Proposed Topic (Most preferred): :
Research and Innovations (new projects / technology / innovations / service models)
Proposed Topic (Second preferred): :
HA Young Investigators Session (Projects to be presented by HA staff who had joined HA for 10 years or less)
Authors (including presenting author) :
Tsang WC, Wong HK, Chung CF, Leung MC, Au FW
Affiliation :
Department of Medicine, Tseung Kwan O Hospital
Introduction :
In Tseung Kwan O Hospital, paper-format bookkeeping system was used for recording patients’ admission and discharge data for more than 20 years. With alignment of “Smart Hospital” in HA strategic plan and the trend of big data applications, a web-based UI platform “Electronic Admission System” (EAS) was developed and implemented in medical department to minimize administrative works, improve data record precision and facilitate big data utilization.
Objectives :
For Frontline staff, EAS aims at enhancing efficiency by minimizing replicated data collection and administrative steps normally performed in routine admission and discharge processes. While for managerial level, EAS aids quality of care improvement via utilization of big data collected.
Methodology :
The methodology involved referencing the workflow of the existing paper-format bookkeeping system and developing a web-based application. It introduces automation in data calculations, doctor assignment, and database management to efficiently handle daily admissions and discharges. Data were compared in the paper-format and digital system.
Result & Outcome :
Pilot service was conducted in two wards in 2020, and subsequently expanded to encompass all acute wards in the medical department. Several system enhancements were done during the implementation. In the final product, the digital system approximately achieved a 70% reduction in data redundancy. The average administration time required for a routine admission was approximately reduced from 15 minutes to within 5 minutes. The implementation led to a notable enhancement in service quality, redistribution of staff workload and responsibilities, and facilitation an early specialty service intervention. In the way forward, EAS is going to act as a platform to receive and manage data from Central Monitor System and Central Infusion Pump System to facilitate continuous monitoring and enhance patient safety. To conclude, the implementation of EAS improved efficiency, data accuracy and facilitate big data utilization in healthcare.
