Page 12 - CATALOG RMIC

DARS- A Novel Methodology Smart Engine
to determine the Triage Setting and
priority level for patients with chronic
heart failures “Big-Data” over
Telemedicine Environment.

Dr. Aos Alaa Zaidan Naser Khalid Dr. Omar Hussain aws.alaa@fskik.upsi.edu.my
Bilal Bahaa Zaidan Dr. Mashitoh Hashim Dr. Modi Lakulu PI 2016000801

SILVER - ITEX 2016

This product can rank patients according to their triage
settings and priority levels. Thescalable “i.e maintain
the Big-Data” and useful during disasters and
peak-time. The triage and priority engine receive
inputs data “i.e medical sensors, as well as the text
frame sources” of patients with chronic heart failures
and evaluate their conditions by following the
standard medical guidelines. The output of triage and
priority engine is a patient ranking where the highest
ranking patient is the most emergent case and needs
more medical intention. The proposed engine has
been designed and developed based on the
integration between BFAWC and TOPSIS methods.

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