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Record W4324045954 · doi:10.7759/cureus.36076

Twenty-first-Century Skills: Teaching Empathy to Health Professions Students

2023· editorial· en· W4324045954 on OpenAlexaff
Eva Peisachovich, Megha Kapoor, Celina Da Silva, Zipora Rahmanov

Bibliographic record

VenueCureus · 2023
Typeeditorial
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsYork University
Fundersnot available
KeywordsEmpathyFeelingMedicinePerspective (graphical)Medical educationCurriculumMeaning (existential)NursingPsychologyPedagogyPsychotherapistSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

A key component of therapeutic relationships is the ability of medical professionals to empathize with patients, as research indicates a link between a healthcare worker's ability to empathize with patients and improved patient outcomes. Empathy - the ability to perceive the meaning and feelings of another and to communicate those feelings to others - may be an innate concept, but it is shaped through behaviours and experiences. It is imperative, then, that post-secondary students entering the medical field be taught to develop empathy in order to facilitate positive patient outcomes. Embedding empathy-based education in the curriculum of medical, nursing, and allied health programs early in the course of study can help students understand the patient's perspective and facilitate positive therapeutic relationships early in students' professional careers. The shift from traditional teaching and learning styles to online learning has created deficiencies such as gaps in communication, empathy, and the development of emotional intelligence. To address these gaps, new and innovative ways to teach empathy, such as simulation, can be employed.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.052
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.021
GPT teacher head0.398
Teacher spread0.377 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations11
Published2023
Admission routes1
Has abstractyes

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