Detalhe da pesquisa
1.
Factors influencing in-hospital prescribing errors: A systematic review.
Br J Clin Pharmacol
; 89(6): 1724-1735, 2023 06.
Artigo
Inglês
| MEDLINE | ID: mdl-36805648
2.
The impact of a sepsis performance improvement program in the emergency department: a before-after intervention study.
Infection
; 51(4): 945-954, 2023 Aug.
Artigo
Inglês
| MEDLINE | ID: mdl-36394818
3.
Host Response Biomarkers for Sepsis in the Emergency Room.
Crit Care
; 27(1): 97, 2023 03 21.
Artigo
Inglês
| MEDLINE | ID: mdl-36941681
4.
Leaving the hospital on time: hospital bed utilization and reasons for discharge delay in the Netherlands.
Int J Qual Health Care
; 35(2)2023 May 13.
Artigo
Inglês
| MEDLINE | ID: mdl-37148301
5.
Antibody responses against SARS-CoV-2 variants induced by four different SARS-CoV-2 vaccines in health care workers in the Netherlands: A prospective cohort study.
PLoS Med
; 19(5): e1003991, 2022 05.
Artigo
Inglês
| MEDLINE | ID: mdl-35580156
6.
Sepsis Performance Improvement Programs: From Evidence Toward Clinical Implementation.
Crit Care
; 26(1): 77, 2022 03 22.
Artigo
Inglês
| MEDLINE | ID: mdl-35337358
7.
Comparing complaint-based triage scales and early warning scores for emergency department triage.
Emerg Med J
; 39(9): 691-696, 2022 Sep.
Artigo
Inglês
| MEDLINE | ID: mdl-35418407
8.
Early warning scores to assess the probability of critical illness in patients with COVID-19.
Emerg Med J
; 38(12): 901-905, 2021 Dec.
Artigo
Inglês
| MEDLINE | ID: mdl-34706897
9.
Outcome of Immediate Versus Early Antibiotics in Severe Sepsis and Septic Shock: A Systematic Review and Meta-analysis.
Ann Emerg Med
; 76(4): 427-441, 2020 10.
Artigo
Inglês
| MEDLINE | ID: mdl-32593430
10.
Artificial Intelligence for Early Sepsis Detection: A Word of Caution.
Am J Respir Crit Care Med
; 207(7): 853-854, 2023 04 01.
Artigo
Inglês
| MEDLINE | ID: mdl-36724366
11.
Written by Humans or Artificial Intelligence? That Is the Question.
Ann Intern Med
; 176(4): 572-573, 2023 04.
Artigo
Inglês
| MEDLINE | ID: mdl-36913691
12.
Empiric anti-anaerobic antibiotics are associated with adverse clinical outcomes in emergency department patients.
Eur Respir J
; 61(5)2023 05.
Artigo
Inglês
| MEDLINE | ID: mdl-37169379
13.
In reply to: 'Use TRIPOD when validating clinical prediction models'.
Emerg Med J
; 40(1): 81-82, 2023 01.
Artigo
Inglês
| MEDLINE | ID: mdl-36396346
14.
What Sepsis Researchers Can Learn from COVID-19.
Am J Respir Crit Care Med
; 203(1): 125-127, 2021 01 01.
Artigo
Inglês
| MEDLINE | ID: mdl-33125253
15.
Blood Culture Results Before and After Antimicrobial Administration.
Ann Intern Med
; 172(6): 439, 2020 03 17.
Artigo
Inglês
| MEDLINE | ID: mdl-32176903
16.
A Different Perspective on the Use of Sepsis Alert.
Crit Care Med
; 48(7): e632-e633, 2020 07.
Artigo
Inglês
| MEDLINE | ID: mdl-32568916
17.
Impact of Blood Culture Contamination on Antibiotic Use, Resource Utilization, and Clinical Outcomes: A Retrospective Cohort Study in Dutch and US Hospitals.
Open Forum Infect Dis
; 11(2): ofad644, 2024 Feb.
Artigo
Inglês
| MEDLINE | ID: mdl-38312218
18.
[Can artificial intelligence write a medical-scientific article of sufficient quality?] / Kan AI eenNTvG-artikel schrijven?
Ned Tijdschr Geneeskd
; 1672023 04 12.
Artigo
Holandês
| MEDLINE | ID: mdl-37052399
19.
Biomedical heterogeneous data categorization and schema mapping toward data integration.
Front Big Data
; 6: 1173038, 2023.
Artigo
Inglês
| MEDLINE | ID: mdl-37139170
20.
Embracing cohort heterogeneity in clinical machine learning development: a step toward generalizable models.
Sci Rep
; 13(1): 8363, 2023 05 24.
Artigo
Inglês
| MEDLINE | ID: mdl-37225751