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Updated At:
13 Aug 2025 16:14:42
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13 Aug 2025 16:14:42
Deadline: Wednesday,10 September 2025, Strategic Research Fund – Request for Proposal (SRF-RFP) Development of Large Language Model (LLM) In The Health Sector for Ministry Of Health (MOH) Application
السَّلاَمُ عَلَيْكُمْ وَرَحْمَةُ اللهِ وَبَرَكَاتُهُ
May this email reach you while you are in the best of health and Iman by the grace of Allah Subhanahu Wata'ala.
Dear YBhg. Tan Sri/ Dato’/ Prof./ Dr./Sir./ Mdm.,
Please be informed that the Ministry of Science, Technology, and Innovation (MOSTI) invites all researchers to apply for the Strategic Research Fund - Request for Proposal (SRF-RFP) Development of Large Language Model (LLM) In The Health Sector for the Ministry of Health (MOH) Application: Transforming Healthcare Guided by Artificial Intelligence (AI).
General Objective
To develop an LLM in the context of Malaysia’s healthcare and LLM-based applications that benefit the public, patient care, health system management, and research.
To develop an LLM in the context of Malaysia’s healthcare and LLM-based applications that benefit the public, patient care, health system management, and research.
Specific Objectives
1) To develop an LLM using various Ministry of Health (MOH) datasets related to health in Malaysia. Beyond LLM, the potential use of Small Language Models (SLM) may also be considered as an option for developing clinical models for MOH.
2) To build LLM or SLM-based applications in areas such as:
a) Public Use: Empowering patients in self-care. Example: building a Question-Answering Chatbot on the MOH website or within Personal Health Record (PHR) systems to find medical information.
b) Patient Care: More efficient patient management and treatment. Example: building automated text generation to produce discharge summaries and referral letters.
c) Health system management and research: Facilitating information processing and research by identifying patients based on research criteria. Example: building medical auto-coding for diagnosis and procedure data by medical record officers.
1) To develop an LLM using various Ministry of Health (MOH) datasets related to health in Malaysia. Beyond LLM, the potential use of Small Language Models (SLM) may also be considered as an option for developing clinical models for MOH.
2) To build LLM or SLM-based applications in areas such as:
a) Public Use: Empowering patients in self-care. Example: building a Question-Answering Chatbot on the MOH website or within Personal Health Record (PHR) systems to find medical information.
b) Patient Care: More efficient patient management and treatment. Example: building automated text generation to produce discharge summaries and referral letters.
c) Health system management and research: Facilitating information processing and research by identifying patients based on research criteria. Example: building medical auto-coding for diagnosis and procedure data by medical record officers.
Submission of Concept Note
The concept note for this RFP can be submitted through the Integrated Fund System (SDB) portal from 28 July 2025 to 10 September 2025.
Maximum Fund Value (RM)
Estimated at RM 15 million.
Expected Project Outcomes (Use Cases)
1) A centralized, secure, updatable Clinical LLM (CLLM) tailored for Malaysian healthcare, serving as a language model repository for future AI projects.
2) Applications for the public, such as mobile apps showing personal health status, risk assessments, healthy lifestyle recommendations, and health service chatbots.
3) Applications for patient management, like alerts for critical lab results, automated generation of discharge summaries and referral letters, and clinical decision support tools tied to Clinical Practice Guidelines (CPG) through QA chatbots.
4) Applications for health system management, like automating medical coding (ICD, SNOMED CT), producing DRGs, identifying cohorts for research, and using QA chatbots for health statistics.
Inquiry
Should you need further information, please contact the secretariat:
2) Applications for the public, such as mobile apps showing personal health status, risk assessments, healthy lifestyle recommendations, and health service chatbots.
3) Applications for patient management, like alerts for critical lab results, automated generation of discharge summaries and referral letters, and clinical decision support tools tied to Clinical Practice Guidelines (CPG) through QA chatbots.
4) Applications for health system management, like automating medical coding (ICD, SNOMED CT), producing DRGs, identifying cohorts for research, and using QA chatbots for health statistics.
Inquiry
Should you need further information, please contact the secretariat:
Mr. Shahzari bin Hussin: 03-8885 8315 | shahzari@mosti.gov.my
Mr. Shahrul Ramadhan bin Yahaya: 03-8885 8704 | ramadhan@mosti.gov.my
Ms. Norlatimah binti Abd Latif: 03-8885 8327 | latimah@mosti.gov.my
Mr. Mohamad Noor bin Md Khatit: 03-8885 8318 | mohdnoor@mosti.gov.my
Ms. Elena Mazlinda binti Mazlan: 03-8885 8258 | elena@mosti.gov.my
and Ms. Nurfarahiyah binti Marzuki: 03-8885 8387 | nurfarahiyah@mosti.gov.my cc grantapplication@iium.edu.my
Mr. Shahrul Ramadhan bin Yahaya: 03-8885 8704 | ramadhan@mosti.gov.my
Ms. Norlatimah binti Abd Latif: 03-8885 8327 | latimah@mosti.gov.my
Mr. Mohamad Noor bin Md Khatit: 03-8885 8318 | mohdnoor@mosti.gov.my
Ms. Elena Mazlinda binti Mazlan: 03-8885 8258 | elena@mosti.gov.my
and Ms. Nurfarahiyah binti Marzuki: 03-8885 8387 | nurfarahiyah@mosti.gov.my cc grantapplication@iium.edu.my
Thank you.
RESEARCH MANAGEMENT CENTRE