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HEALTH-CARE
ANALYTICAL ENGINE
GRAND CHALLENGES
◉ EMR systems are merely functioning as Cloud storage.
There is more to data than that !
◉ Data repositories like data.gov.in provide stats which are
1-10 years old.
◉ Whatever little “healthcare” analytics exists for financial
aspects catering to a small percent of the population.
◉ US $150 billion health-care industry lagging behind in the
live-feed era of the twitter and facebook ?
INTRODUCTION
◉ Our aim is to address the grand challenges and try to solve
real world problems benefitting millions of patients,
clinicians and researchers.
◉ To provide personalized health-care analytics and build it
scalable for larger demographics.
◉ Deliver insights in Real-time leading to actionable
decisions.
The PROBLEM
1
“-- giving information to people in a
form that doesn’t just educate them
or inform them, but actually leads
them to make better decisions, better
choices..
- Thomas Goetz ( co-founder @ Iodine)
Why do we need this ?
Paper based inconsistent
medical records.
Non-compliance to doctor’s
advice is a long standing
problem.
Time required is more. Researchers rely on
years old data.
The BIG Concept
2
OUR SOLUTION
Insights for PATIENTS
● Medical history insights
● Realtime alerts
● Personalized suggestions
Stats for HEALTHCARE PROVIDERS
● Test trend overviews
● Financial Overviews
● Sales estimates
To create a health-care analytical engine with following features : -
Analytics for RESEARCHERS
● Multi-demographic filters
● Realtime monitoring
● Scalable over large
population
SYSTEM PROCESS FLOW
Real-time monitoring and
updates provided.
Analysis & Rendering
Suggestions based on user
history provided to the
patients.
Feedbacks
Cleaning the data and filtering for various
purposes.
Data retrieval and
cleaning
Provider conducts the test
and reports are generated
Lab Test
System
System Architecture
3
CLIENT ARCHITECTURE
Core Features
4
WHAT WE HAVE TO OFFER
Real-time monitoring
Personalized Analytics
ML models for researchActionable Insights
Place your screenshot here
GENERAL ANALYTICS
Test trends for a large
population over multiple-
demographics.
PROVIDER ANALYTICS
Sales insights and estimates for
future demands.
Place your screenshot here
INTUITIVE VISUALIZATIONS
CONCLUSION
◉ Health-care data presents many unexplored analytics
possibilities.
◉ Analysis of patients medical history and larger
demographics can invoke life-saving responsive actions
from the users.
◉ Real-time analytics is the need of the hour in the healthcare
world where timely actions can save millions of lives.
THANKS!
Any questions?

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HealthCare Analytical Engine

  • 2. GRAND CHALLENGES ◉ EMR systems are merely functioning as Cloud storage. There is more to data than that ! ◉ Data repositories like data.gov.in provide stats which are 1-10 years old. ◉ Whatever little “healthcare” analytics exists for financial aspects catering to a small percent of the population. ◉ US $150 billion health-care industry lagging behind in the live-feed era of the twitter and facebook ?
  • 3. INTRODUCTION ◉ Our aim is to address the grand challenges and try to solve real world problems benefitting millions of patients, clinicians and researchers. ◉ To provide personalized health-care analytics and build it scalable for larger demographics. ◉ Deliver insights in Real-time leading to actionable decisions.
  • 5. “-- giving information to people in a form that doesn’t just educate them or inform them, but actually leads them to make better decisions, better choices.. - Thomas Goetz ( co-founder @ Iodine)
  • 6. Why do we need this ? Paper based inconsistent medical records. Non-compliance to doctor’s advice is a long standing problem. Time required is more. Researchers rely on years old data.
  • 7.
  • 9. OUR SOLUTION Insights for PATIENTS ● Medical history insights ● Realtime alerts ● Personalized suggestions Stats for HEALTHCARE PROVIDERS ● Test trend overviews ● Financial Overviews ● Sales estimates To create a health-care analytical engine with following features : - Analytics for RESEARCHERS ● Multi-demographic filters ● Realtime monitoring ● Scalable over large population
  • 10. SYSTEM PROCESS FLOW Real-time monitoring and updates provided. Analysis & Rendering Suggestions based on user history provided to the patients. Feedbacks Cleaning the data and filtering for various purposes. Data retrieval and cleaning Provider conducts the test and reports are generated Lab Test System
  • 14. WHAT WE HAVE TO OFFER Real-time monitoring Personalized Analytics ML models for researchActionable Insights
  • 15. Place your screenshot here GENERAL ANALYTICS Test trends for a large population over multiple- demographics.
  • 16. PROVIDER ANALYTICS Sales insights and estimates for future demands. Place your screenshot here
  • 18. CONCLUSION ◉ Health-care data presents many unexplored analytics possibilities. ◉ Analysis of patients medical history and larger demographics can invoke life-saving responsive actions from the users. ◉ Real-time analytics is the need of the hour in the healthcare world where timely actions can save millions of lives.

Editor's Notes

  1. So the crux of it comes down to this notion of decision-making -- giving information to people in a form that doesn't just educate them or inform them, but actually leads them to make better decisions, better choices in their lives.