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Record W2320455455 · doi:10.15766/mep_2374-8265.592

CMS Transportable Simulation-Based Training Curriculum in Patient Safety

2009· article· en· W2320455455 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.

Bibliographic record

VenueMedEdPORTAL · 2009
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCurriculumLandmarkMedical educationPatient safetyTraining (meteorology)Process (computing)Computer scienceMedical physicsMedicinePsychologyArtificial intelligencePedagogyPolitical scienceOperating systemGeography

Abstract

fetched live from OpenAlex

Abstract Introduction Patient safety has received significant press and funding for advancement since the landmark Institute of Medicine report in 1999. However, the difficult process of fostering cultural change in medicine requires that new educational methods, curricula, and assessment tools be instituted at the earliest possible opportunity in medical education. Simulation offers a method to assess performance in low-frequency but high-risk situations in an environment closely replicating daily clinical work. Methods This modular package is a transportable simulation-based curriculum designed to provide patient safety and human factors training for health care providers and learners. The curriculum identifies certain ACGME-designated competency domains as being amenable to assessment by simulation. Separately, probe instruments meant to evaluate learner retention of module teaching points and to serve in larger-scale validation studies are specified. The curriculum presents these competency domains and investigative probes within each module's simulation case. The specific areas of focus are (1) clinician recognition of cognitive biases that lead to diagnostic error, (2) teamwork in emergent resuscitations, (3) authority gradients and cultural change (e.g., medical error disclosure), and (4) transitions in care. These elements have repeatedly been determined to contribute significantly to preventable medical error. Using PowerPoint slide shows and simulation cases, the component modules are designed to educate and evaluate health care providers of all levels in these critical patient safety issues. Clinical content of the included simulation cases covers (1) difficult airway management, (2) multipatient multitrauma management, (3) toxic acetaminophen ingestion and antidote complications, and (4) contrast anaphylactoid reaction. Through these participatory learning exercises, the curriculum attempts to promote and ingrain a culture of safety in the participants. Results Participant surveys and performance data of residents and teams were collected and uniformly showed high levels of acceptance and satisfaction with simulation-based medical education. Although measurement of actual improvement in patient outcomes was not possible, surrogate measures of performance were collected. Discussion In a program jointly supported by this project and the study site's risk management department, pediatric residents demonstrated improvement in crucial skills such as airway and resuscitation management, team performance, and overall competency. The modules have been compiled into a stand-alone package for dissemination as a ready reference and for future collaborative research efforts.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score1.000

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)0.0010.000

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 head0.032
GPT teacher head0.338
Teacher spread0.307 · 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