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Record W2990038181 · doi:10.1002/aet2.10422

Stress Testing the Resuscitation Room: Latent Threats to Patient Safety Identified During Interprofessional In Situ Simulation in a Canadian Academic Emergency Department

2019· article· en· W2990038181 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAEM Education and Training · 2019
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsRoyal College of Physicians and Surgeons of CanadaUniversity of Ottawa
Fundersnot available
KeywordsDebriefingEmergency departmentPatient safetyObservational studyHealth careMedical emergencyResuscitationMedicineQuality (philosophy)Quality managementHarmSimulated patientNursingMedical educationEmergency medicinePsychologyOperations managementEngineering

Abstract

fetched live from OpenAlex

OBJECTIVES: Emergency department (ED) resuscitation is a complex, high-stakes procedure where positive outcomes depend on effective interactions between the health care team, the patient, and the environment. Resuscitation teams work in dynamic environments and strive to ensure the timely delivery of necessary treatments, equipment, and skill sets when required. However, systemic failures in this environment cannot always be adequately anticipated, which exposes patients to opportunities for harm. METHODS: As part of a new interprofessional education and quality improvement initiative, this prospective, observational study sought to characterize latent safety threats (LSTs) identified during the delivery of in situ, simulated resuscitations in our ED. In situ simulation (ISS) sessions were delivered on a monthly basis in the EDs at each campus of a large tertiary care academic hospital system, during which a variety of scenarios were run with teams of ED health care professionals. LSTs were identified by simulation facilitators and participants during the case and debriefing and then grouped thematically for analysis. RESULTS: During the study period, 22 ISS sessions were delivered, involving 58 cases and reaching 383 ED health care professionals. 196 latent safety threats were identified through these sessions (mean = 3.4 LSTs per case) of which 110 were determined to be "actionable" at a system level. LSTs identified included system/environmental design flaws, equipment problems, failures in department processes, and knowledge/skill gaps. Corrective mechanisms were initiated in 85% of actionable cases. CONCLUSIONS: Effective quality improvement and continuing education programs are essential to translate these findings into more resilient patient care. ISS, beyond its role as a training tool for developing intrinsic and crisis resource management skills, can be effectively used to identify system issues in the ED that could expose critically ill patients to harm.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.070
GPT teacher head0.391
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it