IMPLEMENT-ED

Effects of Implementation of Real-time Feedback of Risk Stratification Tools in the Emergency Department on Care Processes and Clinical Outcomes - Effects of Implementation of Real-time Feedback of Risk Stratification Tools in the Emergency Department on Care Processes and Clinical Outcomes

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

NL-OMON

Registry ID

NL-OMON57481

Enrollment

6000

Registered

2025-02-12

Start date

2025-04-01

Completion date

Unknown

Last updated

2025-09-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Overall ED population

Interventions

Introduction of a dashboard with real-time information on care processes and in that dashboard a machine-learning based hospitalization prediction tool. &nbsp

(Note: information provision and standard care, not a linked intervention related to care itself).

Eligibility

Age

No minimum to 99 Years

Inclusion criteria

Inclusion criteria: All consecutive ED patients

Exclusion criteria

Exclusion criteria: None. All consecutive ED visits registered in the NEED database are included in the study unless patients objected to participate in the quality registry. 

Design outcomes

Primary

Measure	Time frame
Emergency department length of stay	—

Secondary

Measure	Time frame
In-hospital mortality, hospital admission, discrepancy between predicted, observed admissions, 7-day revisits, attitudes of health care professionals on machine learning.	—

Countries

Netherlands

Contacts

Public ContactW Raven

Leids Universitair Medisch Centrum

w.raven@lumc.nl071 526 9111

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)