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

Machine interfa

ced

with th

e engine.

Interactive

visualiza

tions.

Stored on cloud.

Personalized

suggestions.

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 TestSystem

System Architecture 3

CLIENT ARCHITECTURE

Core Features 4

WHAT WE HAVE TO OFFER

Real-time monitoring

Personalized Analytics

ML models for researchActionable Insights

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GENERAL ANALYTICSTest trends for a large population over multiple-demographics.

PROVIDER ANALYTICSSales insights and estimates for future demands.

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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?