3. The ultimate goal for health care is better health for all
The evidence suggests we live in a world where our existing models of
healthcare are both financially unsustainable and inequitable.
Hersch, Meeting the healthcare challenges of the 21st Century
Dr Fred Hersch, Chief Medical Officer of Telenor Health based in
Bangladesh
4.
5. Problèmes des données :
Pas d’obligation de données minimales et structurées.
Dispersion des données : absence de dossier unique.
Manque de données essentielles
Qualité des données enregistrées
Validité des données (interne versus externe)
Selon DeRosnay:
Il y a plus de données sur « facebook » que dans le DMP
(P pour perdu) !
Peuvent être remis en question très sérieusement
6. Doctors prescribe medicine
Of which they know little
To cure diseases of which they know less
In human beings of which they know nothing
François-Marie Arouet Voltaire
21/11/1694 – 30/05/1778Data !
8. This U.S. Company Is Offering to Put Microchips in Their Employees
www.futurism.com July 27th
2017
9. Verily's goal: Make our bodies produce as much data as our cars
By Jonah Comstock October 03, 2017 www.mobihealthnews.com
“If you do the math, there is basically ten orders of magnitude difference between
the amount of data your car creates versus you,” Otis said. “And ostensibly, as
people, our bodies are more important than cars.”
It’s called the Baseline Study, and it’s a four year
study of 10,000 subjects all over the United States
utilizing both smartphone-based devices and old-
fashioned in-clinic medical tests.
10. Spire's discreet wearable turns any clothes into
continuous health monitors
November 16, 2017 www.mobihealthnews.com
The Spire Health Tag is sold in packs of three ($99), eight ($199), and 15 ($299), and
is intended to be attached to multiple articles of clothing. Each device can run for
nearly two years without needing to recharge and, according to Spire, is durable
enough to survive regular wear and cleaning.
Much like its previous clip-on wearable, the Health Tag primarily focuses on a user’s
breathing to continuously record stress and tension and activity. But along with its
out of sight, out of mind design approach, Palley said that the new device’s sensors
have also been improved to include sleep and heart rate tracking, as well as more
advanced analyses of respiratory health.
BITalino Body Monitoring Project Kit Gets
Cloud Software Upgrade
NOVEMBER 9TH, 2017 WWW.MEDGADGET.COM
BITalino is a set of hardware and software ingredients that allow just about anyone to
build their own body monitoring devices.
The software, which previously required stand-alone computers to run, is now
available in a cloud-based version. It makes it easy to go from assembling a kit to
using the gathered data, as there’s no software to install or a computer to manage.
Moreover, BITalino is beginning to provide plugins for the software that are designed
to process specific kinds of data in a proper way.
11. Mesure de Paramètres Biologiques
Athelas Device Provides Accurate CBC Testing –
From Home SEPTEMBER 6TH, 2017 WWW.FUTURISM.COM
Abbott’s i-STAT
Alinity Bedside
Blood Testing
System Approved
for Sale in Europe
DECEMBER 1ST, 2016
MEDGADGET
12. myLab Box expands at-home
testing kit with 6 new STD tests
February 14th
, 2017
www.mobihealthnews.com
USB Stick Measures HIV
Levels Within Half Hour
NOVEMBER 17TH, 2016 MEDGADGET.COM
13. MinION Data from Human Gene
Sequencing Released.
January 24th
2015 www.labcritics.com
Portable DNA Sequencer MinION
Helps Build the Internet of Living
Things
Posted 17 Mar 2016 spectrum.IEEE.com
14. Are We One Breath Away From the Perfect
Healthcare Hack?
Clifton Leaf Feb 01, 2017 Fortune
None other than the great Linus Pauling—master chemist, elucidator of the chemical
bond, 70-time nominee for the Nobel Prize and recipient of the award in 1954—
proposed and tested the idea of diagnosing disease via the VOCs in human breath.
Hossam Haick says his group created a device that combines an array of carbon
nanotubes and tiny gold particles that is able to sense electrochemical signals from tell-
tale chemicals (known as volatile organic compounds, or VOCs) in human breath—and
that when those signals are analyzed with the help of artificial intelligence, they reveal
the unique signatures of more than a dozen diseases.
Small, Cheap, Disposable Sensors for
Detecting Organic Volatile Compounds in
Breath
MAY 19TH, 2017 WWW.MEDGADGET.COMAt the University of Illinois, researchers have developed small, extremely
sensitive detectors of volatile organic compounds, seemingly capable of sensing
such chemicals at concentrations even our noses can’t detect. While there are a
lot of applications for such technology in medicine and other fields, the
researchers chose to detect ammonia in exhaled breath, a biomarker for kindey
disease, as a proof of concept for the sensors.
15. The tech giant,
IBM is teaming its Watson AI supercomputer with academic researchers to try to
predict from speech patterns whether patients are likely to develop a psychotic
disorder. Even the US Army got interested! In May, 2016 it launched a partnership
with MIT researchers with the goal of developing an FDA-approved device to
detect brain injury.
Vocal Biomarkers: New Opportunities in Prevention
January 9th
2017 The Medical Futurist
16. Soon, You Could Have Your Genome Sequenced in 60 Minutes for $100
www.futurism.com January 11th
2017
23andMe gets FDA's go-ahead
to sell genetic health risk tests,
opening the door for faster
approval for future tests
By Heather Mack April 07, 2017
www.mobihealthnews.com
Viome raises $15M to manage the
microbiome with machine learning
By Bernie Monegain August 07, 2017
www.mobihealthnews.com
17.
18. A Chinese Province Is Sequencing One Million of Its Residents’ Genomes
www.futurism.com November 8th
2017
A project out of China's National
Health and Medicine Big Data
Nanjing Center will sequence one
million Chinese genomes. This project
is an effort to identify population trends
and the genetic basis of health
disorders.
22. In Lung Cancer, Training
Computers to Be Pathologists
Alexander M. Castellino, PhD August 16, 2016
Now a report published online August 16 in Nature
Communications indicates that computers can be
trained to analyze –hematoxylin and eosin (H&E)–
stained whole slide histopathologic images of
patients with lung cancer with a higher degree of
accuracy than trained pathologists.
Two highly skilled
pathologists assessing
the same slide will agree
only about 60 percent of
the time.
This approach replaces this
subjectivity with
sophisticated, quantitative
measurements that we feel
are likely to improve patient
outcomes
Google AI detects breast cancer
better than pathologists
March 6, 2017 PharmaForum
In a study carried out by researchers taking part in
Google’s Brain Residency Program – a 12-month
educational course in machine and deep learning – an
algorithm was trained to detect breast cancer tumours in a
dataset of digitised pathology slides provided.After
‘training’ the algorithm, researchers were able to achieve a
92% sensitivity in picking out tumour cells from the slides –
significantly higher than the 73% achieved by trained
pathologists with no time constraint.
23. Will not using image analysis in pathology be perceived as irresponsible?
Posted on 06/22/2017 by Simon Häger Digital Pathology
As digital pathology is adopted, it enables the use of algorithms to support
pathologists’ review, thereby reducing variability. Although there are not enough
clinical studies to prove its current value, many early adopters are reporting
significant improvements in precision and quality by using image analysis
applications. It is my firm belief that we will soon reach a point when, from a patient
care perspective, it will be perceived as irresponsible to not take advantage of the
efficient use of image analysis made possible through digital pathology.
24. Time to speed up adoption of digital pathology
Early adoption of image analytical tools and artificial intelligence are crucial if
health systems across Europe are to see the full potential of digital pathology,
according to a leading expert.
Healthcare-in-europe.com September 2017
“When you see the huge advances in artificial
intelligence applied to pathology in the last 1-2
last years, you realize there is no going back from
that progress. It will definitely come, but the
question is when and how fast?
“We have seen from other parts of medicine - like
diagnosing a melanoma from a photograph of a
skin lesion or looking at the diabetic changes in
the fundus of the eye – that the algorithms have
reached expert levels of performance, so that
means the same will of happen in pathology.
Prof Lundin Helsinki & Stockholm
25. Artificial Intelligence Reads Mammograms With 99% Accuracy
September 25th
2016 FUTURISM
A team from the Houston Methodist
Research Institute says they have
developed artificial intelligence software
capable of analyzing mammograms for
breast cancer with 99 percent accuracy.
The technique involves scanning patient
charts and cross-checking them with
results from mammogram X-rays and
clinical reports.
“We figured out you can mine a clinical
report for additional information,” said lead
researcher Stephen Wong
26. The Future of Radiology and Artificial Intelligence
The Medical Futurist July 3rd
2017
Rather than pushing off machine
intelligence as being a threat to their job,
instead, radiologists should engage it,
because it’s something that can really help
patients.
I’m sure it will dramatically change what
radiologist do over the next ten years, but
you should also keep in mind that
eventually, radiology ten years ago was
nothing like what it is today.
27. A 'Blowout Year' for AI in Radiology
November 17, 2017 Medscape Oncology
Artificial intelligence, deep learning, and radionomics — quantitative features that
enable the mining of data from images — will be in the spotlight here at the
Radiological Society of North America (RSNA) 2017 Annual Meeting.
Among the more than 100 sessions on
artificial intelligence and deep learning
will be a presentation by Keith Dreyer,
DO, PhD, director of the Center for
Clinical Data Science at Massachusetts
General Hospital in Boston, entitled
Harnessing Artificial Intelligence.
And Richard Ehman, MD, from the Mayo
Clinic in Rochester, Minnesota, in his
presentation, will ask: Is it Time to
Reinvent Radiology?
28. Teenage team develops AI system to screen for diabetic retinopathy
By Jeff Lagasse August 08, 2017 www.mobihealthnews.com
According to the IEEE Spectrum, Kopparapu, her 15-year-
old brother Neeyanth and her classmate Justin Zhang
trained an artificial intelligence system to scan photos of
eyes and detect, and diagnose, signs of diabetic
retinopathy. She unveiled the technology at the O’Reilly
Artificial Intelligence conference in New York City in July.
One hospital has already tested the technology, fitting a 3D-
printed lens onto a smartphone and training the phone’s
flash to illuminate the retinas of five different patients.
Tested against opthalmologists, the system went five for five
on diagnoses.
Kopparapu’s invention still needs lots of tests and additional
data to prove its efficacy before it sees widespread clinical
adoption, but so far, it’s off to a pretty good start.
29. The Algorithm Will See You Now: Artificial Intelligence May Transform
Retinal Screening
September 18, 2017 www.Medscape.com
In the United States, universal adoption
of photographic DR screening would
require evaluation of an estimated 32
million images annually.
The advantages of applying automated
algorithms to DR screening include
consistency of grading, cost-
effectiveness, and a processing capacity
of 260 million images per day
Other questions also remain; these
include liability and the evolution of the
physician role as AI penetrates deeper
into the delivery of daily clinical care.
30. Deep learning algorithm does as well as dermatologists in identifying skin cancer
In hopes of creating better access to medical care, Stanford researchers have trained an
algorithm to diagnose skin cancer.
January 25th
2017 Stanford News
Universal access to health care was on the minds of
computer scientists at Stanford when they set out to
create an artificially intelligent diagnosis algorithm for
skin cancer. They made a database of nearly 130,000
skin disease images and trained their algorithm to
visually diagnose potential cancer. From the very first
test, it performed with inspiring accuracy.
31. VisualDx app to debut with Apple iOS 11, helping non-dermatologist doctors
diagnose skin conditions
By Jeff Lagasse August 29, 2017 www.mobihealthnews.com
With the upcoming iOS 11 launch, a new
VisualDx app, enabled with Apple Core ML, will
help doctors provide quick and accurate
diagnoses of lesions, rashes, and other skin
conditions.
Billed as a clinical decision support system for
physicians and frontline healthcare
professionals, Rochester, New York-based
VisualDx developed the technology to help non-
dermatology health practitioners identify and
treat a wide range of skin conditions, many of
which were previously difficult to diagnose
without referral to a specialist.
The technology analyzes a photo taken by a clinician and automatically classifies the photo in
less than a second on the iPhone itself. The clinician views and confirms the classification of
the lesion type, body location and skin type and then can immediately review accurate
diagnostic possibilities and treatment options.
32. Amazing Technologies Changing The Future of Dermatology
www.themedicalfuturist.com September 2017
1. Telemedicine
2. Big data
3. Robotics
4. AI
5. 3DP
6. Regeneration
7. Social networks
8. Sensors
9. Nanoparticles
35. Drivers of Accelerated and Disruptive
innovation in Healthcare.
Radically changing the ecosystem
Internet of Medical Things (IoMT)
Big data
Artificial intelligence
Platform-solutions
Blockchain
Cloud
36. Internet of medical things
Big data
Artificial intelligence
Platform-solutions
Blockchain
Cloud
37. Smarter healthcare in smart cities
December 19th
, 2016 Orange Business Insider
The goal of smart cities is to improve urban infrastructure while reducing costs, to
foster innovation in various sectors and to enhance the quality of life of citizens.
This includes smart healthcare, which Frost & Sullivan predicts will make up
almost 15 percent of all smart city business by 2020.
Smart healthcare uses the latest mobile and
digital technologies to make advances in
eHealth and mHealth systems while also
driving the growth of intelligent and
connected medical devices.
E-Health or m-health ?
38. Internet of medical things
Big data
Artificial intelligence
Platform-solutions
Blockchain
Cloud
39. Examples of “Big Data” in Health Care
• Medical sensor data
• Data in hospital information
systems
• Image data
• Ultrasound data
• Medical publications
• Clinical studies
• Human genome data (“omics”
in general)
• Cancer registries
• Exposome
40.
41. What are the problems with MD’s ?
• Most physicians practice in:
– Virtually data-free environment
– Devoid of feedback on the correctness of their practice
• Physicians rely heavily on the « art » of medicine,
practicing not according to solid evidence but rather:
– How they were trained
– The culture of their own practice environment
– Their own experience with their patients
• Explosive growth in medical research and knowledge
– Physicians are not following the evidence (if available).
Data !
Data !
Data !
42. Doctors prescribe medicine
Of which they know little
To cure diseases of which they know less
In human beings of which they know nothing
François-Marie Arouet Voltaire
21/11/1694 – 30/05/1778Data !
43. It’s high time for a data driven
ecosystem !
We urgently need “Big Data” in healthcare.
44. The dark side of information exchange - inbox overload
By Joseph Conn | March 16, 2016 www.modernhealthcare.com
A new problem has emerged — inbox overload. And that burden is causing
physician burnout, patient-safety issues and the need for new innovation.
45. Internet of medical things
Big data
Artificial intelligence
Platform-solutions
Blockchain
Cloud
47. Deep Machine Learning
Neuronal Networks
Discovery of
Connections
(not even imagined)
Detection of presumed
links
Turning our back on the natural
scientific principle
i.e.
Establishing a theory and proving it
with experiments
DRIVERS ?
New technology
Ageing population (affordable care)
SYSTEMS MEDICINE APPROACH
48. Data / Machine
Learning / Domain
Model
Regression
Anomaly detection
Clustering
Classification
Intelligent features
Recommendation
Intelligent search
Predictive analytics
Bots
49. What is the opinion of visionary
leaders on AI in general ?
50. Obama: Synthetic Intelligence Will
Totally Transform Our Future
October 13th
2016 www.futurism.com
My general observation is that it has been
seeping into our lives in all sorts of ways,
and we just don’t notice …
We’ve been seeing specialized AI in every
aspect of our lives, from medicine and
transportation to how electricity is
distributed, and it promises to create a
vastly more productive and efficient
economy.
If properly harnessed, it can generate
enormous prosperity and opportunity.
But it also has some downsides… It could
increase inequality. It could suppress
wages.
51. IBM Chief: Computers Will Soon be Smarter Than Humans
www.futurism.com January 18th
2017
Over the next three decades, that amount of
data we encounter daily is expected to rise to
over four zetabytes according to Northwester
University psychology professor Paul Reber.
Rob High, IBM Watson's vice president chief
technology officer, believes that cognitive
computing is the answer to this increase in data
– and IBM is already working on it.
“If you’re a doctor and you’re trying to figure out
the best way to treat your patient, you don’t have
the time to go read the latest literature and apply
that knowledge to that decision,” High explained.
“In any scenario, we can’t possibly find and
remember everything.”
52. Un robot réussit le concours de médecine
21 Novembre 2017 Le spécialiste
En Chine, Xiao Yi est le premier robot
à réussir avec succès l'épreuve écrite
du concours national de médecine. Il
a étudié en 18 mois 53.000 ouvrages,
deux millions de dossiers et 400.000
rapports médicaux selon plusieurs
médias.
«Il peut aider au diagnostic en
fournissant des suggestions et en
croisant plus rapidement des
probabilités face aux différents
éléments mis en avant par
l’anamnèse du patient par le
53. Artificial Intelligence in 2016: Are You Ready for What It Will Bring?
By Jennifer Zaino / January 14, 2016 www.dataversity.net
• Those that are not yet investing in AI
are already falling behind, and will be
scrambling to catch up over the next
year or two.
• For pretty much every company, one
such advantage likely lies in adopting
Cognitive Computing technologies to
deal with the massive growth of
unstructured and streaming data.
• [We] are going to experience the most
disruptive technological shock …
54. IBM Watson Artificial Intelligence Improves Cancer Treatment
Jupiter Medical Center implements IBM Watson for Oncology to help physicians
care for patients with evidence-based treatment.
February 1st
2017 Value Based Care Summit
55.
56. Babylon Health partners with UK’s NHS to replace
telephone helpline with AI-powered chatbot
Posted Jan 4, 2017 Techcrunch.com
L’assistant virtuel au service des patients atteints
de maladies chroniques
Par Guillaume Renouard 11 février 2016 www.atelier.net
57. Artificial Intelligence is the Stethoscope of the 21st Century
The Medical Futurist July 2017. Bertalan Mesko
58. Why artificial intelligence is
different from previous technology
waves
The AI ecosystem just might be
resilient enough to live up to
the hype.
By Robbie Allen June 29th
, 2017
www.unsupervisedmethods.com
Two key factors
for technology
potential:
•The first factor is the barrier to
entry for a single developer to
create something useful.
•The second factor is
whether development on the core
platform is centralized or
decentralized.
A technology with a low
barrier to entry and
decentralized platform
development has the
greatest potential for
future impact. None of the
59.
60. IBM Chief: Computers Will
Soon be Smarter Than
Humans
www.futurism.com January 18th
2017
Kurzweil Claims That the
Singularity Will Happen
by 2029
www.futurism.com March 16th
2017
61. Bill Gates Says We Shouldn’t Panic About Artificial Intelligence
www.futurism.com September 26th
2017
In the end, it’s not so much AI itself that we should watch out for. It’s how human
beings use it. The enemy here is not technology. It’s recklessness.
To fear or not to fear ?
62. When artificial intelligence meets human stupidity
WEF 29-08-2017
There is a rough agreement among many AI experts that the technological
singularity - the moment when machine intelligence supersedes human intelligence,
and life as we know it changes unrecognizably - will take place soon after 2030.
Should we be worried at the prospect of the singularity? Excited? Afraid?
Surprised? Or lost in this scientific jargon?
Or should we be more worried
about merging artificially
intelligent machines (AIM) not with
human intelligence,
but with human stupidity ?
63. Internet of medical things
Big data
Artificial intelligence
Platform-solutions
Blockchain
Cloud
64.
65. Quelle structure nous faut-il ? PLATEFORM SOLUTIONS
Revolutionize healthcare information management with BLOCKCHAIN technology….
Discussions ongoing between FDA and IBM
Caractéristiques:
Systèmes intégrés
Acquisition des données dans des formats standards
Stockage des données
Echange des données
Analyse des données
Sécurité et sauvegarde de la vie privée
66. Internet of medical things
Big data
Artificial intelligence
Platform-solutions
Blockchain
Cloud
67. Every field of human activity will be
concerned by BLOCKCHAIN
The system of Blockchain has been quietly growing since its inception in
2008 by Satoshi Nakamoto, the pseudonym for the suspected group of individuals
who co-created Bitcoin.
Blockchain Will
Change Far
More Than How
Your Money Is
Managed.
WWW.FUTURISM.COM
March 9th
2017
68. DISTRIBUTED NETWORK AUTHORITY
• No central authority required
•Network consensus used for validation
•Data ownership stays with the provider of the data
EFFICIENCY
• Connection of data silos
•Direct data transfer between network participants
•Simple process integration of external partners
SECURITY
•Security provided via cryptography
•Transparency through history of transactions
•Tamper-proof through distributed network design
AVAILABILITY
•Easy network participation
•Advanced interoperability between partners
•Reduced risk of data loss through shared ledger
Security
Trust
Transparency
This technology could provide a
new model for health information
exchanges (HIE) by making
electronic medical records.
69. How can blockchain be used in
healthcare?
www.innovatemedtec.com 2017
Drug Traceability where each transaction between
drug manufacturers, wholesalers, pharmacists and patients
can be tracked to verify and secure drug product information
important for tackling issues such as counterfeit drugs.
Improvement and authentication of health
records and protocols on record sharing.
Smart contracts where certain rule-based methods are
created for patient data access. Here, permissions can be
granted to selected health organisations.
Clinical trials where altering or modifying data from
clinical trials fraudulently can be eradicated.
Precision medicine where patients, researchers and
providers can collaborate to develop individualised care.
Genomics research via access to genetic data secured
on blockchain
Electronic health records (EHRs)
Nationwide interoperability
70. The CDC Wants to Use Blockchain as a Weapon Against Deadly Epidemics
www.futurism.com October 11th
2017
The Centers for Disease Control and Prevention (CDC) is investigating how they
might use the blockchain to share medical data between organizations across the
United States. This could have a profound effect on the CDC's ability to respond to
epidemics.
71. IBM Watson, FDA to explore blockchain for secure
patient data exchange
The initial focus for blockchain will be oncology-related
data exchange
Computerworld January 11th
2017
IBM's Watson Health artificial intelligence unit
has signed a two-year joint-development
agreement with the U.S. Food and Drug
Administration (FDA) to explore using
blockchain technology to securely share
patient data for medical research and other
purposes.
IBM Watson Health and the FDA will explore
the exchange of patient-level data from
several sources, including electronic medical
records (EMRs), clinical trials, genomic data,
and health data from mobile devices,
wearables and the "Internet of Things." The
initial focus will be on oncology-related
information.
72. Internet of medical things
Big data
Artificial intelligence
Platform-solutions
Blockchain
Cloud
73. THE CLOUD IS ONLY BEGINNING TO CHANGE
HEALTHCARE
JULY 20TH
2017 CLOUD DECISION CENTER
In 10 years, says one stakeholder, expect a completely patient-centric experience,
as well as the question, “How did we ever do without this?”.
The healthcare sector may have been
slow to embrace the possibilities of
new IT, but now that it has, look out!
74. Why Amazon invested in this cancer-testing startup founded by a Google exec
Amazon invested in a company called Grail back in March. It wasn't clear why.
The answer? It's all about the cloud.
July 26th
2017 www.cnbc.com
A health start-up called Grail is developing
one of the most ambitious technologies in
Silicon Valley.
And Amazon wants a piece of it.
According to two sources familiar, Amazon
invested in Grail as a very special kind of
future customer for its cloud business.
This Former Google Exec Is
On A Mission To Develop A
Blood Test For Cancer
A personal tragedy was one
of the motivations for Jeff
Huber to seek out his new
role as CEO of Illumina
spinout Grail.
02-10-2016 FastCompany
75. SOUND CLOUD ECONOMICS STILL KEY TO SUCCESSFUL HEALTH
ORG TRANSITION
OCTOBER 30RD
2017 CLOUD DECISION CENTER
As David Loshin, president of Knowledge Integrity
Inc., a Big Data and Business Intelligence
consulting, training and development services
company noted recently, “aside from the
potential cost benefits of transitioning IT such as
data warehousing, business intelligence and
analytics environments to the cloud, there are four
factors that make cloud an attractive option
for CIOs:
the ability to renovate and modernize their system
as the capabilities are moved to the cloud platform;
access to virtualized systems that are deployable
on the latest and greatest hardware platforms, thus
reducing the potential for hardware obsolescence;
the growing menu of services provided by the
cloud hosts;
and the ability to offload system management and
maintenance to the cloud provider.”
78. AMA President: Digital innovations need to fight, not add to, physician
burnout
By Dave Muoio October 30, 2017 www.mobihealthnews.com
“We listen to what physicians around this
country say and they’re telling us loud and clear
that in many cases technology isn’t working for
them, and in many cases they are feeling
burned out because of the stresses of the
current environment of practices,”
Dr Barbe (President of AMA) called on the
digital health community to keep the flagging
physician in mind when designing new
solutions.
79. Paradigm changes
DIY medicine:
The pre-primary care model
Tele-medecine
Homecare
80. “The term ‘primary care’ is a misnomer.
The first thing citizens and patients do is think what they can do for themselves,
the second is to seek advice from friends and family, and in the last twenty years,
the internet …
Then they seek professional help.”
Pre-Primary Care: An Untapped Global Health Opportunity
By Jonathon Carr-Brown and Matteo Berlucchi
Professor Sir Muir Gray CBE
Honorary Professor
Nuffield Department of Primary Care Health
Sciences, University of Oxford
84. OslerMD Rapid 6 Vital Sign Measurement System for Home and
Clinic
NOVEMBER 22ND, 2016 MEDGADGET
The device is yet to be available, and
the firm is currently raising round A
funding to have the money necessary
to get through the FDA’s class 2 device
clinical trial. So far the company
performed an in-house trial similar to
what the FDA would require, and has
been satisfied with the accuracy of the
OslerMD.
The final cost is expected to be
between $200 and $250.
Doctors’ offices can use the system during check-ins and to make things transparent, the data
can be routed to the default electronic medical records (EMR) used by the physician group.
Because other device can be tied into the OslerMD, the company is thinking of eventually
producing a health kiosk based on its device that can be integrated into various health facilitie
85. By 2030, Hospitals May Be a Thing of the Past
November 14th
2016 FUTURISM.COM
Predictions from the co-chair of the
World Economic Forum’s Future
Council, Melanie Walker, say we'll
soon enter a post-hospital world
due to advances in personalized
medicine, health monitoring, and
nanotechnology.
The lynchpin of Walker’s predictions
is the increasing adoption of new
healthcare technologies, not just in
hospitals but in homes. In fact, she
says the rise of personalized
medicine means we’re moving from
hospitals to “home-spitals.”
86. Home-based connected health to overtake hospital-based by 2019
October 14th 2014 www.mobihealth.news
“The growing adoption of telemedicine services
is expected to significantly impact larger markets
such as healthcare, health insurance, home
care, telecommunications (telecom), networking,
disease management, e-health, and healthcare
IT.”
87. UK NHS to spend nearly 6 billion$ to go digital including remote care &
health apps
February 12th 2016 imdeicalapps.com
One of the NHS’ goals is to have 25%
of chronic conditions like hypertension
and diabetes monitoring their health
remotely by 2020
NHS to offer free devices and apps to help people
manage illnesses
June 17th
2016 The Guardian
Millions of people will receive devices
and apps free on the NHS to help them
manage conditions such as diabetes
and heart disease in an major drive to
use technology to reduce patient
deaths.
90. Report: With today's technology, digital health could save US $7 billion
By Jonah Comstock November 07, 2017 www.mobihealthnews.com
Existing digital health products, if
deployed comprehensively across the
country, could save the US $7 billion a
year in healthcare spending, according
to a new report from IQVIA, which until
yesterday was known as Quintiles/IMS
Health.
“Diabetes prevention, diabetes care, asthma, cardiac rehabilitation, and pulmonary
rehabilitation — in each of those five areas we took the results from published research and
modeled that to estimate that if these available apps today were used by all patients who
could benefit from them, the US healthcare system could save $7 billion per year. So that’s
just for five areas. If that level of savings was achievable across all disease areas, we’re
looking at annual savings of something like $46 billion.”
91. Qualcomm: 5G will power the push toward outcome-based care
By Dave Muoio October 27, 2017 www.mobihealthnews.com
A newly released report from
Qualcomm and the University of
California, Berkeley suggests that the
technology will become a “substantial
enabler” of the future’s personalized
health care ecosystem, and within
healthcare alone will have a sales
enabling effect of more than $1.1
trillion.
92. Kraft: Healthcare data-flow of the future will be fluid, proactive, and
personalized
By Jonah Comstock September 21, 2017 www.futurism.com
The individual parts of the healthcare system of the future are here, but it will take
forward-thinking innovators to bring those pieces together into a new paradigm.
93. New technologies are transforming health, but culture lags behind
By Dave Muoio September 19, 2017 www.mobihealthnews.com
Healthcare is becoming more decentralized every day thanks to
new technologies and a growing emphasis on consumer-
focused services, according to presentations at the Patient
Engagement and Experience Summit in Boston today.
But even as telehealth, wearables, virtual reality, and other
technologies disrupt familiar models of health care delivery, a
greater shift in culture and policy will be necessary to transform
care.
“Innovation really has to be in the DNA of an organization,”
94. Standing is the fastest way
of going backwards
Andy Lilli
It’s not a question of
should business embrace
digital transformation ?
But rather:
how will they if they
haven’t already! ?
Andy lilli