Skip to content

Updated MOH Artificial Intelligence in Healthcare Guidelines (AIHGle 2.0)

13 March 2026  |  Digital Health & AI  |  MOH MHC Cir 0024/2026

Summary

1. Purpose & Scope

Updated AI in Healthcare Guidelines (AIHGle 2.0) establishes comprehensive framework for responsible and safe implementation of Artificial Intelligence systems in healthcare. Applies to all licensees and healthcare professionals deploying AI technologies in clinical practice and administrative functions.

2. Key AI Deployment Requirements

  • Transparency & Explainability: AI decision-making must be interpretable; clinicians must understand how recommendations are generated
  • Clinical Validation: Mandatory evidence of safety and performance across diverse patient populations before clinical deployment
  • Human Authority: Healthcare professionals retain final decision-making authority; AI is decision-support tool only
  • Bias Assessment: Systems must be evaluated for demographic and performance bias
  • Data Governance: Secure data management, proper anonymization, and data protection compliance

3. Governance & Accountability Structure

  • Establish clear governance committees overseeing AI system deployment
  • Assign responsibility for system monitoring and clinical outcomes reporting
  • Conduct regular audits against predetermined performance metrics
  • Maintain comprehensive documentation of all AI systems in use
  • Document clinical applications and performance evaluation results

4. Safety, Risk Management & Performance Monitoring

  • Implement risk assessment protocols specific to AI technologies
  • Establish contingency plans and manual operation procedures if systems fail
  • Continuous monitoring for adverse events and unintended consequences
  • Maintain capacity to operate safely without AI systems
  • Regular performance benchmarking against clinical outcomes

5. Compliance Documentation & Reporting

All licensees must document validation studies, governance decisions, and monitoring results. System updates require revalidation. MOH may conduct compliance audits.

Action Items: Audit current AI applications; verify validation documentation; establish governance committees; ensure clinical oversight protocols; train staff on AI tool limitations.

Copy for WhatsApp / Telegram 
𝟭. 𝗣𝘂𝗿𝗽𝗼𝘀𝗲 & 𝗦𝗰𝗼𝗽𝗲
Updated AI in Healthcare Guidelines (AIHGle 2.0) establishes comprehensive framework for responsible and safe implementation of Artificial Intelligence systems in healthcare. Applies to all licensees and healthcare professionals deploying AI technologies in clinical practice and administrative functions.

𝟮. 𝗞𝗲𝘆 𝗔𝗜 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀
• Transparency & Explainability: AI decision-making must be interpretable; clinicians must understand how recommendations are generated • Clinical Validation: Mandatory evidence of safety and performance across diverse patient populations before clinical deployment • Human Authority: Healthcare professionals retain final decision-making authority; AI is decision-support tool only • Bias Assessment: Systems must be evaluated for demographic...

𝟯. 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗔𝗰𝗰𝗼𝘂𝗻𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲
• Establish clear governance committees overseeing AI system deployment • Assign responsibility for system monitoring and clinical outcomes reporting • Conduct regular audits against predetermined performance metrics • Maintain comprehensive documentation of all AI systems in use • Document clinical applications and performance evaluation results

𝟰. 𝗦𝗮𝗳𝗲𝘁𝘆, 𝗥𝗶𝘀𝗸 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 & 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴
• Implement risk assessment protocols specific to AI technologies • Establish contingency plans and manual operation procedures if systems fail • Continuous monitoring for adverse events and unintended consequences • Maintain capacity to operate safely without AI systems • Regular performance benchmarking against clinical outcomes

Documents

Circular

Annexes

Official Source

View on HCSA website

← Back to Digital Health & AI