Using e-booking system to improve no-show and efficiency in sleep laboratory

This abstract has open access
Abstract Description
Abstract ID :
HAC1872
Submission Type
Authors (including presenting author) :
Lau MY, Leung SY, Kwok KL, Chan Eric, Yeung Gerry, Hou Andy, Tsui CK, Mak MK
Affiliation :
Department of Paediatrics, Kwong Wah Hospital
Introduction :
Managing polysomnography (PSG) appointments in sleep laboratory is a complex process. Various strategies to reduce no-shows can be implemented. E-booking systems, which allow physicians and nurses to schedule and manage PSG appointments online, improves the efficiency of PSG services.
Objectives :
To monitor the no-shows rate for PSG and to evaluate the effectiveness of e-booking system.
Methodology :
New booking system and logistic workflows were introduced to physicians and nurses since January 2019. Here we review all new bookings and compare the pre- and post- no-show rates and evaluate the effectiveness of e-booking system.
Result & Outcome :
No-show rate was significantly dropped compared with 2018 (4.1% vs 13.2%, p=0.0015), 205 new PSG booking during 2019 were screen, 43 potential high-risk patients were arranged early PSG appointments and performed within 6 months. The mean age was 5.5 years old, 58% were male. The mean Apnea-hypopnea index (AHI) was 6.2/hr. E-booking system was shown to be effective in reducing the no-shows rate and enhance the efficiently of PSG service to sleep disorder patients. It can systematically organize the sleep study booking by sort them out into different specific categories to prevent duplicate booking and provide information for audit.

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