XRBuddy: Leveraging Generative AI to Streamline Workflow and Imaging Protocol Access for Radiographers
Care Process & Redesign
Technology
Singapore Health Biomedical Congress
National Healthcare Group
27 January 2026
Radiographers often struggle with accessing scattered, site-specific imaging protocols and workflows that are buried deep. XRBuddy exemplifies the potential of generative AI to enhance clinical efficiency and promote standardised practice in radiography.
Year Submitted: 2025
Published Date: 27 January 2026
Tags: Care Process ＆ Redesign, Quality Improvement, Workflow Redesign, Technology, Digitalisation, Automation, Artificial Intelligence
About this Content
Aims
Radiographers often struggle with accessing scattered, site-specific imaging protocols and workflows that are buried deep within the Intranet, leading
to inefficiencies and inconsistencies in clinical practice. To address this gap, XRBuddy, a generative AI-powered chatbot built on the Pair platform with a Retrieval-
Augmented Generation (RAG) framework was developed to streamline access to NHGD protocols and reference materials. XRBuddy is engineered with strict rules
and robust guardrails to ensure responses are strictly drawn from NHGD content. This design mitigates the risk of misinformation and ensures alignment with
institutional standards. By delivering accurate, site-specific information in real time, XRBuddy reduces search time, supports new staff and floaters, and promotes
standardized imaging practices across NHGD Centres.
Lessons Learnt
XRBuddy exemplifies the potential of generative AI to enhance clinical efficiency and promote standardised practice in radiography. Validated by both junior and expert panel, it streamlines information retrieval, reduce manual searches and support clinical decision-making in NHGD. Ongoing refinement and scalability across modalities, together with expanded testing such as periodic expert audits will further enhance its contextual accuracy and integration as a trusted clinical support tool for radiographers.
Additional Information
- Everyday AI Award in HEAL Award Competition 2025
- Best poster award (Gold) in SHBC Scientific Competition 2025
Keywords
AI Chatbot, XRBuddy
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | National Healthcare Group |
Organization(s) Involved | National Healthcare Group Diagnostics |
Platform(s) | Singapore Health Biomedical Congress |
Healthcare Professional Group(s) | Allied Health |
Applicable Specialty or Discipline | Diagnostic Radiography |
Project Lead(s) | Low Jia Xian Shermaine |
Project Member(s) | Chong Chun Meng |
Connect with this contributor!
Low Jia Xian Shermaine - shermaine.jx.low@nhghealth.com.sg