Harnessing the
Disruptive
Value of Mobile Data
and Analytics in
Diabetes Care
Anand K. Iyer, PhD, MBA
Chief Data Science O...
Today’s Presentation
• Context: Defining and Framing “Big Data”
• Extracting Disruptive Value from Data: What’s
Achievable...
BIG Data: It’s Everywhere!
• Everything we do
(as persons and
“things”) is
increasingly leaving
a digital signal or
“trace...
Sources and Attributes of Traces
• Traces with “People”
– Lifestyle
– Health
– Psycho-social
– Socio-economic
– Genomic
• ...
Putting Volume and Velocity in Context!
130 422 1,227
2,720
7,910
35,000
2005 2008 2010 2012 2015 2020
Exabytes
1 EB = 1,0...
Right Data
Right Person/Thing
Right Place
Right Time
Extracting Value from Big Data Requires
Connectivity and …
©2009-15 A...
Data
Information
Knowledge
Actions
Outcomes
S-M-A-RT
Specific. Measurable. Actionable. Real-Time
… Context: … Easier Said ...
What Kinds of Value can be Realized?
• Mean-logistics response time (MLRT) for readiness drivers in the
US military supply...
Overarching Objectives for Big Data
• Unlock insight into “discovering what we don’t know”
• Precisely understand people a...
Source: www.diabetes.org, American Diabetes Association, August 1 2014
©2009-15 Anand K. Iyer & Associates, LLC and WellDo...
Source: www.diabetes.org, American Diabetes Association, August 1 2014
©2009-15 Anand K. Iyer & Associates, LLC and WellDo...
India is not Immune to this Problem …
 In urban areas, where there is better ability to pay for healthcare services and w...
India’s Diabetes Realities
• Inadequate infrastructure
– 0.59 doctors per 1000 population (global norm 2.25)
• Limited rei...
©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellD...
©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellD...
Patient Coach
• Personalized, real-time
coaching
• Testing and medications
reminders
• Out of bounds alerts
• Metabolic ta...
Data Capture Frequency
Data
Capture Source
Patient
Non-Patient (e.g., 3rd
party, system, etc.)
Low
(~Static)
High
(~Dynami...
Discover
Using known data to
draw insights
• Patterns
• Discriminant
functions
• Behaviors
Inform
Presenting primary
analy...
What This Means for Patients
Data Information Knowledge Action
•Blood glucose
•Blood pressure
•Medications
•Symptoms
•Life...
20
Patented Clinical & Behavioral Engine
So What Did Big Data Achieve for Us?
©2009-15 Anand K. Iyer & Associates, LLC and...
Cartoon by Harley Schwadron via kaiserhealthnews.org
The Future? BIG Data has a BIG Role!
©2009-15 Anand K. Iyer & Associa...
©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellD...
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NASSCOM Big Data and Analytics Summit 2015:Session VIII:Real Time Analytics as a disruptor

Real Time Analytics as a disruptor by Dr Anand Iyer, Chief Data Scientist, WellDoc for NASSCOM Big Data and Analytics Summit 2015
Published on: Mar 3, 2016
Published in: Presentations & Public Speaking      
Source: www.slideshare.net


Transcripts - NASSCOM Big Data and Analytics Summit 2015:Session VIII:Real Time Analytics as a disruptor

  • 1. Harnessing the Disruptive Value of Mobile Data and Analytics in Diabetes Care Anand K. Iyer, PhD, MBA Chief Data Science Officer, WellDoc Past President and COO, WellDoc NASSCOM Big Data Analytics 2015 Hyderabad, India June 26, 2015 ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 2. Today’s Presentation • Context: Defining and Framing “Big Data” • Extracting Disruptive Value from Data: What’s Achievable? • Case Study: “Mobile Prescription Therapy” for Type 2 Diabetes • Questions and Panel Discussion ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 3. BIG Data: It’s Everywhere! • Everything we do (as persons and “things”) is increasingly leaving a digital signal or “trace” • These “traces” can be collected, organized, cleansed and analyzed to extract value ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 4. Sources and Attributes of Traces • Traces with “People” – Lifestyle – Health – Psycho-social – Socio-economic – Genomic • “Traces with IoT” – Signature – Physical – Environmental – Security – Configuration 4 V’s: Volume, Variety, Velocity, Veracity* (+ Anand’s 5th: Value!) *Source: Bernard Marr ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 5. Putting Volume and Velocity in Context! 130 422 1,227 2,720 7,910 35,000 2005 2008 2010 2012 2015 2020 Exabytes 1 EB = 1,000,000,000,000,000,000B = 1018 bytes = 1,000,000,000 gigabytes The amount of data is growing 40 TIMES faster than the world population Source: 2012 Rock Health Big Data in Digital Health Report ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 6. Right Data Right Person/Thing Right Place Right Time Extracting Value from Big Data Requires Connectivity and … ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 7. Data Information Knowledge Actions Outcomes S-M-A-RT Specific. Measurable. Actionable. Real-Time … Context: … Easier Said Than Done! ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 8. What Kinds of Value can be Realized? • Mean-logistics response time (MLRT) for readiness drivers in the US military supply chain – Pre-wireless, no ITV: 23 days in-theater distribution – Post-wireless, ITV: 3.5 days in Balad, Bagram Air Base • In-building energy efficiency*: – 38% reduction in annual, in-building energy cost from $2.42/ft2 to $1.64/ft2 • Public safety response (US)* – ~40 min command & control setup to ~6 min – Derivative value: $128B potential savings in annual deaths, injuries, property damage *Sources: In-building Wireless Alliance, www.ibwa.org, US Army G4 and Army Materiel Command) ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 9. Overarching Objectives for Big Data • Unlock insight into “discovering what we don’t know” • Precisely understand people and “HumEx” • Enable a “Hubble-like” view to optimize business process • Transform public safety and security • Pave a path for eco-sustainability • Transform health outcomes and economics Simply put, we have an opportunity with big data to Inform, Discover, Extrapolate and Adapt ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 10. Source: www.diabetes.org, American Diabetes Association, August 1 2014 ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their
  • 11. Source: www.diabetes.org, American Diabetes Association, August 1 2014 ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 12. India is not Immune to this Problem …  In urban areas, where there is better ability to pay for healthcare services and where higher diagnosis rates are likely, cases of type 2 diabetes are estimated to increase substantially from 30.5 million in 2010 to 49.9 million in 2020. This is due to an increase in urbanization rates as well as an increase in diabetes risk factors associated with urbanization, mainly obesity  In rural areas, however, the number of diabetics will increase at a slower rate compared to changes in urban areas due to lower risk factors and demographic transition from rural to urban populations. ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 13. India’s Diabetes Realities • Inadequate infrastructure – 0.59 doctors per 1000 population (global norm 2.25) • Limited reimbursement – 70% of total population incur out-of-pocket expenditures¹ • Under-investment in public healthcare – Public sector spending 0.9% of GDP • Uneven access to care – Only 24% of rural areas have a health facility of some form² • Low level of diabetes awareness & knowledge – 20% of adults do not know “diabetes” • Low affordability among middle & low income population – 98% of households at <$13K annual income Source(s): 1. Frost & Sullivan Report 2. National Commission on MacroEconomics and Health, 2014 ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 14. ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 15. ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 16. Patient Coach • Personalized, real-time coaching • Testing and medications reminders • Out of bounds alerts • Metabolic target ranges Social Engagement • Family and community connectivity • Caregiver alerts and support Clinical Decision Support • Outcomes-based support • EMR/EHR integration • Clinical analysis and trends • Patient stratification • Population managementAutomated Expert Analytic System™ • Cloud-based analytics • Evidence-based guidelines • Predictive modeling • Longitudinal tracking • Event/alert tracking ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 17. Data Capture Frequency Data Capture Source Patient Non-Patient (e.g., 3rd party, system, etc.) Low (~Static) High (~Dynamic) • System-generated KPI’s, alerts, trends • System and feature- level utilization data • Absence of data • Physiologic data • Symptom data • Lifestyle data • Medication data • Registration data (e.g., demographics, medication history, daily regimen, etc.) • Psycho-social data (health literacy, cultural, social, etc.) • Labs and screenings • Evidence-based guidelines • Medication regimen • Metabolic targets and ranges • Clinical rules • Physician instructions Expanding Breadth and Depth of Data … ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 18. Discover Using known data to draw insights • Patterns • Discriminant functions • Behaviors Inform Presenting primary analyses of the data • Engagement or usage data • Clinical value data • Population data Extrapolate Using existing data to model patterns and predict future occurrence of events • Probabilistic models • Machine learning based models Data Presence Analysis Intent “Don’t Know What I’m Looking For” “Know What I’m Looking For” “Have Data” “Don’t Have Data” Adapt Using learning techniques to provide new insights and choices for optimizing outcomes • New product features • New service features IDEA! … and the Value we can Extract from it ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 19. What This Means for Patients Data Information Knowledge Action •Blood glucose •Blood pressure •Medications •Symptoms •Lifestyle •Social •Daily BG patterns •Weekly test patterns •Dynamic cohorts •What works •What doesn’t •Correlation: BG to x •Causation: Closed form mathematical models •Prediction: Hypo, hyper, med adherence •Coaching, alerting •Prevention •CDSS for providers ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 20. 20 Patented Clinical & Behavioral Engine So What Did Big Data Achieve for Us? ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 21. Cartoon by Harley Schwadron via kaiserhealthnews.org The Future? BIG Data has a BIG Role! ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.
  • 22. ©2009-15 Anand K. Iyer & Associates, LLC and WellDoc, Inc.. WellDoc and the logos associated therewith and all other WellDoc marks contained herein are trademarks of WellDoc. All other marks contained herein are the property of their respective owners.

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