Netherlands Emergency department Evaluation Database
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Gepubliceerde artikelen
Wetenschappelijk onderzoek draagt bij aan het verbeteren van kwaliteit van SEH-zorg. Dit is belangrijk voor zorgverleners en patiënten. Onder voorwaarden staat Stichting NEED secundair datagebruik toe. Zie voor meer informatie communicatietoolkit Secundair datagebruik van VWS. Een overzicht van wetenschappelijke publicaties waarbij gebruik is gemaakt van NEED-data, vind je hieronder.
From prediction to practice: early implementation of a machine learning–based hospitalization prediction tool in the emergency department
The association between vital signs and relevant clinical outcomes in emergency department patients of different age categories.
Age-adjusted interpretation of biomarkers of renal function and homeostasis, inflammation, and circulation in Emergency Department patients
The Impact of Age on Predictive Performance of National Early Warning Score at Arrival to Emergency Departments: Development and External Validation
Sex differences in clinical presentation and risk stratification in the Emergency Department: An observational multicenter cohort study
Machine learning for developing a prediction model of hospital admission of emergency department patients: Hype or hope?
The association between presenting complaints and clinical outcomes in emergency department patients of different age categories
The association between the presenting complaint “unwell” and relevant clinical outcomes in paediatric, adult and geriatric emergency department patients: A retrospective cohort study using the Netherlands Emergency department Evaluation Database (N.E.E.D!).
Quality registries to improve emergency department care: from benchmarking to research and back
The effect of treatment and clinical course during Emergency Department stay on severity scoring and predicted mortality risk in Intensive Care patients
The prediction of 24-hour mortality by the ROX index compared with National Early Warning Score (NEWS) in Emergency Department patients: an observational study
Does machine learning with or without clinical judgment improve prediction of in-hospital mortality in older and younger ED patients with a suspected infection?
Development and external validation of the International Early Warning Score (IEWS): Improved age and sex adjusted mortality assessment in the hospital. Subtitle: An international multicenter cohort study.
The association between urgency level and hospital admission, mortality and resource utilization in three emergency department triage systems: an observational multicenter study
The association between emergency department length of stay and hospital length of stay: an observational multi-centre cohort study
Characteristics and outcomes of emergency department patients across health care systems: an international multicenter cohort study
Association between stringency of lockdown measures and emergency department visits during the COVID-19 pandemic: A Dutch multicentre study