernandez@biocat.cat @moebiobarcelona
  • 4. Singularity University = EXPONENTIAL TECHNOLOGIES Exponentials are accelerating technologies for which performance relative to cost and size is doubling every one to two years—a rate similar to Moore’s Law “Be prepared to learn how the growth of exponential and disruptive technologies will impact your industry, your company, your career and your life”. -Bob Metcalfe It's not an accredited university, and it doesn't actually teach the singularity, the supposed superintelligence that will result when man merges with machine.
  • 6. Healthcare is the only industry where all the Exponential Technologies are in place and converging Smartphone = PlatformEmpowered Patients VR / AR Portable Diagnostics 3D printingOnline care Big Data Precision Medicine Hacking Life’s Code Artificial Intelligence Sensors Medical Tricoder Human augmentation DronesBrain Computer Interface
  • 7. [1] Online care Every Company will be a Technology Company SOURCE: http://content.healthaffairs.org/content/33/2/251.abstract These trends suggest dramatically increasing comfort among both patients and physicians with health care provided virtually
  • 8. [2] Empowered Patients Peer-to-peer health care will change the world SOURCE: http://www.technologyreview.com/news/518886/patients-take-control-of-their-health-care-online/ Patients and caregivers know things and they want to share what they know to help other people. User-generated data = the new Public Health
  • 9. [3] Smartphone = Platforms Prescribing more than medicine: Apps & Peripherals (Apps & Adds) Themometer (Kinsa Smart) GeckoCap: improving medication adherence in pediatric asthma NETRA (MIT) Peek Vision iBGStar Otoscope (Oto, CellScope)
  • 10. [4] 3D Printing Medicine #1 area of application 3D Printing works with any material (glass, titanium,…) and any scale (micro scale, building scale,…)  Tissues with blood vessels  Low–Cost Prosthetic Parts  Drugs  Tailor–made sensors  Tumor Models  Bone  Heart Valve  Ear cartilage  Medical equipment  Cranium Replacement  Synthetic skin  Organs WARNING: 3D printing will cause an intellectual property nightmare. 10x worse than what we’re seeing with digital files. 12 Things We Can 3D Print in Medicine Now
  • 11. [5] Medical Tricorder From B2B to B2C: Healthcare Is Becoming A Consumer Business http://tytocare.com/http://www.scanadu.com/ The Medical Tri-Corder: consumers are in charge
  • 12. [6] Portable Diagnostics (POC) Devices that are becoming our go-to diagnostic centers DISEASE DECODED Imagine a simple blood test that can tell you, at the molecular level, the exact type of disease you have and its severity before presenting any symptoms. Imagine using the same test to monitor the success of the treatment. http://miroculus.com/ By January 2013, Kahol’s team had incorporated 33 diagnostic tests, including for HIV, syphilis, pulse oximetry, and troponin (relating to heart attack) into the Swasthya Slate and reduced its cost to $800 per unit. In high volumes, the Swasthya Slate can be produced for as little as $150 per unit. http://www.swasthyaslate.org/
  • 13. [7] Artificial Intelligence (AI) In 10 years, you will trust your computer more than your doctor After only one year, Watson’s successful diagnostic rate for lung cancer is 90%, compared to 50% for human doctors. One such Watson system contains 40 million documents, ingests an average of 27.000 new documents per day, and provides insights for thousands of users. The smartest thing on the planet today is neither man nor machine. It’s a combination of the two.
  • 14. [8] Big Data In The Hospital Of The Future, Big Data Is One Of Your (Best) Doctors DNA / RNA Proteins Metabolites Cells / Tissues 25.000 genes 100.000 proteins 2.400 compounds 7 trillion human cells Organs 9 organ- systems 29 organs Body Society 4 basic types of tissues 1 human body 7 billion people SOURCE: Siemens AG 2012 The 7 trillion piece puzzle
  • 15. [9] Precision Medicine Discovering unique therapies that treat an individual’s condition based on the specific abnormalities of their disease http://nih.gov/precisionmedicine/
  • 17. [11] Brain Computer Interface (BCI) Technology will help us understand the brain (the last human frontier) http://www.choosemuse.comhttp://emotiv.com/
  • 18. [12] Wearables & Sensors The human body is the next computer interface
  • 19. [13] VR (Virtual Reality) / AR (Augmented Reality) AR/VR in healthcare is predicted to generate $2.54 billion globally by 2020 www.psious.com http://infinadeck.com/
  • 20. [14] Genome sequencing Hacking Life’s Code Note the sudden and profound out-pacing of Moore's Law beginning in January 2008. This represents the time when the sequencing centers transitioned from Sanger-based (dideoxy chain termination sequencing) to 'second generation' (or 'next-generation') DNA sequencing technologies. https://www.genome.gov/sequencingcostsdata/
  • 21. [15] Drones Streamlining healthcare delivery: The age of autonomous transport https://mttr.net/ Ambulance Drone (Delf, Netherlands)Matternet (Rural Africa) DrONE (Miami Children’s Hospital)
  • 23. BARRIERS 1. Humans become disillusioned “When an exponential technology is at 1%, you are halfway to 100%”
  • 24.
  • 25. BARRIERS 2. Technology does not translate to labor productivity http://dupress.com/articles/from-exponential-technologies-to-exponential-innovation/
  • 26. BARRIERS 3. Our legacy systems (institutions) are slow Law of Disruption: “Social, political, and economic systems change incrementally, but technology changes exponentially”.
  • 27. Resources 2012 20152014 2 newsletters:  Tech blog  Abundace Insider 1 podcast:  Exponential Wisdom
  • 28. Director E-Health Innovation Department jfernandez@hsjdbcn.org @HSJDBCN Jorge Juan FERNÁNDEZ @jorgejuan Director MOEBIO / d·HEALTH jjfernandez@biocat.cat @moebiobarcelona