Page 15 - ASYMPTOMATIC COVID-19 QUARANTINE DIGITAL SOLUTION: A PROOF-OF-CONCEPT STUDY (NMRR-20-2761-57684)

ASYMPTOMATIC COVID-19 QUARANTINE DIGITAL SOLUTION: A PROOF-OF-CONCEPT
STUDY
15

7. Bysol International Sdn.Bhd

8. Hayysoft Systems Pte. Ltd
9. Microsoft Malaysia

CODIQ-My, which incorporates the internet-of-medical-things (IoMT) and artificial

intelligence (AI) aimed to assist the healthcare professionals to monitor the

quarantined patients safely in real-time.

This solution uses a biosensor to measure important vital parameters such as
temperature, heart rate and oxygen saturation level. The mobile application (currently

developed for Android OS (Operating System)) with inbuilt identity verification using

AI and location-based technology will transmit the acquired information from both
biosensor and mobile application to data centre hosted in NIH. For the purpose of

automation and machine learning processing, cloud computing is utilized and
presented on a web application allowing the healthcare providers to monitor these

patients both individually and regionally (Figure 1). A robust architecture using API
was developed using best practices in cybersecurity and abiding to the MOH ICT ver

5.0 regulation.

Figure 1: CODIQ-My architecture demonstrating the end-to-end process

TECHNICAL REPORT

DIGITAL HEALTH RESEARCH AND INNOVATION

INSTITUTE FOR CLINICAL RESEARCH
NATIONAL INSTITUTES OF HEALTH