Authors (including presenting author) :
Chan KW (1)
Affiliation :
(1) Intensive Care Unit, Princess Margaret Hospital
Keyword 1: :
Smart Hospital
Keyword 2: :
Resuscitation
Keyword 3: :
Patient Safety
Keyword 4: :
Clinical Decision Support
Keyword 5: :
Mobile Health (mHealth)
Keyword 6: :
Digital Documentation
Introduction :
Resuscitation is a high-intensity clinical event where timing and precision are critical to patient survival. Frontline staff faces immense pressure, making it challenging to manually track time and medication dosages while attending to immediate patient needs. To enhance patient safety and align with the smart hospital initiative, a digital cognitive aid has been developed to serve as a real-time safety net. By automating time-tracking and providing proactive dosage alerts and decision support, this tool mitigates the risk of human error so clinicians can focus on professional judgement and high-quality patient care.
Objectives :
(1) To enhance timing reliability: Automated, synchronized timers for CPR cycles and medication dosing eliminate manual timekeeping errors. (2) To ensure pharmacological precision: Real-time cumulative counters and automated alerts for dosage limits prevent potential administration errors. (3) To provide active guidance on clinical actions: Customizable prompts serve as a digital checklist for critical next steps or observations.
Methodology :
The project utilized a Progressive Web Application (PWA) framework for immediate deployment on ward iPads. The development and implementation are structured as follows: Current Progress: The system architecture is fully developed, incorporating ACLS-based logical algorithms, dynamic intervention timers, and a modular drug library with pre-set dosage alerts. Validation Phase: Pending formal approval, the tool will be integrated into CPR drills to evaluate UI usability and 'next-step' prompt logic. Structured Roll-out: Following successful simulation-based validation and subsequent institutional approval, a phased pilot deployment will be initiated to collect clinical feedback and verify data accuracy before hospital-wide implementation.
Result & Outcome :
Although clinical implementation is pending formal approval, the app is designed as a digital cognitive aid supported by extensive simulation-based evidence. Three key outcomes are anticipated: (1) Automated timers are expected to reduce deviations from guideline-recommended intervals, consistent with findings that digital aids significantly improve CPR performance scores (Hauff et al., 2021). (2) Cumulative dose counters and alerts are anticipated to decrease dosing errors, mirroring interactive tools that reduced deviations in drug administration and process steps (Rasa et al., 2023). (3) Customizable "next-step" prompts are expected to enhance team coordination and reduce omitted actions, supported by systematic reviews showing improved resuscitation metrics in simulated scenarios (Goldiez et al., 2022).
