[AVBC 2025] SG Med Translate: An Engine to Tackle Translation Woes
Care Process & Redesign
Technology
Appropriate & Value-based Care Conference
National Healthcare Group
27 November 2025
To develop an AI-powered engine for medical translations incorporating local language and context nuances. With planned integration into Singapore's whitelisted AI platform, SGMedTranslate offers a promising solution for nationwide adoption.
Year Submitted: 2025
Published Date: 27 November 2025
Tags: Technology, Digitalisation, Automation, Artificial Intelligence, Care Process ＆ Redesign, Quality Improvement, Workflow Redesign, Productivity, Cost Saving, Time Saving, Manhour Saving
About this Content
Aims
To develop an AI-powered engine for medical translations incorporating local language and context nuances.
Background
In Singapore's multiracial society, accurate translation of medical information is crucial yet resource-intensive, requiring significant time and subject matter experts. Commercial translation engines lack healthcare context capabilities, limiting health information accessibility for non-English speaking patients.
Methods
SGMedTranslate, an AI-powered translation engine, was developed using Large Language Models to translate medical content across Singapore's four official languages (English, Mandarin, Malay, and Tamil). The engine was designed to process healthcare terminologies and cultural nuances specific to the Singapore context.
Results
SGMedTranslate will enable the translation of 3,000 NHG Health patient education materials, projecting significant savings of approximately $1 million in translation fees and 179,000 man-hours in productivity gains.
Conclusion
With planned integration into Singapore's whitelisted AI platform, SGMedTranslate offers a promising solution for nationwide adoption. The solution's proven accuracy in medical translations across Chinese, Malay, and Tamil, c
Lessons Learnt
SGMedTranslate demonstrates significant improvements in both efficiency and accuracy for healthcare translations. The solution's integration capabilities and web-based architecture enable broad accessibility across healthcare institutions.
Keywords
AI-powered, translation, healthcare, multilingual, productivity gains
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | National Healthcare Group |
Organization(s) Involved | Tan Tock Seng Hospital, National Healthcare Group, Centre for Healthcare Innovation |
Platform(s) | Appropriate & Value-based Care Conference |
Healthcare Professional Group(s) | Pharmacy |
Applicable Specialty or Discipline | General Medicine |
Project Lead(s) | M.A.C. JABIGO |
Project Member(s) | S.J.L. XU |
Connect with this contributor!
Lim Woan Chyi - Woan_chyi_lim@ttsh.com.sg
Project Attachment
915_NHG_Health_AVBC_2025_SG_Med_Translate_An_Engine_to_Tackle_Translation_Woes.pdf