- This solution aims to significantly reduce the risk of exposure to healthcare workers
- BEL has developed the Proof of Concept (PoC) model of a system integrating non-invasive health monitoring sensors to measure critical parameters
Navratna Defence PSU Bharat Electronics Limited (BEL) has teamed up with All India Institute of Medical Sciences (AIIMS)-Rishikesh to develop a health monitoring system to remotely assess the health of COVID-19 suspects/patients quarantined in homes and hospitals. This solution aims to significantly reduce the risk of exposure to healthcare workers. It is expected to reduce the increasing demand for personal protective equipment (PPE) and other logistics.
Integrating non-invasive health monitoring sensors
The need to develop a solution to remotely monitor patients for limiting exposure of healthcare workers is urgent to face the COVID-19 pandemic. For this, BEL and AIIMS have joined hands to provide a comprehensive digital and clinically appropriate solution.
Based on inputs given by AIIMS-Rishikesh, BEL has developed the Proof of Concept (PoC) model of a system integrating non-invasive health monitoring sensors to measure critical parameters. These include temperature, pulse rate, SPO2 (Saturated Oxygen level) and respiration rate. BEL has also networked these sensors for remotely monitoring the critical parameters.
A mobile app / web browser has been developed for people to get enrolled with AIIMS-Rishikesh once they show symptoms of COVID-19. AIIMS will study patient complaints and a health monitoring kit will be handed over to the patient for periodical monitoring of the critical parameters based on the assessment by clinical experts.
Command & Control Centre (CCC) on Cloud
Patient health parameters, along with patient location, are uploaded on a regular basis on to a centralised Command & Control Centre (CCC) on Cloud. It will be done using either the patient’s mobile phone or integral GSM SIM. The Software will give out alerts in the form of messages to medical officers and health care workers when the health parameters will exceed the threshold. It will also record the severity of the patient’s condition in different colour codes.
Data analytics software of the CCC will also graphically map the geo-distribution of COVID-19 suspects/patients in the state. It will help the hospital administration to visualise the hot spots and take necessary action to isolate and shut off these areas to check the spread the virus.
