Keyword search (4,163 papers available)

"detection" Keyword-tagged Publications:

Title Authors PubMed ID
1 Impact of COVID-19 on incidence and trends of adverse events among hospitalised patients in Calgary, Canada: a retrospective chart review study Wu G; Eastwood CA; Cheligeer C; Southern DA; Zeng Y; Ghali WA; Bakal JA; Boussat B; Flemons W; Forster A; Xu Y; Quan H; 41592994
CONCORDIA
2 Reliability of Comprehensive Facial Soft Tissue Landmark Detection and Analysis Using Frontal View Photographs Hassanzadeh-Samani S; Pirayesh Z; Motie P; Ghorbanimehr MS; Farzan A; Mohammad-Rahimi H; Behnaz M; Motamedian SR; 40975629
ENCS
3 Microfluidic Liquid Biopsy Minimally Invasive Cancer Diagnosis by Nano-Plasmonic Label-Free Detection of Extracellular Vesicles: Review Neriya Hegade KP; Bhat RB; Packirisamy M; 40650129
ENCS
4 Real-time motion detection using dynamic mode decomposition Mignacca M; Brugiapaglia S; Bramburger JJ; 40421310
MATHSTATS
5 All-Inclusive Sensing Tablet with Integrated Passive Mixer for Ultraviscous Solutions Safiabadi Tali SH; Al-Kassawneh M; Mansouri M; Sadiq Z; Jahanshahi-Anbuhi S; 40327804
ENCS
6 Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism Cheligeer C; Southern DA; Yan J; Wu G; Pan J; Lee S; Martin EA; Jafarpour H; Eastwood CA; Zeng Y; Quan H; 40105654
ENCS
7 Face Boundary Formulation for Harmonic Models: Face Image Resembling Huang HT; Li ZC; Wei Y; Suen CY; 39852327
CONCORDIA
8 Semantically-Enhanced Feature Extraction with CLIP and Transformer Networks for Driver Fatigue Detection Gao Z; Chen X; Xu J; Yu R; Zhang H; Yang J; 39771685
ENCS
9 Non-invasive paper-based sensors containing rare-earth-doped nanoparticles for the detection of D-glucose López-Peña G; Ortiz-Mansilla E; Arranz A; Bogdan N; Manso-Silván M; Martín Rodríguez E; 38729020
CHEMBIOCHEM
10 Brain tumor detection based on a novel and high-quality prediction of the tumor pixel distributions Sun Y; Wang C; 38493601
ENCS
11 Tailoring plasmonic sensing strategies for the rapid and sensitive detection of hypochlorite in swimming water samples Sadiq Z; Al-Kassawneh M; Safiabadi Tali SH; Jahanshahi-Anbuhi S; 38451315
ENCS
12 Deep learning approach to security enforcement in cloud workflow orchestration El-Kassabi HT; Serhani MA; Masud MM; Shuaib K; Khalil K; 36691661
ENCS
13 Unique Photoactivated Time-Resolved Response in 2D GeS for Selective Detection of Volatile Organic Compounds Mohammadzadeh MR; Hasani A; Jaferzadeh K; Fawzy M; De Silva T; Abnavi A; Ahmadi R; Ghanbari H; Askar A; Kabir F; Rajapakse RKND; Adachi MM; 36658730
PHYSICS
14 Gold Nanoparticles-Based Colorimetric Assays for Environmental Monitoring and Food Safety Evaluation Sadiq Z; Safiabadi Tali SH; Hajimiri H; Al-Kassawneh M; Jahanshahi-Anbuhi S; 36629748
ENCS
15 Stable Cavitation-Mediated Delivery of miR-126 to Endothelial Cells He S; Singh D; Yusefi H; Helfield B; 36559150
BIOLOGY
16 Novelty detection in rover-based planetary surface images using autoencoders Stefanuk B; Skonieczny K; 36313243
ENCS
17 A Deep Learning Approach to Capture the Essence of Candida albicans Morphologies Bettauer V; Costa ACBP; Omran RP; Massahi S; Kirbizakis E; Simpson S; Dumeaux V; Law C; Whiteway M; Hallett MT; 35972285
BIOLOGY
18 Trust-Augmented Deep Reinforcement Learning for Federated Learning Client Selection Rjoub G; Wahab OA; Bentahar J; Cohen R; Bataineh AS; 35875592
ENCS
19 Microfluidic Platforms for the Isolation and Detection of Exosomes: A Brief Review Raju D; Bathini S; Badilescu S; Ghosh A; Packirisamy M; 35630197
ENCS
20 Knowledge distillation approach towards melanoma detection Khan MS; Alam KN; Dhruba AR; Zunair H; Mohammed N; 35594685
CONCORDIA
21 Extending Effective Dynamic Range of Hyperspectral Line Cameras for Short Wave Infrared Imaging Shaikh MS; Jaferzadeh K; Thörnberg B; 35270968
ENCS
22 Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images Bourouis S; Alharbi A; Bouguila N; 34460578
ENCS
23 X-Vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection From Speech Jeancolas L; Petrovska-Delacrétaz D; Mangone G; Benkelfat BE; Corvol JC; Vidailhet M; Lehéricy S; Benali H; 33679361
PERFORM
24 A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset. Rahman A, Zunair H, Reme TR, Rahman MS, Mahdy MRC 33465520
ENCS
25 Bound detergent molecules in bacterial reaction centers facilitate detection of tetryl explosive. Modafferi D, Zazubovich V, Kálmán L 32632533
PHYSICS
26 Two-stage ultrasound image segmentation using U-Net and test time augmentation. Amiri M; Brooks R; Behboodi B; Rivaz H; 32350786
IMAGING
27 How do landscape context and fences influence roadkill locations of small and medium-sized mammals? Plante J, Jaeger JAG, Desrochers A 30711836
GEOGRAPHY
28 Cluster based statistical feature extraction method for automatic bleeding detection in wireless capsule endoscopy video. Ghosh T, Fattah SA, Wahid KA, Zhu WP, Ahmad MO 29407997
IMAGING
29 Detection of abnormal resting-state networks in individual patients suffering from focal epilepsy: an initial step toward individual connectivity assessment. Dansereau CL, Bellec P, Lee K, Pittau F, Gotman J, Grova C 25565949
PERFORM
30 Detection and Magnetic Source Imaging of Fast Oscillations (40-160 Hz) Recorded with Magnetoencephalography in Focal Epilepsy Patients. von Ellenrieder N, Pellegrino G, Hedrich T, Gotman J, Lina JM, Grova C, Kobayashi E 26830767
PERFORM

 

Title:Impact of COVID-19 on incidence and trends of adverse events among hospitalised patients in Calgary, Canada: a retrospective chart review study
Authors:Wu GEastwood CACheligeer CSouthern DAZeng YGhali WABakal JABoussat BFlemons WForster AXu YQuan H
Link:https://pubmed.ncbi.nlm.nih.gov/41592994/
DOI:10.1136/bmjqs-2024-018182
Publication:BMJ quality & safety
Keywords:Adverse events, epidemiology and detectionChart review methodologiesPatient Safety
PMID:41592994 Category: Date Added:2026-01-28
Dept Affiliation: CONCORDIA
1 Health Care Management, Cape Breton University, Sydney, Nova Scotia, Canada.
2 Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
3 Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada caeastwo@ucalgary.ca.
4 Centre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
5 Cancer Care Alberta, Calgary, Alberta, Canada.
6 Concordia University, Montreal, Quebec, Canada.
7 Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
8 Vice President's Office, University of Calgary, Calgary, Alberta, Canada.
9 Health Shared Services, University of Alberta, Faculty of Medicine and Dentistry, Edmonton, Alberta, Canada.
10 Quality of Care Unit, University Hospital Centre Grenoble Alpes, Grenoble, France.
11 Department of Medicine, McGill University, Montreal, Quebec, Canada.
12 Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

Description:

Background: While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may have changed its course. This study aimed to evaluate adverse event incidence rates and trends during the pandemic and analyse differences in patient outcomes.

Methods: This retrospective electronic chart review included a random sample of adult patients admitted to four acute care hospitals in Calgary between 2017 and 2022. 18 adverse events and patient information were extracted. We calculated the observed and risk-standardised incidence rates of adverse events. Interrupted time series analysis was employed to determine the impact of COVID-19 on adverse events trends. Outcome differences were evaluated using mixed-effects logistic regression and negative binomial models.

Results: Among 10 673 patient admissions, 2310 adverse events were identified, resulting in an incidence rate of 21.64 (95% CI 20.77 to 22.54) per 100 patient admissions, or 26.85 (95% CI 25.77 to 27.97) per 1000 patient days. After adjusting for patient characteristics, seasonal variations and overall trends, the adverse event incidence rate increased by 14% (incidence rate ratio (IRR) 1.14, 95% CI 1.01 to 1.29) during the COVID-19 pandemic. In multivariable mixed-effects models, adverse events were associated with significantly longer hospital stays (IRR 3.13, 95% CI 2.97 to 3.30), increased odds of 30-day readmission (OR 1.4, 95% CI 1.17 to 1.68) and in-hospital death (OR 1.72, 95% CI 1.43 to 2.08).

Conclusion: The incidence of adverse events was high but relatively stable in acute healthcare settings before the COVID-19 pandemic and increased during the pandemic. Strengthening healthcare resilience and prioritising patient safety initiatives are crucial as we transition into the post-pandemic era.





BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University