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Reimagine the Future
of data in Healthcare
Dr. Prateek Mahalwar
Twitter: @MahalwarPrateek
Neurodegenerative
disease
Something else ?
Parkinson’s ?
What are the indications that he is improving ?
Diagnosis & Treatment
Indication driven
Based on features
Pill / treatment focus
One dosage for everyone
Limited patient engagement
Trials data
Pill Driven Treatment
PARK9 Kufor-
Rakeb Syndrome
• Atypical Parkinson’s disease
with dementia, spasticity,
and other problems
• Complex phenotype that
would mostly mistaken for
early-onset or classical
parkinsonism
DNA
Sequencing
Diagnosis Using Eye Movements
100.000 movements / Day
Human Genome Sequencing
Genome Seq. In 2019 : €169
ChronoMarkers
@BodyTime
Real World Data
Digital Biomarkers
Unbundled sensors
Mood
Smart contact lenses
Smart shoes
Sensor-embedded clothing
“Band Aid”-like sensors
Smart tattoos
Physical activity
Blood sugar levels
Blood sugar levels
Breathing and sleeping pattern
Cardiac activity, skin
temperature, and step count
Augmented reality glasses
Smart jewelry
Cyber pills
Implantable monitors
Implantable chips
Physical activity and
sleeping pattern
Vital signs tracking
Cardiac activity
Blood tests
Drug-body interaction
Accelerometer
Motion coprocessor
Heart rate monitor
Pedometer
Light-sensitive
photodiodes
Physical activity
Physical activity
Heart rate
Physical activity
Solar radiation tracking
Social media
Gamification
Cognitive
function
Smart pill
bottle
Adherence
In-house motion
sensors
Movement patterns
Microphone
GPS
Gyroscope
CameraMobile-device
based sensors
Spatial orientation
Mood
Physical activity
Daily activity
Device based
sensors
ECG With Apple Watch Series 4
Will Detect A Widespread Disease
Like Diabetes
Low blood glucose Neuropathy Hypertension
Diabetes
H2
by Htwo
Care (In-
market)
Smart Socks
by Researchers at
the Fraunhofer
Institute in
Germany (In-
development)
Traditiona
l BP
monitor
Associated
symptoms and
comorbidities
Relevant clinical
manifestations
PeriodicContinuous
diagnosismonitoring
RequiresCanbedone
hospitaladmitanywhere
Monitoring
technologies and
diagnostic tools
Smart
lenses
by Novartis
and Google’s
Verily (In-
development
)
Smart
patches
by Abbott
(In-market)
Wearable
sweat
sensors
by Eccrine
Systems (In-
development)
Obesity
Smart scale
with app
by Withings
(In-market)
Finger prick test Analog and
digital
weighing scale
Filament test,
Nerve conduction
studies, EMG
Traditional
tools
Latest
tools
Using iphone
camera hormone
mentoring by
Researchers at the
Fraunhofer Institute
in Germany
Traditiona
l lab test
Glucose
levels in
sweat
Glucose
Levels in
beneath-the-
skin fluids
Insufficient
pressure of blood
in an area
Blood
pressure
Glucose
levels in
tears
Weight, BMI
and fat mass
Hormone
monitering
Cognitive Behavioral Threapy
Generic treatment for
all range of patients
Stratification based
medicine & treatments
Individualized
therapy
Adverse
effect
NO
effect
Positive
effect
From
Individual patient
level:
• Immuno-therapy
• Gene-therapy
• Cell-therapy
• RNA vaccine
• Genomics
• Mircobiome
Immunotherapy based on biomarkers
Personalized treatment – where
group of patients get benefited
with specific medicine based on
various stratification
To
Many PD-1 positive patients are
not responding or responding very
slow
Analyze RWD to develop novel therapies,
markers and understand risk associated
with them
Cancer Immunothreapy
DNA Data As Currency
Blockchain Will Tranform
Healthcare
Care EverywhereConsumerism
I will seek out
the best tools/
products for
helping memanage ALL of my
health in a cost
effective manner.
I want the best
information
about my
diagnosis and
treatment
options at my
fingertips.
I will use social
media to access
transparent and
affordable health
care.
I want to alleviate
my suffering and
the suffering of
loved ones.
I want to be cared
for in a place that is
convenient for me.
I want to be
treated as a
whole person not
for a condition
.
Empowered consumer behavior
Connected Health
I want managing
care to be
convenient, and
low effort, with
lots of guidance
that is just right
for me.
I want information
about my health
captured in a
non-disruptive,
non-invasive way.
I expect the
standard of care
to be consistent
with what is best
for ME!
Personalized Care
I am the owner
and gatekeeper
of multi-faceted
health data set.
Data as health currency
Health Experiences of Tomorrow
Health insights on demandCare beyond the hospital walls
Health
Experiences
of Tomorrow
Gadgets listening to the
voice inside your head
CRISPR
‘‘ Due to increase in
global population to
9.7* billion by 2050
and increasing
innovation in
technology like
Artificial Intelligence
healthcare ecosystem
drives investments
towards personalized
treatments, disease
prevention & health
promotion ’’
Digital &
Technology
Supply chain
&
Operations
Virtual meeting
with doctors
Healthy
workplace
Security,
Compliance &
Governance
Future
Ecosystem
Silver
economy &
Innovation
Workplace &
Workforce
Better
questions
better
working world
* Prediction data by WEF
Outcomes driven treatment
Based on prevention
Not only treatment but mgmt. as well
Value driven
Full patient engagement
Real world data
Future is Data based
Dr. Prateek Mahalwar
Prateek.mahalwar@de.ey.com
+4916093918789
Thanks !

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Big Data Berlin 2019 v.17 | Reimagine the Future of Data in Healthcare | Dr. Prateek Mahalwaar | Manager at EY I and Board member at Max Planck Alumni Association

  • 1. Reimagine the Future of data in Healthcare Dr. Prateek Mahalwar Twitter: @MahalwarPrateek
  • 3. Something else ? Parkinson’s ? What are the indications that he is improving ? Diagnosis & Treatment
  • 4. Indication driven Based on features Pill / treatment focus One dosage for everyone Limited patient engagement Trials data Pill Driven Treatment
  • 5. PARK9 Kufor- Rakeb Syndrome • Atypical Parkinson’s disease with dementia, spasticity, and other problems • Complex phenotype that would mostly mistaken for early-onset or classical parkinsonism DNA Sequencing
  • 6. Diagnosis Using Eye Movements 100.000 movements / Day
  • 7.
  • 8.
  • 10. Genome Seq. In 2019 : €169
  • 11.
  • 13.
  • 15. Digital Biomarkers Unbundled sensors Mood Smart contact lenses Smart shoes Sensor-embedded clothing “Band Aid”-like sensors Smart tattoos Physical activity Blood sugar levels Blood sugar levels Breathing and sleeping pattern Cardiac activity, skin temperature, and step count Augmented reality glasses Smart jewelry Cyber pills Implantable monitors Implantable chips Physical activity and sleeping pattern Vital signs tracking Cardiac activity Blood tests Drug-body interaction Accelerometer Motion coprocessor Heart rate monitor Pedometer Light-sensitive photodiodes Physical activity Physical activity Heart rate Physical activity Solar radiation tracking Social media Gamification Cognitive function Smart pill bottle Adherence In-house motion sensors Movement patterns Microphone GPS Gyroscope CameraMobile-device based sensors Spatial orientation Mood Physical activity Daily activity Device based sensors
  • 16. ECG With Apple Watch Series 4
  • 17. Will Detect A Widespread Disease Like Diabetes Low blood glucose Neuropathy Hypertension Diabetes H2 by Htwo Care (In- market) Smart Socks by Researchers at the Fraunhofer Institute in Germany (In- development) Traditiona l BP monitor Associated symptoms and comorbidities Relevant clinical manifestations PeriodicContinuous diagnosismonitoring RequiresCanbedone hospitaladmitanywhere Monitoring technologies and diagnostic tools Smart lenses by Novartis and Google’s Verily (In- development ) Smart patches by Abbott (In-market) Wearable sweat sensors by Eccrine Systems (In- development) Obesity Smart scale with app by Withings (In-market) Finger prick test Analog and digital weighing scale Filament test, Nerve conduction studies, EMG Traditional tools Latest tools Using iphone camera hormone mentoring by Researchers at the Fraunhofer Institute in Germany Traditiona l lab test Glucose levels in sweat Glucose Levels in beneath-the- skin fluids Insufficient pressure of blood in an area Blood pressure Glucose levels in tears Weight, BMI and fat mass Hormone monitering
  • 19. Generic treatment for all range of patients Stratification based medicine & treatments Individualized therapy Adverse effect NO effect Positive effect From Individual patient level: • Immuno-therapy • Gene-therapy • Cell-therapy • RNA vaccine • Genomics • Mircobiome Immunotherapy based on biomarkers Personalized treatment – where group of patients get benefited with specific medicine based on various stratification To Many PD-1 positive patients are not responding or responding very slow Analyze RWD to develop novel therapies, markers and understand risk associated with them Cancer Immunothreapy
  • 20. DNA Data As Currency
  • 22. Care EverywhereConsumerism I will seek out the best tools/ products for helping memanage ALL of my health in a cost effective manner. I want the best information about my diagnosis and treatment options at my fingertips. I will use social media to access transparent and affordable health care. I want to alleviate my suffering and the suffering of loved ones. I want to be cared for in a place that is convenient for me. I want to be treated as a whole person not for a condition . Empowered consumer behavior Connected Health I want managing care to be convenient, and low effort, with lots of guidance that is just right for me. I want information about my health captured in a non-disruptive, non-invasive way. I expect the standard of care to be consistent with what is best for ME! Personalized Care I am the owner and gatekeeper of multi-faceted health data set. Data as health currency Health Experiences of Tomorrow Health insights on demandCare beyond the hospital walls
  • 24. Gadgets listening to the voice inside your head CRISPR
  • 25. ‘‘ Due to increase in global population to 9.7* billion by 2050 and increasing innovation in technology like Artificial Intelligence healthcare ecosystem drives investments towards personalized treatments, disease prevention & health promotion ’’ Digital & Technology Supply chain & Operations Virtual meeting with doctors Healthy workplace Security, Compliance & Governance Future Ecosystem Silver economy & Innovation Workplace & Workforce Better questions better working world * Prediction data by WEF
  • 26. Outcomes driven treatment Based on prevention Not only treatment but mgmt. as well Value driven Full patient engagement Real world data Future is Data based