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

Identification and Functional Analysis of Probiotic Bacterial Surface Associated Proteins in Preventing Enteropathogenic Infections
Identification and Functional Analysis of Probiotic Bacterial Surface Associated Proteins in Preventing Enteropathogenic Infections
Effect of Environmental Factors on Klebsiella Biofilm Formation
Effect of Environmental Factors on Klebsiella Biofilm Formation
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Development of a Real-time, Process Control Method Based on Neural Network Model Using Feedback of Weld Pool Geometric Parameters Measured by a Vision-based Technique and Experimental Verification for Automated Arc Welding Processes
Online Labs (OLabs) for School Lab Experiments – Interactive Simulations
Online Labs (OLabs) for School Lab Experiments – Interactive Simulations
Computational and Experimental Investigations on a combined vibration absorber energy harvester system.
Computational and Experimental Investigations on a combined vibration absorber energy harvester system.
Admissions Apply Now