Back close

Digital Shiksha for Advanced Clinical Learning

Start Date:  July, 2022

Project Incharge : Dr. Romita Jinachandran, Dr. Prema Nedungadi, Dr. Sanjeev Singh

Amrita Collaborators : Dr. Sandhya Harikumar, Dr. Raghu Raman, Dr. (Col) Vishal Marwaha, Dr. George Mathews, Dr. Gireesh Kumar

School :  School of Computing, School of Business, School of Medicine

Center : AmritaCREATE

Funded by : USAID, RISE

Implementation Partner : jhpiego

Digital Shiksha for Advanced Clinical Learning

The Covid-19 pandemic exposed the gaps in advanced medical care training. DiShA is a platform designed and developed by CREATE. This project addresses the gaps by developing a medical simulation platform with virtual patient cases for critical care, the first in India. It is a part of Reaching, Impact Saturation and Epidemic Control (RISE), a global project funded by the U.S. Agency for International Development (USAID) and implemented by Jhpiego (John Hopkins affiliate). The project will be a joint effort between Amrita CREATE, School of Computing Amritapuri, School of Business Amritapuri, and School of Medicine Kochi.

Some of the highlights of the platform include:

  • Impact of VR technology in Critical Care
  • Accelerates learning curve by replicating real-life clinical emergencies
  • Fast tracks capacity building in trained health care providers to develop rapid skill development
  • Context-specific solutions that address competency-gaps in different roles (clinicians, nurses & technicians)
  • Identify appropriate and timely usage of existing facilities in critical care medicine
A Preview of the RISE Online Platform

Funders and Collaborator

Funded by:

Development and Implementation Partner:

Related Projects

Development of New and Efficient Photo Sensitizer for Dye Solar Cell
Development of New and Efficient Photo Sensitizer for Dye Solar Cell
Controlled Drug Delivery Studies of Biological Macromolecules: Sodium Alginate and Lignosulphonic Acid Films
Controlled Drug Delivery Studies of Biological Macromolecules: Sodium Alginate and Lignosulphonic Acid Films
Multi-User Detection in Sporadic 3GPP Massive M2M Communication via Compressed Sensing
Multi-User Detection in Sporadic 3GPP Massive M2M Communication via Compressed Sensing
GEL-IoT: Geospatially Enabled Learning approaches for Intelligent IoT based water quality monitoring
GEL-IoT: Geospatially Enabled Learning approaches for Intelligent IoT based water quality monitoring
Impact of Board Characteristics on Firm Performance: A Comparison of Private Sector Firms with SOEs in India
Impact of Board Characteristics on Firm Performance: A Comparison of Private Sector Firms with SOEs in India
Admissions Apply Now