Page 7 - Pulse@FOM Issue 2/2018

BRIDGING HEALTH AND ICT TO
CONNECT IMPROVE HEALTHCARE: THE
UNIVERSITY OF MALAYA EHEALTH
THE WORLD INITIATIVE (UMEHI)

NG CHIRK JENN & TEO CHIN HAI
DEPARTMENT OF PRIMARY CARE MEDICINE

The Education track focuses on using ICT to
deliver accessible and effective training for
The University of Malaya eHealth Initiative medical students, postgraduate trainees, and
(UMeHI) was established in April 2017 and is healthcare professionals. In February 2018, the
hosted under the Faculty of Medicine, with the UMeHI conducted a workshop on ‘Design and
Faculty of Computer Science and Information implementation of effective technology-enhanced
Technology (FCSIT) as its key partner. The UMeHI learning solutions for medical education’ which
aims to use information and communications was
was led by Associate Professor Dr Sunhea Choi, an
technology (ICT) to improve healthcare for patients instructional design expert from the University of
and the community. The UMeHI team, comprising Southampton.
and
researchers, healthcare professionals, computer
scientists and industry representatives, aims to The third aim of the UMeHI is to improve
work together to provide effective, sustainable and clinical service delivery using ICT. The UMeHI
innovative solutions to address real world works closely with the University of Malaya
healthcare challenges. Medical Centre’s (UMMC) IT Department to create
a research data management system to support
The Initiative targets three domains: research and improve patient care using the
Research, Education and Clinical Services. Under electronic medical record (EMR) system.
the Research track, the UMeHI conducts Additionall
Additionally, the UMeHI is also developing other
bi-monthly journal clubs to update researchers on tools to enhance clinical service delivery. For
current eHealth trends and share ideas. The UMeHI instance, a pre-consultation patient agenda
also conducts regular workshops to train system and an evidence retrieval system have
researchers in eHealth, such as using software to been developed to facilitate doctors in finding out
analyse their patient’s agenda, and to empower clinicians
analyse big data involving machine learning
(artificial intelligence). to practise evidence-based medicine.

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