Vator Splash Health, Wellness & Wearables 2017
A presentation on the Vator conference in San Francisco, CA. Perhaps one of my favorite conference series in health tech featuring many perspectives: tech, insurance, genomics, behavioral health, diagnostics, devices and more.
2. +
Vator Splash Health, Wellness &
Wearables
March 23, 2017
San Francisco, CA
Vator brings together startup companies, angel investors and
others interested in entrepreneurship.
Conferences in Los Angeles and San Francisco
Featured healthcare startup pitches, angels, VC’s,
entrepreneurs, etc.
Tsahia Hobson @Tsahia
4. +
Why Digital Health?
Digital health is the
convergence of digital
and genomic
technologies with
health, healthcare,
living, and society to
enhance the efficiency
of healthcare delivery
and make medicines
more personalized
and precise.
Tsahia Hobson @Tsahia
6. +
The Future of Health & Medicine
Digital Medicine
Precision Medicine
Nanomedicine
Genomics
Artificial Intelligence
Connected Health
Machine Learning
Augmented Reality
Proactive Medicine not Episodic
& Reactive Medicine
Internet of Medical Things IoMT
/ IoT – Internet of Things
Disrupt where healthcare
happens At home
From Analytics to
Predictalytics
Tsahia Hobson @Tsahia
8. +
Healthcare is not a Science
Problem it’s an Information
Problem
- Thomas Goetz
Tsahia Hobson @Tsahia
9. +
Interoperablity & How do we Assess
all of this Data?
Clinical Data
Device Data
Imaging Data
Genomics Data
Immunoprofiling Data
Amazon Echo, Google Home,
IBM Watson
Chatbots – AI (Facebook, Vida)
Behavior change through
incentives (payers & pharma)
Empowered patient
Clinicians monitoring patient
data & actionable insights
FICO Score/Wellness Score
Mobile technology & IoMT
Types of Data Digital Health Technology
Tsahia Hobson @Tsahia
10. +
GrandRounds – Scaling Data
Patients
Employers
Providers
Grand Rounds combines world-class
medicine, consumer technology and
data science to make high-quality
care accessible to all of your
employees. More than expert
opinions, Grand Rounds delivers
measurably better outcomes and ROI
throughout the care cycle.
Tsahia Hobson @Tsahia
11. +
Staying human while
becoming immortal
Capture 60-70% of major risks for
cancer and heart disease.
Remote devices and monitoring will
impact the field of medicine.
Physicians consider it wrong to do
tests on “healthy” people when 1 in 40
are not healthy.
Definition of health hasn’t changed
since the Middle Ages –
Predicting disease through MRI
Imaging & Genomics
Muscle Mass a good predictor of how
well you’ll age
Tsahia Hobson @Tsahia
14. +
Bigfoot Biomedical
Founders son was diagnosed
with Type 1 Diabetes.
Best that the world had to offer
was ”pretty appalling”
PCPs treating this disease and
too few endocrinologists.
The phone is the most impactful
human/machine interface.
Challenges are Security &
Hacking
Class 3 medical device –
investors say it’s too risky.
Tsahia Hobson @Tsahia
15. +
Wellness as a Service
How do the pieces fit together?
Tsahia Hobson @Tsahia
16. +
Startup Trends – Healthcare Coaching &
Humans
Omada Health
Vida Health
Welltok
BigHealth
Tsahia Hobson @Tsahia
17. + Health Coaching for Behavior
Change
Vida Health – Pick your health goals, coaching style, and availability—and
we will instantly match you with Vida coaches that can best help and
support you. Select a coach, then schedule a time for a comprehensive
health consultation over phone or video.
Omada – We help employers and health plans tackle chronic disease in
the most engaging, effective, and scalable way possible.
Welltok – Optimizing Health, Maximizing Rewards. Using data to create a
more personalized health experience for the individual. Tested with IBM
Watson – ask questions, get answers, the AI gets smarter. #complex
BigHealth & Sleepio – Evidence based behavioral therapies with a focus
on mental health, automating and making therapies scalable and as
effective as drugs. Using sleep as a marker to predict other health
conditions.
We need AI but we still need humans.
Tsahia Hobson @Tsahia
18. +
Is this just data techy stuff?
Social determinants of health
Claims data – trends and analysis
Shopping patterns – using consumer data mixed with clinical data to
predict health outcomes
Voting behavior
Age - Older individuals are having better outcomes (Omada Health)
Literacy skills
Type of Insurance
Language & Ethnicity
Companies are looking at clinical data but other stuff
too.
Tsahia Hobson @Tsahia
20. +
Orphidia
(Device – Soon)
Integrated Microfluidics
Platform
Lab-grade Performance at the
Micro Scale
Tsahia Hobson @Tsahia
21. +
Catalia Health with Mabu (her)
Pharmaceuticals – Optimized Outcomes
Healthcare Systems – Care Continuation
Assisted Living – Being There
Machine Learning - She provides
tailored conversations to each patient
that evolve over time.
Data Data Data!!
Tsahia Hobson @Tsahia
22. +
Amicomed
(Service)
Italian company
Digital platform (algorithms) that empowers
people to master their BP, and increase
physician quality of care.
Data is self-recorded and interventions are
personalized based on data.
Combination of BP monitoring & personalized
lifestyle intervention.
Tsahia Hobson @Tsahia
24. +
Blumio
Runner Up!
Cuffless continuous blood
pressure monitor that sits
passively on the upper arm
(better than wrist).
Measures Pulse Wave Velocity,
sensor uses radiowaves to
detect BP on a beat to beat
basis.
A new set of Intellectual
Property – they are developing
their sensory device
Blumio cuff is as accurate as
traditional ambulatory cuff
Testing at UCSF to prepare for
FDA filing - 2018 launch
Aims to replace all ambulatory
blood pressure monitoring
systems.
Target Market: patients who have
had a serious cardiac event,
pregnant women at risk for
hypertension and people who are
occasionally hypertensive.
Features What’s Next?
Tsahia Hobson @Tsahia
25. +
Iris Plans
Winner!
Iris Plans offers discussions with a
facilitator in your home, through video
conferencing and online tools.
We help you create a plan that guides
important, complex decisions.
We securely distribute your plan and
official documents to anyone who needs it,
including loved ones and your doctors.
Tsahia Hobson @Tsahia
Data being collected by healthcare companies – tech, hospital, physician – incentives ex 10,000 steps then $20 off insurance.
Nanotechnology is the engineering of functional systems at the molecular scale.
The Internet of Medical Things (IoMT) is the collection of medical devices and applications that connect to healthcare IT systems through online computer networks.
Examples of IoMT include remote patient monitoring of people with chronic or long-term conditions; tracking patient medication orders and the location of patients admitted to hospitals; and patients' wearable mHealth devices, which can send information to caregivers. Infusion pumps that connect to analytics dashboards and hospital beds rigged with sensors that measure patients' vital signs are medical devices that can be converted to or deployed as IoMT technology.
Breathables/ Nanonoses – picking up disease
Sleep’ables– Track sleep
Hearables – not just for music
Protect’ables – Wearable airbag
At APDM Wearable Technology we offer solutions for measuring and tracking movement disorders such as Parkinson's Disease, Ataxia, and Multiple Sclerosis.
Immunoprofiling Data - TCell Counts
http://rf-design.co.za/will-internet-medical-things-change-healthcare/
Fireside Keynote - Staying human while becoming immortal; A baby born today can expect to live twice as long as one born in the 19th century. We’ve come a long way. But will building the biggest database of genotypes and phenotypes to understand age-related diseases help us to live longer? When will we become the ageless generation and what are the economic and social implications? Steve Jurvetson (Partner, DFJ) and J. Craig Venter, PhD (Co–Founder and Executive Chairman, Human Longevity, Inc)
Tried to predict what Chelsea Handler with DR. Venter would look like as an adult from her teenage photos. Also predicted that she would weigh 166 pounds, her response was F U. But then he mentioned she did not live up to her genomic potential.
We need consumer devices for real people – not enough to put a label or sticker on it.
Know why patients missed a dose, Track Care continuation, Patients with Alzheimers