Download This Report Here: http://digihealth.info/dhimpact -- Traditionally, we have used investment data to understand the growth and evolution of the digital health market. However, while valuable, funding data, provides limited information about two other important measures of the digital health market’s strength: implementation and impact. With thousands of organizations, startups, government agencies, universities and others testing, developing and commercializing digital solutions, improving our understanding of the market’s scope requires new data sources, analysis and metrics. This quarterly report series satisfies these unmet needs.

1. A Quarterly Review of the Global Digital Health
Market’s Overall Strength and Impact
digihealth impact trac
Q3 2017
Developed by Fard Johnmar, Futurist, Strategist and Researcher
A Digital Health Maven
Project Publication

2. Contents
2
About the Author || Page 3
Why digihealth impact trac? || Page 4
Data Source & Methodology || Page 6
Is the Global Digital Health
Market Stronger or Weaker? || Pages 7 - 8
Digital Health Impact: Q3 2017 Highlights || Page 9
Ecosystem Analysis: Scope || Pages 10 - 12
Ecosystem Analysis: Momentum || Page 13
Ecosystem Analysis: Investments || Page 14
Ecosystem Analysis: Connections || Page 15
About Enspektos and the
Digital Health Maven Project || Page 17
Additional Notes || Page 18
digihealth impact trac | Q3 2017 | published october 4, 2017
digihealth impact trac
Q3 2017

3. About the Author
3
Fard Johnmar is founder and president of the noted
innovation consultancy Enspektos.
Fard is a nearly 20-year global health industry veteran
and has spent more than twelve in the digital health
arena. He has advised executives, entrepreneurs,
medical professionals and others focused on developing
groundbreaking digital health tools, technologies,
products and services at startups and large organizations
such as Johnson & Johnson, Novartis, Sanofi, the CDC
and the Canadian government.
In addition to speaking regularly about digital innovation
trends to audiences globally, Fard and his work have
been featured in numerous media outlets, including the
Los Angeles Times, NPR and Forbes. He is also a fellow
at the Columbia University-affiliated Healthcare
Technology Lab.
Fard is the co-author of the #1 global bestseller, ePatient
2015: 15 Surprising Trends Changing Healthcare, which
explores the impact of digital technologies on health and
well-being. He also holds a U.S. patent for a unique
analytics engine that measures the impact of digital
content exposure on health behavior change.
Learn more about Fard at www.fardjohnmar.com.
Fard Johnmar
Futurist | Strategist
Researcher | Inventor
digihealth impact trac | Q3 2017 | published october 4, 2017

4. Why digihealth impact trac?
4
Quarterly, StartUp Health, Rock Health and other organizations develop highly
useful and widely-cited reports focusing on U.S. and global digital health
investment activity. This research has provided important information about the
overall status of the market, including which types of companies are receiving
funding, whether investor confidence is rising or falling and other data.
However, while valuable, funding data provides limited information about two
other important measures of the digital health market’s strength: implementation
and impact. Currently, there are thousands of organizations, startups, government
agencies, universities and others testing, developing and commercializing digital
solutions. Improving our understanding of the market’s scope requires
investigating:
• Where people are focused from an implementation perspective: This can
include looking at what technologies are receiving significant attention,
therapeutic categories of greatest interest and more
• How digital technologies are impacting health, well-being, workflows and
other factors: While the jury is still out about whether many digital solutions
will have positive benefits on health outcomes, early evidence is emerging that
some technologies including virtual reality and mobile, may have significant
health benefits
The digihealth impact trac quarterly report series is designed to deepen our
understanding of and encourage more nuanced analysis about digital health’s
global importance and influence.
digihealth impact trac | Q3 2017 | published october 4, 2017

5. How to Download this Report
5
This digihealth impact trac
quarterly report is not
available for download on
SlideShare.
Access the PDF of this publication via the
Digital Health Maven Project’s Website.
In addition to downloading this valuable resource,
you’ll have access to numerous free innovation
tools, including courses, Webinars and videos.
You’ll also be notified when new quarterly
digihealth impact trac reports are released.
Click the button below to get started.
digihealth impact trac | Q3 2017 | published october 4, 2017
Click Here to Download This Report

6. Data Source & Methodology
Enspektos has compiled the world’s largest source of categorized digital health market
data. For this report, we analyzed this intelligence using a unique methodology
designed to aid the rapid and systematic analysis of health innovation ecosystems.
6
Data Source Methodology
Data in this report was sourced
from the Digihealth Informer database.
This is an intelligence and productivity
platform with more than 4 million data
points focusing on the global digital and
emerging technology market, including:
• Market Events: Partnerships,
mergers, acquisitions, pilots and
other data on digital and emerging
technology implementation
• Investment Activity: Funding
events, investors and more
• Partnerships, Pilots and
Collaborations: Extensive
contextual data on how
organizations, startups and others
are implementing digital
technologies in health and medicine
Scope Momentum
$
InvestmentsConnections
Health Technology Ecosystem
Analysis Method: 4 Areas of Focus
Global digital and emerging technology
market data collected by DigiHealth Informer
during Q3 2017 and Q3 2016 was examined
(via search queries) using the Health
Technology Ecosystem Analysis Methodology.
This Enspektos-developed method focuses on
four key areas that define innovation
ecosystems: scope (global reach), momentum
(regional activity volume), investments and
connections (partnerships, etc.).
Source: Enspektos, LLC
digihealth impact trac | Q3 2017 | published october 4, 2017

7. Is the Global Digital Health Market
Stronger or Weaker?
7
Introducing the Global Digital Health Strength Index
Traditionally, the strength of the digital health market has been measured by
the level of investment dollars flowing into startups and other firms. While financial
strength is a valuable metric, it can provide an incomplete picture of overall market
potential. Other factors, specifically whether there is a focus on measuring digital
health-related outcomes, improving data infrastructure and innovation diffusion, also
have a significant impact on whether digital technologies are (and will be) successful.
To improve understanding of digital health’s impact and scope we have
developed a new measure: the Global Digital Health Strength Index. The Index
consists of four metrics that, when taken together, provide a holistic picture of how the
market is performing globally on a year-over-year basis. The metrics are:
• Infrastructure Focus: Whether industry players and others are focused and
working on improving data interoperability and analytics capabilities, which are
central to flow of data and the ability to derive clinically meaningful insights from
Big Health Data
• Regional Diversity: The degree to which digital health innovations are being
introduced and adopted globally in the consumer and professional markets
• Health Outcomes Emphasis: How much focus there is on collecting data related
to whether and how digital technologies improve health outcomes
• Financial Strength: Overall global digital health funding levels (as measured by
StartUp Health)
Note: With the exception of the Financial Strength measure, data for these
metrics was gathered using DigiHealth Informer’s analytics tools.
digihealth impact trac | Q3 2017 | published october 4, 2017

8. TheGlobalDigitalHealthMarket
StrengthenedinQ32017
8 digihealth impact trac | Q3 2017 | published october 4, 2017
Infrastructure Focus
Methodology and Definitions: For this analysis (except for the financial strength metric), searches of the DigiHealth Informer
database were conducted for the following keywords during the Q3 2017 and Q3 2016 time frames:
• Infrastructure Focus: References to data interoperability and analytics
(Keywords: digital health interoperability; digital health analytics)
• Regional Diversity: Number of countries referenced as engaging in digital health innovation
(Keyword: digital health)
• Health Outcomes Research Emphasis: References to outcomes research (clinical and non-clinical) activities
(Keywords: digital health outcomes)
• Financial Strength: Global digital health funding levels (as measured by StartUp Health)
Higher
Lower
No Change
Interoperability, Analy7cs References
(vs. Q3 2016)
Regional Diversity
Higher
Lower
No Change
Country-Specific Innova7on References
(vs. Q3 2016)
Health Outcomes Emphasis
Higher
Lower
No Change
Health Outcomes Research References
(vs. Q3 2016)
Stronger
Weaker
No Change
Total Global Investment Volume
(vs. Q3 2016)
Financial Strength
Global Digital Health Strength Level - Q3 2017 vs. Q3 2016: Stronger
Source: Enspektos, LLC

9. Digital Health Impact: Q3 2017 Highlights
9
-mHealth Dominant
Mobile is s)ll a major
area of innova)on
ac)vity. Mobile
innovators also focused
on Big Data, adherence
and wearables.
-Europe, Asia Rising
Innova)on efforts
accelera)ng in the
United Kingdom, Spain,
Germany, China and
India.
-Na8onal, Local
Investments in Digital
Health Infrastructure
Governments in
Australia, China making
large investments in
digital systems,
ar)ficial intelligence
(inside/outside health).
-Collabora8on
Becoming the Norm
Partnerships between
pharma, hospitals,
and other players
helping to increase
tech and innova)on
capabili)es.
Scope Momentum
Connections
$
Investments
The number of digital and emerging technology-related social
posts, news headlines and full text articles collected via
DigiHealth Informer during Q3 2017. Quarterly digihealth impact
trac reports highlight companies, trends, technologies and
markets that received significant attention.
574,107+33% from Q2 2017
*Between 70-80 percent of DigiHealth Informer data is focused on health and medical innovation. Non-health data on
mobile, virtual reality, blockchain and other sectors is tracked to monitor their evolution and potential impact on health.
Source: Enspektos, LLC
digihealth impact trac | Q3 2017 | published october 4, 2017

10. 10
What was the breadth of innovation focus
(diseases, technology areas)?
Scope
Technology Major Themes Related to Technology Area
(Referenced in Ar8cles Collected During Q3 2017)
Mobile/Mobile Health • The use of mobile apps to manage chronic disease
• Apps for addic)on treatment
• Physicians want mobile tools that improve efficiency and pa)ent safety
Big Data • Data analy)cs is driving precision medicine and disease diagnosis
• Data helping insurers to quan)fy risk, rise of wearable-generated data
Social Media • Millennials’ use of social media is shaping physician interac)ons and
self-diagnosis ac)vity
• Social media is a core part of health analy)cs and is powering predic)ve
health and medicine
Electronic Health Records • Challenges of EHR adop)on in low-resource seTngs
• Use of blockchain and other technologies to improve EHR data quality
Ar8ficial Intelligence • The use of AI-powered virtual assistants to aid disease diagnosis,
engagement and treatment of mental health condi)ons
• How AI is being incorporated into numerous digital and emerging
technology innova)ons in health (mainly machine learning)
Virtual Reality • The use of virtual reality technologies in mental health, specifically to help
manage anxiety, PTSD, depression, au)sm and other condi)ons
Top Referenced Technologies: Q3 2017
Below are insights about the most discussed and referenced technologies in the digital
health online literature during Q3 2017, along with major themes associated with each.
To perform this analysis, a search of full text articles collected between July 1 and September 30, 2017 in the
DigiHealth Informer database was conducted using the search terms “digital health” (and top technology areas).
Source: Enspektos, LLC
digihealth impact trac | Q3 2017 | published october 4, 2017
Ecosystem Analysis

11. 11
What was the breadth of innovation focus
(diseases, technology areas)?
Scope
Disease/Condi8on Top Technologies Being Used for Disease Management/Diagnosis
(Referenced in Ar8cles Collected During Q3 2017)
Diabetes 1. Mobile/Smartphones
2. Wearables
3. Adherence Technologies (Includes reminders, virtual assistants, etc.)
Cancer 1. Precision Medicine
2. Big Data
3. Mobile/Smartphones
4. Wearables
Aging 1. Mobile
2. Sensors
3. Adherence Technologies (Includes medica)on management so[ware)
4. Wearables
5. Ar)ficial Intelligence
Asthma 1. Adherence Technologies (includes connected inhalers)
2. Mobile
3. Digital Therapeu)cs
Depression 1. Internet
2. Big Data
3. Social Media
4. Video Games
5. Mobile
Top Referenced Diseases/Conditions: Q3 2017
Below is a listing of the most discussed and referenced diseases or conditions in the
digital health online literature during Q3 2017. Also provided is information about which
digital and emerging technologies are being used to manage or diagnose these
conditions.
To perform this analysis, we conducted a search of full text articles in the DigiHealth Informer database, using the search
term “digital health” (and top diseases/conditions), collected between July 1 and September 30, 2017.
Source: Enspektos, LLC
digihealth impact trac | Q3 2017 | published october 4, 2017
Ecosystem Analysis

12. 12
What was the breadth of innovation focus
(diseases, technology areas)?
Scope
Innovation Impact Snapshot: Depression, Cancer, Diabetes
Below are examples of how mobile, data analytics and video games
are benefiting people with diabetes, cancer and depression.
Examples were referenced in articles published during Q3 2017.
Video Games for
Depression?
UCSF’s Neuroscape Lab
has been conducting
clinical research on
whether and how video
games can treat a variety
of cognitive conditions,
including depression, for
more than a decade.
This research is being
pursued in the hopes of
developing video game-
powered digital
therapeutics that can be
prescribed by doctors.
To locate these examples, we conducted a search of full text articles in the DigiHealth Informer database
using the search terms “digital health,” [disease name] and [technology name] between July 1 and September 30, 2017.
Mobile + Human
Coaching for Diabetes
Prevention.
Developed by Singapore-
based startup, Holmusk,
the mobile app Glycoleap
uses interactive coaching
from certified dietitians
and other tools to help
prevent Type 2 diabetes.
In beta testing, 64% of
users lost weight. The
app also aims to help
users reduce HbA1c by .5
to 1%, equivalent to
medication. It is currently
being tested at
Singapore’s Tampines
Polyclinic.
Big Data: Can Google
Searches Predict
Cancer Rates?
A study published in the
September 2017 edition
of JAMA Dermatology
indicates that data from
Google searches may
predict cancer diagnosis
and death rates.
According to the study:
“Google search volume
correlated with cancer
incidence rates in 5 of 8
commonly diagnosed
cancers … and correlated
with cancer mortality
rates in 4 of those 5
cancers.”
Source: Enspektos, LLC
digihealth impact trac | Q3 2017 | published october 4, 2017
Ecosystem Analysis

13. 13
Where was innovation activity centered globally?
Momentum
The map at the left shows the top
referenced countries in articles
focusing on digital health collected by
DigiHealth Informer during Q3 2017.
While the U.S. is still the global center
of health activity, innovation efforts
continue to accelerate in Europe and
Asia.
Below are some of the themes
that attracted discussion and attention
during Q3 in key global health markets.
Top Referenced Geographic Locations in Articles Related
to Digital Health: Q3 2017
Country Key Country-Related Digital Health Themes: Q3 2017
United Kingdom
• £86 million in funding could help firms develop novel
technologies for NHS
Germany
• Research indicates Germans growing increasingly comfortable
with mobile health apps. Majori)es willing to consider therapy
changes suggested via mobile, donate mobile data for research
Finland
• Regional digital health innova)ons being deployed na)onally as
Finland’s health digi)za)on efforts accelerate
China
• China could drive overall digital health adop)on due to
widespread smartphone use and comfort with digital payments
India
• India-Israel “Innova)on Bridge” launches to forge bilateral
coopera)on in a range of areas, including digital health
Australia
• Na)onal Digital Health Strategy approved by health ministers,
which outlines path toward adop)on of digital technologies
Source: Enspektos, LLC
Source: Enspektos, LLC
digihealth impact trac | Q3 2017 | published october 4, 2017
Ecosystem Analysis

14. 14
Where was government-sponsored innovation investment being directed?
Where were companies and investors focusing financial resources?
$
Investments
Regional investors step up
The U.S. still attracts the majority of digital
health investment dollars. But, regional
investors in Europe, India and other locations
are becoming more assertive. Below are a few
notable Q3 2017 investments illustrating the
geographic diversity of digital health funding.
New South Wales Invests in Digital Health
The state government will spend more than
$500 million (Australian) dollars to digitalize
patient records, improve medication
management and more.
The funds will be spent over eight years with
nearly half going toward electronic medical
records and medication reconciliation systems.
Governments investing in
digital health infrastructure
China’s Big Bet on Artificial Intelligence
China plans to take a leadership role in the fast-
moving artificial intelligence sector by 2025.
According to the government’s national AI
development plan, it seeks to grow AI-related
industries to over 150 billion yuan. Health is a
major area of focus.
Company Amount Focus Region
$25 M
Fitness/
Wellness India
$26 M
Consults
(Digital) United
Kingdom
$30 M
Genomic
Research India
$30 M
Gene)c
Diagnosis Switzerland
$18.3 M
Brain-
Machine
Interface
United
States
Funding activity accessed via search of social posts/news
headlines added to the DigiHealth Informer database between
July 1 and September 30, 2017. Keywords: Raise, funding,
invest.
Source: Enspektos, LLC
digihealth impact trac | Q3 2017 | published october 4, 2017
Ecosystem Analysis

15. 15
Where were health organizations, startups, technology firms
and others forging partnerships and collaborations?
Connections
Sample Sanofi Partnerships
Sanofi’s collaboration efforts are representative of how health
industry players are partnering to drive research, achieve key
business objectives and more. A few of Sanofi’s partnerships
(reported during Q3 2017) appear in the DigiHealth Informer
Innovation Map below.
Several years ago, pharma,
payers, hospitals and others were
likely to decide that building
technology products in-house was
the best strategy. Today, this has
changed. In 2017, and continuing
during Q3, there are indications that
health industry players view
collaborations and partnerships as
the best path toward overcoming
significant business obstacles and
proving the benefits of digital
interventions on health outcomes.
Four collaborations featured
prominently in news and social
media during Q3 are summarized
below.
Partnerships help industry
players acquire know-how
and achieve key goals.
Partners Goals
CVS + Cleveland Clinic Crea)ng popula)on health and medica)on management programs.
Novo Nordisk + Glooko Launched integrated app to improve diabetes management.
Mayo Clinic + AliveCor Developing AI-powered cardiology tool to detect deadly Long QT syndrome
GlaxoSmithKline + Propeller Health Expanded exis)ng connected inhaler collabora)on.
Partnership activity accessed via search of social posts/news headlines added to the DigiHealth Informer database July 1 to Sept. 30, 2017.
Source: Enspektos, LLC
digihealth impact trac | Q3 2017 | published october 4, 2017
Ecosystem Analysis

16. The trends presented in
this report represent only
the tip of the digital
health iceberg. Want to
understand the market
forces impacting your
product, service,
company or industry?
Here’s how.
16
Scope Momentum
$
InvestmentsConnections
Health Technology Ecosystem
Analysis Method: 4 Areas of Focus
What Next: Access Personalized Analysis & Insights
Data in this report is from Digihealth
Informer, a unique platform that allows
you to access critical market data in
seconds — rather than days — while
doubling your productivity.
Interested in understanding how and why
these trends matter to your company,
sub-sector and more? Get in contact to
book a customized and insightful
digihealth impact trac live talk.
digihealth impact trac | Q3 2017 | published october 4, 2017
Learn More & Request Demo Book Speaking Engagement

17. About Enspektos and the
Digital Health Maven Project
17
Enspektos is a globally respected innovation consultancy.
Founded in 2005, Enspektos delivers technology, strategy, analysis and non-obvious
insights to executives, entrepreneurs, health professionals, government officials and
others globally focused on using digital and emerging technologies to re-shape health.
Learn more about Enspektos at www.enspektos.com.
A global initiative supporting and accelerating digital innovation in health.
Founded in 2014 by Enspektos, the Digital Health Maven Project delivers research,
education, events, training and more to support digital innovation in health. To date, the
project’s outputs have reached and benefited more than 35,000 people globally. Learn
more about the Project at www.digitalhealthmaven.com.
digihealth impact trac | Q3 2017 | published october 4, 2017

18. Digital Health Definition: Enspektos defines digital
health as the use of multiple technologies (software,
analytics, genomics, devices, etc.) to track, improve,
support and modify health. Key digital health
technology centers include mobile, social media, Big
Data and wearables.
Data Sources: Insights featured in this report are
based on publicly available social and news data
published during Q3 2017 and Q3 2016.
Data Reliability: Enspektos makes every effort to
ensure that data is from reliable and reputable online
sources. However, we cannot warrant the ultimate
reliability and validity of data obtained via our
automated data collection and processing techniques.
Use of Data: This report is provided for informational
purposes and was prepared in good faith on the basis
of public information available at the time of
publication without independent verification.
Enspektos does not guarantee or warrant the reliability
or completeness of the data nor its usefulness in
achieving any particular purposes. Enspektos shall not
be liable for any loss, damage, cost or expense
incurred by reason of any persons use or reliance on
this report. This report is a proprietary aggregation of
publicly available data and shall not be reproduced
without the written consent of Enspektos, LLC.
Learn more about Enspektos at www.enspektos.com.
Additional Notes
®