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STS466 Md. Khadzir S.A. et al.
            heart disease” and “IHD”; as well as clinical records containing all the subtypes
            of  “Ischemic  heart  disease”  such  as  “Myocardial  Infarction”  and  “Unstable
            angina”.
                Context awareness such as negation and pasts events were also applied.
            For  example,  the  term  “No  chest  pain”,  “No  known  history  of  diabetes
            mellitus”, and “Symptoms of heart failure” will not be coded as the presenting
            condition. Additionally, terms like “Previous history of”, “Previous admission
            of”, and “Family history of” within the same sentence as a clinical condition will
            not be coded as the current condition for the record.

            4.  Discussion and Conclusion
                When showcasing these abilities to the clinicians, the team agreed that
            MyHarmony was able to:
                i.   Generate more information from free-text utilising the SNOMED CT
                   structure,  thus,  reducing  the  effort  needed  to  collect  data  in  a
                   structured manner such as in a registry and indicator reports;
               ii.   Able  to  generate  new  information  by  retrospectively  running  new
                   queries on old discharge summary records; thus, reducing the effort
                   and time to collect data in a prospective manner when new questions
                   arise, such as for indicator reports that often change on a yearly basis;
               iii.   Able to deliver information in a timelier fashion; thus clinicians and
                   health managers are able to plan and take action without waiting for a
                   1 to 3 yearly report;
               iv.  Improve  documentation  of  clinicians  when  they  are  aware  of
                   MyHarmony’s ability during roadshows.

                Generating indicators for monitoring and evaluation can be a burden even
            for healthcare facilities equipped with EHR. Conventionally, collecting data for
            indicators requires multiple data entries in aggregated manner, with manual
            submission  to  central  agencies,  where  the  results  are  only  published  on  a
            yearly basis. Introducing MyHarmony may reduce these burdens. Capturing
            data  from  the  source  in  an  automated  way,  i.e.  free  text  documented  by
            doctors, would reduce duplication of work and the amount of resources to
            capture the data into manual form. Having the data in granular form would
            allow a more dynamic analysis and prevents dishonesty. Information required,
            whether old or new information, can be formulated and disseminated back to
            the clinicians and health managers in a timelier fashion.
                MyHarmony has the potential to expand further in its implementation and
            technology.  However,  there  are  still  challenges  to  be  addressed.  Currently,
            MyHarmony has been developed to mine free-text for Cardiology via a back-
            end approach. It uses a single version of SNOMED CT International. The team
            is still researching the best approach to manage SNOMED CT versions and its

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