GE HealthHack
1409 Registered
Allowed team size:
1 - 4
1409 Registered
Allowed team size:
1 - 4
Winners are announced.
idea phase
Online
starts on:
Dec 28, 2016, 03:30 PM ()
ends on:
Jan 29, 2017, 06:25 PM ()
Winners
Winner
Winner
Winner
Overview
To view the shortlisted teams, please click here!
At GE Healthcare, our vision involves looking at Healthcare in a completely new way - focusing on earlier, pre-symptomatic disease detection and prevention, instead of late diagnosis - helping clinicians access more information and intervene sooner with targeted treatments so their patients can lead longer, fuller lives. As a global leader, GE brings together the best in science, technology, business and human resources to redefine the frontiers of healthcare.
GE Healthcare provides transformational medical technologies and services to meet the demand for increased access, enhanced quality and more affordable healthcare around the world.
Each country has unique challenges when it comes to healthcare requirements. In India, the primary focus is on affordability and accessibility of healthcare to all. For over 2 decades GE Healthcare has been innovating and making in India to enhance affordability and access of healthcare solutions.
GE Healthcare is focusing on some of the toughest healthcare challenges faced by India today – from lowering maternal and infant deaths to improving access for highly trained medical professionals, especially in rural areas.
Participate in this Hackathon and join our mission to take high-quality, affordable technology to the people who need it the most.
Themes
Problem Statement 1: Video Content Analytics (VCA)
VCA (Video content analysis) is the capability of automatically analyzing video to detect and determine temporal and spatial events. This project requires development of VCA algorithm which can be integrated with our existing Tele-ICU solutions.
For the problem statement, Click: here.
For reference images, Click: here.
Problem Statement 2: Contextual Care Protocol
Lack of access to quality clinical care close to the patient’s homes is the major cause for medical problems being detected late and having bad clinical outcomes. This is true for maternal care as well. This project aims to model a standardized care protocol as a decision tree/forest or neural net, to guide the clinical personnel in the Primary Health Centers across India, on the decision process.
For the problem statement, Click: here.
Problem Statement 3: Contextual Training Platform
This platform intends to help healthcare providers with context specific, on the job training to upskill their expertise on relevant disease patterns thus enabling them to provide quality care to patients on time.
For the problem statement, Click: here.
Prizes INR INR 4,00,000 in prizes
Main Prizes
Winner
INR 1,00,000
Winner
INR 1,00,000
Winner
INR 1,00,000
Help & Support
Please contact event admin
sunil harry at sunil.harry@ge.com
sunil harry at sunil.harry@ge.com
