Citation

Haw, Su Cheng and Tai, Tong Ern and Kong, Wan Er and Ng, Kok Why and Naveen, Palanichamy (2025) Modernizing Legacy Healthcare Systems Utilizing Semantic-Based Automated Mapping. In: 2025 IEEE International Conference on Smart Internet of Things (SmartIoT), 17-20 November 2025, Sydney, Australia.

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Abstract

Automated data mapping of legacy systems is one of the most critical enablers of digital transformation across various sectors, including healthcare, finance, and government. In system modernization when organizations shift from their legacy systems to new platforms, an automated mapping scheme is vital in handling many and often disparate data models, thus allowing seamless data migration without any loss or corruption that manually transformed data might incur. Over the past two decades, the demand for solutions with higher accuracy and reliability has increased. Thus, a semantic-based mapping is thus proposed in this context to enhance accuracy and reliability regarding data transformations while exploiting ontologies and semantic relations within the data. This gives a possibility for precise, relevant mapping of entities enhancing their integrity while minimizing errors. The observed results show that sematic-based mapping reduces data greatly loss, increases interoperability, and ensures consistency across platforms as compared to the rule-based mapping. Therefore, by maintaining quality information during transitions between systems, semantic mapping facilitates more effective digital transformation where organizations can make full use of their legacy information in modernized contexts.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Automated Data Mapping, Semantic-Based Mapping, Interoperability, Healthcare, Data Transformation
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management > HD30.2 Electronic data processing. Information technology. Including artificial intelligence and knowledge management
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	19 Mar 2026 02:54
Last Modified:	19 Mar 2026 02:54
URII:	http://shdl.mmu.edu.my/id/eprint/15611

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