Authors: (including presenting author): :
Ng CM(1)
Affiliation: :
(1)Division of Urology, Department of Surgery, Princess of Margaret Hospital
Keyword 1: :
Digital bladder diary
Introduction: :
Lower urinary tract symptoms (LUTS) significantly burden aging populations, with bladder diaries serving as the gold standard for objective assessment. Traditional paper diaries suffer from poor compliance, illegible entries, arithmetic errors, and time-consuming manual interpretation, compounded by hygiene and workflow challenges in paperless Hospital Authority (HA) clinics.
Objectives: :
To address these limitations, we developed Smart Bladder Diary, a secure Flask-based Progressive Web Application (PWA) tailored for the Hong Kong Hospital Authority environment.
Methodology: :
The system requires no app installation, offering full cross-device compatibility and seamless use on mobile devices or HA CMS stations. Key features include separate patient and doctor portals. Patients log in via a simple clinic-issued code using camera-based QR/barcode scanning or manual entry. The intuitive interface features large icon-driven buttons for recording fluid intake (type and estimated volume), urine output with timestamps, sleep/wake times, and marking of first morning and last bedtime voids.
Doctors access patient data by patient code (with QR scanning support), view a timeline visualization showing hourly fluid intake and urine output bars differentiated by awake and sleep periods. Automated calculations provide essential urological metrics: maximum/minimum/median/10th/90th percentile voided volumes, total volumes, awake/sleep urine output, nocturnal polyuria index, and daytime/bedtime frequency statistics. Summarized results can be exported as a QR code for direct integration into HA CMS.
Result & Outcome: :
Pilot feedback from patients (including elderly users) and clinicians confirms high usability, improved data completeness, reduced consultation time, and elimination of manual calculation errors. This locally developed digital solution enhances patient engagement, data accuracy, and clinical efficiency in LUTS management. Future evaluations will quantify improvements in completion rates and user satisfaction.
