Page 134 - Special Topic Session (STS) - Volume 2

STS466 Md. Khadzir S.A. et al.
codified data, which may impact the resulting analysis in an inconsistent way.
The team are also seeking international experience for this matter.

Other challenges include researching a more efficient and effective
method to develop SNOMED CT Refsets. The initial method by referencing
terms required by registries or indicators has been established. However,
expanding the SNOMED CT Refsets to include relevant terms for a specific
clinical specialty or domain needs to be refined further. Eye-balling technique
to search the entire SNOMED CT content have its strength and weaknesses.
Even though it is a very thorough method, there are possibilities of missed
terms and very time consuming. Despite these challenges, the journey in
developing MyHarmony and the lessons learnt has allowed the team to refine
the methods and processes to expand the use of MyHarmony to other clinical
specialties.
Analysis from unstructured data would hope to complement analysis from
structured data (like census and registries), with the additional benefit
workload reduction to provide timelier, trusted, and dynamic information.

References
1. SNOMED CT Simple Reference Set:
https://confluence.ihtsdotools.org/display/DOCRFSPG/5.1.+Simple+Ref
erence+Set

2. Mohd Sulaiman I, Sheikh Ahmad MK. SNOMED CT Cardiology
Reference Set Development, Malaysia. Proceedings of the SNOMED CT
Implementation Showcase [Internet]. Amsterdam: IHTSDO; 2014.
Retrieved from:
http://ihtsdo.org/fileadmin/user_upload/doc/showcase/show14/Snome
dCtShowcase2014_Abstract_14058.pdf
3. Abdul Manaf NA, Mohamed K, Lukose D. Harmonizing EHR Databases
with SNOMED CT. Proceedings of the SNOMED CT Implementation
Showcase 2014 [Internet]. Amsterdam: IHTSDO; 2014.
https://confluence.ihtsdotools.org/display/FT/SNOMED+CT+Implemen
tation+Showcase+2014

123 | I S I W S C 2 0 1 9