Automated Medical Coding Optimization using Russell GPT and Endeavour AI
Care Process & Redesign
Technology
National Healthcare Innovation and Productivity Medals
National University Health System
9 October 2025
The aim of the project is to develop an innovative automated medical coding assistant using Russell GPT and Endeavour AI to. The AI-assisted coding system demonstrates significant time savings and accuracy improvements, with potential for scalability and.
Year Submitted: 2025
Published Date: 09 October 2025
Tags: Technology, Automation, Care Process ＆ Redesign, Productivity, Time Saving, Artificial Intelligence
About this Content
Aims
The aim of the project is to develop an innovative automated medical coding assistant using Russell GPT and Endeavour AI to improve the efficiency and accuracy of medical coding.
Background
The project addresses the issue of under coding in medical records due to time constraints and incomplete documentation, which affects hospital billing and performance measurement.
Methods
A pilot study was conducted at NUH and NTFGH involving clinical coders, clinicians, IT specialists, and administrators. The project involved integrating Russell GPT with electronic medical records to automate the coding process, reducing the time required for coding and improving accuracy.
Results
The pilot study showed a reduction in coding time from 15 minutes to 5 minutes per case, with a 33% efficiency gain. The casemix index increased from 2.95 to 3.05, indicating improved accuracy.
Conclusion
The AI-assisted coding system demonstrates significant time savings and accuracy improvements, with potential for scalability and broader adoption.
Lessons Learnt
The phased approach allowed for adjustments and improvements at each stage. Continuous refinement of the AI system and prompt engineering were crucial for improving accuracy.
Keywords
Medical Coding, Automation, AI, Russell GPT, Endeavour AI
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | National University Health System |
Organization(s) Involved | National University Hospital, Ng Teng Fong General Hospital, Alexandra Hospital |
Platform(s) | National Healthcare Innovation and Productivity Medals |
Healthcare Professional Group(s) | Healthcare Administration |
Applicable Specialty or Discipline | Allied Health |
Project Lead(s) | Andrew Makmur |
Project Member(s) | Bhuvana Mohankumar |
Connect with this contributor!
Dr Bhuvana Mohankumar - bhuvaneshwari@nuhs.edu.sg
Project Attachment
462_NUH_NHIP_2025_Automated_Medical_Coding_Optimization_using_Russell_GPT_and_Endeavour_A.pdf