Emergency MedicineNCT05616416
International Big Data Centre in Emergency Medicine
An observational study of Emergency Medicine, run by Guangdong Provincial People's Hospital at 1 site in China.
Trial 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. Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Emergency Medicine
- How many people
- 500,000 participants
- Where
- 1 siteChina
- Study dates
- 1 Jan 2011to Dec 2027
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Study population: The study population will be everybody who visited the Emergency Department.
Who may be able to join
- Every patient who ever visited Emergency Department from 2011-2022
Who cannot join
- Patients with missing demographic (age, gender, etc.) and triage data
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
China1 site, 1 recruiting
- Recruiting
Guangdong Provincial People's Hospital
Guangzhou, Guangdong
Abdelouahab Bellou, MD, +16176693707, abellou402@gmail.com
About this study
Official title: Institute of Sciences in Emergency Medicine - International Big Data Centre in Emergency Medicine
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.
- Conditions
- Emergency Medicine
- Keywords
- Machine Learning, Data Mining, Artificial Intelligence
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| All ED Patient | All patients visited the emergency department during the period. |
What is being measured
The primary outcome is the main question the study is designed to answer.
In-hospital Mortality
IHM
Measured: 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
Measured: 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
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted15 Nov 2022
- Study start1 Jan 2011
- Primary completionDec 2027 (estimated)
- Study completionDec 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Emergency MedicineStudies of the same condition, open and under way.
- More trials run by Guangdong Provincial People's HospitalThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 500,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Guangdong Provincial People's Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Abdelouahab Bellou, Guangdong Provincial People's Hospital
- Investigators
- Abdelouahab Bellou, MD, PhD, MSc, Principal investigator, Guangdong Provincial People's Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05616416
- Sponsor's protocol ID
- KY-N-2022-105-01
- Status last verified
- Jun 2026
- First submitted
- 7 Nov 2022
- Last updated
- 1 Jul 2026
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 1 Jul 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Institute of Sciences in Emergency Medicine - International Big Data Centre in Emergency Medicine
- ClinicalTrials.gov ID
- NCT05616416
- Acronym / sponsor ID
- KY-N-2022-105-01
- Conditions
- Emergency Medicine
- Keywords
- Machine Learning, Data Mining, Artificial Intelligence
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 500,000 participants (estimated)
- Lead sponsor
- Guangdong Provincial People's HospitalUniversity, hospital or other
- Study start
- 1 Jan 2011 (actual)
- Primary completion
- Dec 2027 (estimated)
- Study completion
- Dec 2027 (estimated)
- First posted
- 15 Nov 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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
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.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| All ED Patient | – | –All patients visited the emergency department during the period. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
- Study population
- The study population will be everybody who visited the Emergency Department.
Key inclusion criteria (1 listed)
- Every patient who ever visited Emergency Department from 2011-2022
Key exclusion criteria (1 listed)
- Patients with missing demographic (age, gender, etc.) and triage data
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
In-hospital Mortality
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
IHM
1 secondary outcome
Number of Adverse Events
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
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 1 Jul 2026.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Abdelouahab Bellou, MD, PhD, MSc principal investigator
Guangdong Provincial People's Hospital
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Emergency Medicine, run by Guangdong Provincial People's Hospital at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 1 Jul 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Abdelouahab Bellou, MD, PhD, MSc (+16176693707, abellou402@gmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
In-hospital Mortality (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). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 1 Jul 2026.