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Moving from Idea to Impact:
the Emergence of mHealth 2.0
Luca M. Sergio
Managing Partner,
Ethis HealthTech, LLC
+1-201-744-3364
LSergio@EthisHealthTech.com
Twitter: @lmsergio
LinkedIn: www.linkedin.com/in/lmsergio/
how did I first come to mHealth?
•  Catalyst and
commercialization of Topcon
Medical’s EyeRoute Synergy
mini-PACS system
•  1st mHealth platform for
ophthalmology
•  Your diagnostic images,
anytime, anywhere
•  Now assisting mHealth
companies with
commercialization
what makes up mHealth?
mHealth begins & ends with the patient
PATIENT
Data
App
Developers
Health
Social
Networks
Mobile
Sensor
Mfgs
Patient
Portals
RHIOs
Hospitals
HIEs CMS
Device
Mfgs FDA / CE
Pharma
EHR
EMR
PACS
RIS
Payers–
morphing
into svc
providers
MD
Associations
ACOs
Individual
Providers
what is so exciting today?
• Smartphones everywhere
• Increasing EMR adoption
• Focus on quality of care
• Consumerization of healthcare
is happening now
• Personalization of care
emerging
• New opportunities for
collaborative care
• Current healthcare spending is
out of control
• Care must be doctor and
patient driven
why mHealth 2.0?
mHealth 1.0 was an app for an app’s sake
What is mHealth 2.0?
•  Marshaling data across silos to effect
behavioral change
•  Closing behavioral loops with actionable data,
involving both doctor and patient
•  Intelligent systems to handle the data deluge
why mHealth 2.0?
Where should we apply it?
Chronic diseases:
•  Obesity
•  Hypertension
•  Diabetes
•  Chronic heart failure
•  Chronic obstructive
pulmonary disease
(>80% of US healthcare
spending)
why mHealth 2.0?
How should we apply it?
•  Greater personalization of
medicine
•  Move beyond fitness tracking into
medically accurate, pervasive
sensors
•  The medical home, medication
adherence, collaborative
communications, and care plan
adherence
•  Focus on giving a sense of control
to the patient
•  Fill the gap between fitness
tracking and in-hospital care
why mHealth 2.0?
What is needed to make this happen?
•  A unifying catalyst
•  A player who enables behavioral change by
cementing a connection between patient and
doctor
•  A player who combines sensors, with
standards, with cloud systems, with fun and
compelling UI/UX
questions to remember: how can mHealth…
1. Improve patients’ lives?
2. Enable doctors to profit?
3. Create efficient “systems
of care”?
4. Foster partnerships
between doctors and
payers to create patient
value?
essentials for the patient
Self care
information, but
connected to
valued partner:
the MD
24/7 access to
providers
Easily closing
compliance loop
for MD care
instructions
Smart,
contextual,
actionable
alerts
Seamless
communication
with broader
EHR systems
Passive sensors
should fade into
the background
essentials for the doctor
Instantaneous
view of patient
Mobilized, easy
workflow
Closing patient
compliance loops
Collaborative
communication
Minimizing
office visits
Freeing-up of
time to focus on
overall care
ecosystem today
Patients
•  Consumerization is
driving the overall
transformation
•  Expectation of
“anytime, anywhere,
any device”
•  Need to move beyond
annual / episodic check-
ups
•  Self-monitoring and
management
•  Demanding new dialog
with MD
Doctors
•  Less time than before
•  Changing
reimbursement models
•  Focus on quality of care
•  Need to have greater
insight into patient
outside of office
•  Fearful of change
•  Not yet aligned with
consumer driven health,
but soon…
Hospital
Systems
•  Consolidations with
disparate IT systems
•  Competition to offer
services
•  Managing tremendous
info complexity
•  Focused on reducing
readmissions
ecosystem today
Payers
•  Emergence of Payer /
Provider systems (Kaiser
Permanente)
•  Emergence of value-
based care
•  Difficult for Payers to
add patient value
•  Open to new technology
solutions to drive quality
or cost
•  Morphing into service
providers (United
Healthcare, Aetna,
Cigna, Wellpoint)
Big Pharma
•  Medication adherence
•  Initial focus on
educational apps
•  Large budgets, but
constrained by
regulatory agencies
(FDA)
•  Some focus on
improperly prescribed
medications
Tech
Players
•  Initial focus on apps &
fitness sensors
•  Realization that tech
alone is insufficient:
must build services
•  Many copy-cat sensor
companies, but few that
close an important
patient loop or integrate
into broader HealthIT
system
•  Many players ignorant of
standards and
integration requirements
ecosystem today
Government
•  Affordable Care Act
•  Meaningful Use Stage 2
•  ICD-10 coding
•  New FDA Guidance on
mHealth
•  Proposed SOFTWARE Act
in Congress
•  Blue Button Initiative
•  HIPAA Omnibus Rule
•  Studies emerging (VA
and NHS in UK)
evidencing cost
reductions via mHealth
Finance & Exits
•  Health IT VC funding
topped $737M in Q3
2013
•  AthenaHealth’s
acquisition of ePocrates
for $293M in Q1 2013
•  Basis smartwatch
received $11.5M and
celebrity advisors
Deepak Chopra and
Esther Dyson
Other Players
•  mHIMSS
•  mHealth Alliance
•  The Clinton Health
Matters Initiative and
Wellable (wellness
incentive company)
•  Johns Hopkins Global
Health Initiative
barriers to widespread adoption
MD apathy
Tension between
MD & ePatient
Lack of
interoperability
with existing
Health IT
systems
Reimbursement/
business
models/
nonalignment of
incentives
Need for
medical
relevance &
accuracy
Poor
signal-to-noise
ratio because of
data overload
problems to avoid
Sensors not easy
to integrate into
consumers’ lives
Sensors & apps
not easily
feeding data to
doctors
Non HIPAA
compliance
(data privacy)
Wasting time
to learn a
nonintuitive
interface
Adding
complexity to
MD workflow
Creation of
new data silos
future trends
delivery of
care:
  Home health
care/remote
patient
monitoring
  Pharmaceutical
adherence
  Reduction of
hospital
readmissions
  Explicit cloud
services linked to
Mayo Clinics…
tech itself:
  Sensors
everywhere
(wearable,
ingestible,
implantable)
  Wearables in the
operating room
  Middleware cloud
systems to
integrate
disparate data
silos
doctors:
  MDs will have still
less time
  Collaborative
care will become
essential (also
with patient)
  Clinical education
support systems
  Intelligence
dashboards (just
essential info)
future trends for patients
Overall: shifting
of monitoring
and action into
autopilot
Easy sending of
factual summaries
to doctors from
our devices (small
data)
Ongoing
communication
with providers,
outside of
hospital
Easy sending of
actions taken
with intelligent
alarming to MDs
Easy access to
detailed health
records
Personal
genomics
how to realize the vision?
via technology:
  Own the
communications
on-ramps
  Build a better
data highway
  Essential apps in
smartphones
(medical image
viewer, secure
communications)
  Novel sensors
via
partnerships:
  Tie into Payer
systems (cost
reduction +
member benefits)
  Establish mHealth
innovation centers
in NYC and San
Diego
  Empower certain
ePatient groups–
PatientsLikeMe.com
via services:
  Tech alone is not
enough
  A choke point:
data systems
integration
  Medically
accurate sensors
with smart alert
cloud platform to
avoid data deluge
how to realize the vision? – the consumer
general consumer requirements:
•  Provide truly actionable intelligence without reminder
fatigue
•  Be demographically appropriate
•  Sensors, apps, cloud, and wireless communications
need to work 99.9% of the time
•  A fun, compelling UI/UX
•  Incorporate elements from behavioral psychology
•  Facilitate secure, encrypted, HIPAA compliant
conversation
•  Make the technology “disappear”
how to realize the vision? – the consumer
medical problems to address:
•  Obesity
•  Hypertension
•  Diabetes
•  Chronic heart failure
•  Chronic obstructive pulmonary disease
•  Adherence to medication
how to realize the vision? – the consumer
points of consumer data interaction:
•  Creation of personalized health plans with EHR
integration and lab results (going beyond patient
portals)
•  Sharing of electronic data
•  Self monitoring/documentation
•  Remote patient monitoring (diagnostics, Rx
compliance)
•  Secure communication with healthcare providers
•  Provider “prescribed” educational materials
•  Self education on symptoms
how to realize the vision? – the consumer
wearables:
•  Easy, elegant, unobtrusive, and doesn’t necessitate 12
clicks
•  Differentiate via medical accuracy of sensors
•  Sell not only via retail/online, but also MDs, health clubs,
corporate environments (“I lost my husband to Fitbit…”)
•  If MD is paid based on how a patient performs post-
discharge, he’ll slap a wearable monitor on his wrist…
•  Data analysts to help make sense of the tide of small
data
•  Insurance premium reductions for good behavior
mHealth 2.0: making an impact
The future will lie in aggregation of data from multiple
sensors, analyzed and re-expressed as actionable insights for
consumer behavioral change.
Open question: who can own both the most interesting
sensors, in the most compelling and easy-to-use form factor,
and then who can gather, store, analyze and share/integrate
the data, incorporating a patient feedback loop?
Luca M. Sergio
Managing Partner,
Ethis HealthTech, LLC
+1-201-744-3364
LSergio@EthisHealthTech.com
Twitter: @lmsergio
LinkedIn: www.linkedin.com/in/lmsergio/

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Moving from idea to impact the emergence of m health 2.0

  • 1.
  • 2. Moving from Idea to Impact: the Emergence of mHealth 2.0 Luca M. Sergio Managing Partner, Ethis HealthTech, LLC +1-201-744-3364 LSergio@EthisHealthTech.com Twitter: @lmsergio LinkedIn: www.linkedin.com/in/lmsergio/
  • 3. how did I first come to mHealth? •  Catalyst and commercialization of Topcon Medical’s EyeRoute Synergy mini-PACS system •  1st mHealth platform for ophthalmology •  Your diagnostic images, anytime, anywhere •  Now assisting mHealth companies with commercialization
  • 4. what makes up mHealth?
  • 5. mHealth begins & ends with the patient PATIENT Data App Developers Health Social Networks Mobile Sensor Mfgs Patient Portals RHIOs Hospitals HIEs CMS Device Mfgs FDA / CE Pharma EHR EMR PACS RIS Payers– morphing into svc providers MD Associations ACOs Individual Providers
  • 6. what is so exciting today? • Smartphones everywhere • Increasing EMR adoption • Focus on quality of care • Consumerization of healthcare is happening now • Personalization of care emerging • New opportunities for collaborative care • Current healthcare spending is out of control • Care must be doctor and patient driven
  • 7. why mHealth 2.0? mHealth 1.0 was an app for an app’s sake What is mHealth 2.0? •  Marshaling data across silos to effect behavioral change •  Closing behavioral loops with actionable data, involving both doctor and patient •  Intelligent systems to handle the data deluge
  • 8. why mHealth 2.0? Where should we apply it? Chronic diseases: •  Obesity •  Hypertension •  Diabetes •  Chronic heart failure •  Chronic obstructive pulmonary disease (>80% of US healthcare spending)
  • 9. why mHealth 2.0? How should we apply it? •  Greater personalization of medicine •  Move beyond fitness tracking into medically accurate, pervasive sensors •  The medical home, medication adherence, collaborative communications, and care plan adherence •  Focus on giving a sense of control to the patient •  Fill the gap between fitness tracking and in-hospital care
  • 10. why mHealth 2.0? What is needed to make this happen? •  A unifying catalyst •  A player who enables behavioral change by cementing a connection between patient and doctor •  A player who combines sensors, with standards, with cloud systems, with fun and compelling UI/UX
  • 11. questions to remember: how can mHealth… 1. Improve patients’ lives? 2. Enable doctors to profit? 3. Create efficient “systems of care”? 4. Foster partnerships between doctors and payers to create patient value?
  • 12. essentials for the patient Self care information, but connected to valued partner: the MD 24/7 access to providers Easily closing compliance loop for MD care instructions Smart, contextual, actionable alerts Seamless communication with broader EHR systems Passive sensors should fade into the background
  • 13. essentials for the doctor Instantaneous view of patient Mobilized, easy workflow Closing patient compliance loops Collaborative communication Minimizing office visits Freeing-up of time to focus on overall care
  • 14. ecosystem today Patients •  Consumerization is driving the overall transformation •  Expectation of “anytime, anywhere, any device” •  Need to move beyond annual / episodic check- ups •  Self-monitoring and management •  Demanding new dialog with MD Doctors •  Less time than before •  Changing reimbursement models •  Focus on quality of care •  Need to have greater insight into patient outside of office •  Fearful of change •  Not yet aligned with consumer driven health, but soon… Hospital Systems •  Consolidations with disparate IT systems •  Competition to offer services •  Managing tremendous info complexity •  Focused on reducing readmissions
  • 15. ecosystem today Payers •  Emergence of Payer / Provider systems (Kaiser Permanente) •  Emergence of value- based care •  Difficult for Payers to add patient value •  Open to new technology solutions to drive quality or cost •  Morphing into service providers (United Healthcare, Aetna, Cigna, Wellpoint) Big Pharma •  Medication adherence •  Initial focus on educational apps •  Large budgets, but constrained by regulatory agencies (FDA) •  Some focus on improperly prescribed medications Tech Players •  Initial focus on apps & fitness sensors •  Realization that tech alone is insufficient: must build services •  Many copy-cat sensor companies, but few that close an important patient loop or integrate into broader HealthIT system •  Many players ignorant of standards and integration requirements
  • 16. ecosystem today Government •  Affordable Care Act •  Meaningful Use Stage 2 •  ICD-10 coding •  New FDA Guidance on mHealth •  Proposed SOFTWARE Act in Congress •  Blue Button Initiative •  HIPAA Omnibus Rule •  Studies emerging (VA and NHS in UK) evidencing cost reductions via mHealth Finance & Exits •  Health IT VC funding topped $737M in Q3 2013 •  AthenaHealth’s acquisition of ePocrates for $293M in Q1 2013 •  Basis smartwatch received $11.5M and celebrity advisors Deepak Chopra and Esther Dyson Other Players •  mHIMSS •  mHealth Alliance •  The Clinton Health Matters Initiative and Wellable (wellness incentive company) •  Johns Hopkins Global Health Initiative
  • 17. barriers to widespread adoption MD apathy Tension between MD & ePatient Lack of interoperability with existing Health IT systems Reimbursement/ business models/ nonalignment of incentives Need for medical relevance & accuracy Poor signal-to-noise ratio because of data overload
  • 18. problems to avoid Sensors not easy to integrate into consumers’ lives Sensors & apps not easily feeding data to doctors Non HIPAA compliance (data privacy) Wasting time to learn a nonintuitive interface Adding complexity to MD workflow Creation of new data silos
  • 19. future trends delivery of care:   Home health care/remote patient monitoring   Pharmaceutical adherence   Reduction of hospital readmissions   Explicit cloud services linked to Mayo Clinics… tech itself:   Sensors everywhere (wearable, ingestible, implantable)   Wearables in the operating room   Middleware cloud systems to integrate disparate data silos doctors:   MDs will have still less time   Collaborative care will become essential (also with patient)   Clinical education support systems   Intelligence dashboards (just essential info)
  • 20. future trends for patients Overall: shifting of monitoring and action into autopilot Easy sending of factual summaries to doctors from our devices (small data) Ongoing communication with providers, outside of hospital Easy sending of actions taken with intelligent alarming to MDs Easy access to detailed health records Personal genomics
  • 21. how to realize the vision? via technology:   Own the communications on-ramps   Build a better data highway   Essential apps in smartphones (medical image viewer, secure communications)   Novel sensors via partnerships:   Tie into Payer systems (cost reduction + member benefits)   Establish mHealth innovation centers in NYC and San Diego   Empower certain ePatient groups– PatientsLikeMe.com via services:   Tech alone is not enough   A choke point: data systems integration   Medically accurate sensors with smart alert cloud platform to avoid data deluge
  • 22. how to realize the vision? – the consumer general consumer requirements: •  Provide truly actionable intelligence without reminder fatigue •  Be demographically appropriate •  Sensors, apps, cloud, and wireless communications need to work 99.9% of the time •  A fun, compelling UI/UX •  Incorporate elements from behavioral psychology •  Facilitate secure, encrypted, HIPAA compliant conversation •  Make the technology “disappear”
  • 23. how to realize the vision? – the consumer medical problems to address: •  Obesity •  Hypertension •  Diabetes •  Chronic heart failure •  Chronic obstructive pulmonary disease •  Adherence to medication
  • 24. how to realize the vision? – the consumer points of consumer data interaction: •  Creation of personalized health plans with EHR integration and lab results (going beyond patient portals) •  Sharing of electronic data •  Self monitoring/documentation •  Remote patient monitoring (diagnostics, Rx compliance) •  Secure communication with healthcare providers •  Provider “prescribed” educational materials •  Self education on symptoms
  • 25. how to realize the vision? – the consumer wearables: •  Easy, elegant, unobtrusive, and doesn’t necessitate 12 clicks •  Differentiate via medical accuracy of sensors •  Sell not only via retail/online, but also MDs, health clubs, corporate environments (“I lost my husband to Fitbit…”) •  If MD is paid based on how a patient performs post- discharge, he’ll slap a wearable monitor on his wrist… •  Data analysts to help make sense of the tide of small data •  Insurance premium reductions for good behavior
  • 26. mHealth 2.0: making an impact The future will lie in aggregation of data from multiple sensors, analyzed and re-expressed as actionable insights for consumer behavioral change. Open question: who can own both the most interesting sensors, in the most compelling and easy-to-use form factor, and then who can gather, store, analyze and share/integrate the data, incorporating a patient feedback loop? Luca M. Sergio Managing Partner, Ethis HealthTech, LLC +1-201-744-3364 LSergio@EthisHealthTech.com Twitter: @lmsergio LinkedIn: www.linkedin.com/in/lmsergio/