Authors (including presenting author) :
Ｈo CY (1) Kwok PH (1) Chan WWL (1)
Affiliation :
(1) Occupational Therapy Department, Pok Oi Hospital
Keyword 2: :
electronic patient-reported outcome
Keyword 3: :
AI-assisted scoring
Keyword 4: :
orthopaedic assessment
Keyword 5: :
time efficiency
Keyword 6: :
digital transformation
Introduction :
The Hong Kong Version of Knee Injury and Osteoarthritis Outcome Score (HK-KOOS) is a validated 42-item patient-reported outcome measure widely used in orthopaedic clinics to evaluate knee function and quality of life. Traditionally, paper-based HK-KOOS forms require manual data entry into Excel for scoring, consuming at least 10 minutes per patient and contributing to staff workload and delayed clinical feedback. With about 12 patients completing the HK-KOOS weekly in our outpatient clinic, this manual process represented a significant administrative burden ( around 104 hours per year).
Objectives :
To develop and implement an AI-assisted electronic HK- KOOS platform that automates data capture, scoring, and report generation, thereby reducing processing time by at least 80% while maintaining scoring accuracy and improving clinical workflow efficiency.
Methodology :
Previously, HK-KOOS was filled in by patients by paper and pen. Based on the return, a complicated formula was used to calculate the assessment score of HK-KOOS. The process was found time consuming, documentation and feedback to patient on their progress was delayed due to the long processing time. After identifying the problem, AI was used to generate HTML coding of electronic HK- KOOS platform. the HTML coding was then put on HAteams to facilitate access from CMS, PC and IPad. The HAteams based electronic HK-KOOS form was created with responsive design for tablet completion. Patients completed the questionnaire digitally in the waiting area. Upon submission, client-side JavaScript instantly calculated the five HK-KOOS subscale scores (Pain, Symptoms, Activities of Daily Living, Function in Sport and Recreation, and Knee-Related Quality of Life) according to the official KOOS scoring algorithm. The system was validated against manual Excel scoring in 50 consecutive cases for accuracy before full deployment. Processing time was measured from form submission to report availability.
Result & Outcome :
Post-implementation, mean processing time decreased from 10 to 2 minutes per patient (80% reduction). Scoring accuracy was 100% across all validated cases. For 12 patients per week, this translated to approximately 100 minutes of staff time saved weekly (approximately 83 hours annually). Clinicians received immediate HK-KOOS reports during consultations, enabling real-time shared decision-making. Patient satisfaction with the digital format was 96%. The AI-assisted electronic HK-KOOS system dramatically improved workflow efficiency, reduced administrative burden, and enhanced the clinical utility of patient-reported outcomes in routine orthopaedic practice.
