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.
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.
Submission of Concept Note
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:
Thank you.
RESEARCH MANAGEMENT CENTRE