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Completed

NCT Number: NCT05025683

Analyzing Patient Flows at the Emergency Department by Data Analytics, Simulation, and Optimization

In this project, investigators apply operations research techniques, more specifically data analytics, system simulation, mathematical modelling, and optimization, for analyzing and improving operations in the Emergency Department at the Prince of Wales Hospital. The long term goals of this project are to demonstrate that integrated approach of data analytics and systems thinking is beneficial to health service planning and to extend present work to applications in other health-service systems.

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Key information

Conditions

Emergency Patients Disease Attributes Emergencies Pathologic Processes Pathological Conditions, Signs and Symptoms

Sex eligibility

All sexes

Study type

Observational

Primary location

Prince of Wales Hospital

Shatin, NT, Hong Kong

About this study

Design and subjects The current study requires time stamps for which patients start and end activities in the department. Personally identifiable information is not needed in this study. Investigators will collect the data from the computer system of the Department. The data will be used for data analysis and the development of simulation and optimization models. With current models, investigators investigate the effects of queueing policies, study workforce planning, and conduct a cost-effectiveness analysis for strategic planning.

Study instruments Data analytics tools and simulation and optimization softwares are needed in this research.

Interventions With simulation and optimization models, investigators examine the impacts of different operational strategies on the performance of the Emergency Department. The Computational experiments will not disturb the actual operations but will provide insights into the effectiveness of the various intervention policies.

Main Outcome Measures Investigators will derive insights from computational experiments and deliver useful recommendations for managing emergency department operations in Hong Kong.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • All the patients attended to the Emergency Department of Prince of Wales Hospital in the period of July 2017 to June 2018 will be included in this study.

Exclusion criteria

  • No patient will be excluded in this study

Treatment and study plan

Primary outcomes

  1. Quantitative models

    Time frame: 12 months after recruitment

    Quantitative models, powered by domain knowledge of the Emergency Department (ED) system and ED operational data, will be developed to address three main operational problems in an ED: patient waiting time prediction, impacts of an adoption of a fast-track system, and patient scheduling

Sponsors and collaborators

Lead sponsor

Chinese University of Hong Kong

Other

Collaborators

  • The University of Hong Kong

Registry information

Important dates

Study start
2019
Primary completion
2020
Study completion
2021
First posted
Aug 27, 2021
Registry last updated
Aug 27, 2021

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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