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Record W4382319862 · doi:10.12669/pjms.39.4.7145

Healthcare Simulation: An effective way of learning in health care

2023· review· en· W4382319862 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

VenuePakistan Journal of Medical Sciences · 2023
Typereview
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsAthabasca University
Fundersnot available
KeywordsDebriefingHealth careCINAHLMedicinePreparednessMEDLINECurriculumMedical educationSet (abstract data type)NarrativeComputer scienceNursingPsychological interventionPsychologyPedagogy

Abstract

fetched live from OpenAlex

Background and Objective: Simulation-based learning has been a part of teaching in healthcare for a long time; however, in recent decades, simulation-based learning has been adopted by a significant number of healthcare institutes at different levels to improve practical skills, confidence, and preparedness to ensure patient safety and its application in real-life situations towards better patient care. The main objective of this paper was to use existing literature to explore aspects of simulation in healthcare teaching. Methods: It is a narrative review on simulation in healthcare that was conducted by using various search engines for English-language articles published between 2010 and August 2020. The main search terms were simulation, healthcare teaching, and simulation in healthcare. All articles found relevant to the title and/or abstract were retrieved. Searches were conducted using the academic databases PubMed, Google Scholar, MEDLINE, CINAHL, and Athabasca University (AU) library site. The studies were reviewed if they were considered relevant to the search by the primary authors. Results: Thirty-nine articles, which met the pre-set criteria, were analyzed and employed as a reference in this paper to support the idea that simulation is an effective way of learning in healthcare. Conclusion: This paper reviewed various aspects of simulation, including its background, philosophies, and highlighted the advantages and disadvantages of incorporating simulation as a pedagogical approach into current educational curriculums for healthcare students. Furthermore, it presents a brief discussion on the current uses of simulation, followed by the educational strategies related to simulation and the importance of debriefing in simulation activities. doi: https://doi.org/10.12669/pjms.39.4.7145 How to cite this: Saleem M, Khan Z. Healthcare Simulation: An effective way of learning in health care. Pak J Med Sci. 2023;39(4):1185-1190. doi: https://doi.org/10.12669/pjms.39.4.7145 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.941
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.165
GPT teacher head0.559
Teacher spread0.394 · 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