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

NCT05025683 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 23425

Last updated 2021-08-27

No results posted yet for this study

Summary

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.

Conditions

  • Emergency Patients

Sponsors & Collaborators

  • The University of Hong Kong

    collaborator OTHER

  • Chinese University of Hong Kong

    lead OTHER

Principal Investigators

  • Colin A Graham, MD · Chinese University of Hong Kong

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-01-21
Primary Completion
2020-12-01
Completion
2021-01-20

Countries

  • Hong Kong

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05025683 on ClinicalTrials.gov