A hybrid HFACS model using DEMATEL-ORESTE method with linguistic Z-number for risk analysis of human error factors in the healthcare system

Q Zheng, X Liu, W Wang, S Han - Expert Systems with Applications, 2024 - Elsevier
The human error factor is one of the leading causes of medical errors. Among risk analysis
techniques for human error factors, HFACS (Human Factor Analysis and Classification …

Safety in radiation oncology (SAFRON): Learning about incident causes and safety barriers in external beam radiotherapy

M Zarei, V Gershan, O Holmberg - Physica Medica, 2023 - Elsevier
Abstract Purpose Safety in Radiation Oncology (SAFRON) is a reporting and learning
system on radiotherapy and radionuclide therapy incidents and near misses. The primary …

Causal analysis of radiotherapy safety incidents based on a hybrid model of HFACS and Bayesian network

H He, X Peng, D Luo, W Wei, J Li, Q Wang… - Frontiers in Public …, 2024 - frontiersin.org
Objective This research investigates the role of human factors of all hierarchical levels in
radiotherapy safety incidents and examines their interconnections. Methods Utilizing the …

A new approach proposal for ensuring security engineering through Barrier and Operational Quantitative Risk Analysis (BOQRA)

MS HELLAS, R CHAIB, D NETTOUR… - Journal of Loss …, 2024 - Elsevier
The advancement in petrochemical industry has led to a significant increase in accidents, a
concern that cannot overlooked if we aim to ensure the safety of our systems while still …

Clinical effects of re-evaluating a lung SBRT failure mode and effects analysis in a radiotherapy department

S Benavente, A Giraldo, A Seoane, M Ramos… - Clinical and …, 2024 - Springer
Purpose The increasing complexity of radiation treatments can hinder its clinical success.
This study aimed to better understand evolving risks by re-evaluating a Failure Mode and …

Results of an AI-based image review system to detect patient misalignment errors in a multi-institutional database of CBCT-guided radiotherapy treatments

DC Luximon, J Neylon, T Ritter, N Agazaryan… - 2024 - escholarship.org
PurposePresent knowledge of patient setup and alignment errors in image guided radiation
therapy (IGRT) relies on voluntary reporting, which is thought to underestimate error …

Results of an Artificial Intelligence–Based Image Review System to Detect Patient Misalignment Errors in a Multi-institutional Database of Cone Beam Computed …

DC Luximon, J Neylon, T Ritter, N Agazaryan… - International Journal of …, 2024 - Elsevier
Purpose Present knowledge of patient setup and alignment errors in image guided radiation
therapy (IGRT) relies on voluntary reporting, which is thought to underestimate error …

Consolidating the Safety of Cone-Beam Computed Tomography Guided Radiotherapy through a Deep Learning-Based Patient Setup Error Detection System.

DC Luximon - 2024 - escholarship.org
Although safety procedures are in place within the radiation therapy (RT) workflow, incidents
are still occurring due to human errors. To enhance patient safety, it is critical to identify and …

Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center

K Adapa, G Tracton, P Mosaly, F Yu, R McGurk… - … Conference on Human …, 2023 - Springer
Academic radiation oncology centers have a long history of developing in-house quality
assurance (QA) checklists to promote patient safety. These checklists are designed without …