Page 129 - Special Topic Session (STS) - Volume 2

STS466 Md. Khadzir S.A. et al.

MyHarmony: Generating statistics from clinical
text for monitoring clinical quality indicators
1
Md. Khadzir Sheikh Ahmad , Mohd Syazrin Mohd Sakri , ‘Ismat Mohd
1
1
1
2
Sulaiman , Syirahaniza Mohd Salleh , Dickson Lukose , Omar Ismail , Abd
1
3
3
Aziz Latip , Muhammad Aiman Mazlan
1 Health Informatics Centre, Planning Division, Ministry of Health, Malaysia
2 GCS Agile Pty. Ltd.
3 MIMOS Bhd.
Abstract
The Ministry of Health developed MyHarmony with MIMOS Bhd. as part of the
Malaysian Health Data Warehouse (MyHDW) initiative. MyHDW aims to be a
trusted source of truth of comprehensive health data structured for analysis.
MyHarmony fulfills that criteria by enabling data and information from
unstructured form to be mined, such as texts, images, and sound.
MyHarmony's first deliverable is the ability to mine clinical texts using Natural
Language Processing (NLP) with SNOMED CT as its knowledge-base of clinical
terms. MyHarmony is the engine the retrieves data and information into
computer processable form by assigning SNOMED CT codes, which can then
be further analysed statistically. MyHarmony is able to recognise and
harmonise different terms that means the same. It also understands context
for a more accurate coding; such as negations (no, not known, unknown) and
conditionals (past history, symptoms of, previous). Using SNOMED CT,
MyHarmony's ability is further advanced by using subsumption technique for
a more comprehensive statistical results. This study will present a use case
where clinical text from anonymized hospital discharge summaries can
generate clinical indicators using MyHarmony for health managers. An added
benefit to the operational (hospital) staff is the ability to produce such
indicators is an efficient and timely manner by reducing workload for data
collection and submission. MyHarmony could be the new and improved way
to provide important statistical measures for evidence-based health planning,
leading to improved healthcare services and health as a whole.

Keywords
MyHarmony; MyHDW; Text mining; Quality Indicators; SNOMED CT

1. Introduction
The Ministry of Health developed MyHarmony with MIMOS Bhd. as part
of the Malaysian Health Data Warehouse (MyHDW) initiative. MyHDW aims to
be a trusted source of truth of comprehensive health data structured for
analysis. MyHarmony is an application in the Malaysian Health Data
Warehouse (MyHDW) that aims to analyse semi-structured and unstructured

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