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RecruitingNCT05616416Updated Jul 1, 2026

International Big Data Centre in Emergency Medicine

An observational study in Emergency Medicine, sponsored by Guangdong Provincial People's Hospital. Recruiting at 1 site in China. Per ClinicalTrials.gov, last updated 2026-07-01.

Sponsored by Guangdong Provincial People's Hospital · Observational

From the registry’s dates

  • Started Jan 2011; still recruiting 15 years 9 months later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
500,000
Sex
All
01

Study summary

This observational study aims to use electronic health records to build an International Big Data Centre in Emergency Medicine, within the Institute of Sciences in Emergency Medicine (ISEM) at the Guangdong Provincial People's Hospital. The main questions it seeks to answer are not limited to the following:

  • Identify the relationship between Emergency Department Length of Stay (EDLOS), Mortality, and Adverse Events (AE)
  • Identify the risk factors associated with high mortality and AE rate among patients who experience prolonged EDLOS
  • Other research questions related to emergency medicine, such as building prediction and cluster models for acute diseases
Read the detailed description

The relationship between the emergency department length-of-stay (EDLOS), mortality, and adverse events (AE) rate remains unclear and underestimated. EDLOS is the time elapsed between the time of arrival and the time of the release of a patient admitted to ED. Mortality is defined as short-term (14 hours, 48 hours, 7 days, 15 days) and 30 days death of patients managed in the ED discharged or admitted. An AE is an event that can result whether from medical mismanagement or happen by accident and causes physical and mental harm to the patient during the stay and remains after leaving. To separate the mismanagement from accidental causes i.e., compliant management but the unfortunate situation or persons, this study will refer to indicators that are objectively measurable and can be compared at different times throughout the patient's stay in the ED.

The hypothesis is that a prolonged stay of the patients in the ED especially without diagnosis or decision of admission is associated with increased mortality and AEs. This project will test this hypothesis through a prospective international multicenter study in contributing to whether a prolonged EDLOS is associated with an increased rate of adverse outcomes.

02

Conditions studied

  • Emergency Medicine

Keywords

  • Machine Learning
  • Data Mining
  • Artificial Intelligence
03

In context

Lead sponsor

Guangdong Provincial People's Hospital is the lead sponsor of 231 studies on the registry; 101 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

The study population will be everybody who visited the Emergency Department.

Inclusion criteria

  • Every patient who ever visited Emergency Department from 2011-2022

Exclusion criteria

Exclusion Criteria:

  • Patients with missing demographic (age, gender, etc.) and triage data
05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
500,000 participants (estimated)
Patient registry
No

Groups and cohorts

  • All ED Patient

    All patients visited the emergency department during the period.

06

What researchers measure

Primary outcomes

  1. In-hospital Mortality

    IHM

    Time frame: From date of ED triage until the date of discharge or date of death from any cause, whichever came first, assessed up to 1 month

Secondary outcomes

  1. Number of Adverse Events

    AE

    Time frame: From date of ED triage until the date of discharge or date of death from any cause, whichever came first, assessed up to 1 month

07

Study locations

1 of 1 sites recruiting
  • Guangdong Provincial People's Hospital
    Guangzhou, Guangdong, China
    Recruiting
08

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 1, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05616416
Lead sponsor
Guangdong Provincial People's Hospital
Responsible party
Abdelouahab Bellou (Director of Institute of Sciences in Emergency Medicine, Guangdong Provincial People's Hospital) — Principal investigator
First posted
Nov 15, 2022
Start date
Jan 1, 2011
Primary completion
Dec 2027 (estimated)
Completion
Dec 2027 (estimated)
Last update
Jul 1, 2026

Study contacts

Abdelouahab Bellou, MD, PhD, MSc
Contact
abellou402@gmail.com
+16176693707
Abdelouahab Bellou, MD, PhD, MSc
principal investigator · Guangdong Provincial People's Hospital

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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