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Record W4416263359 · doi:10.35680/2372-0247.2065

Changing Myths Into Truths: Dispelling Physician Misconceptions on Patient Experience

2025· article· en· W4416263359 on OpenAlexaff
Amit Singh, Syed Meraj Ahmed, James Castellone, Michael H. Kanter, Mikelle Key-Solle, Paul A Lansdowne, Winnie Lee, Swati Mehta, Sofie Rahman Morgan, Sephora Morrison, Susan Nathan, Sachin Tushar Patel, Alexie Puran, Donald Wickline, Liza DiLeo Thomas

Bibliographic record

VenuePatient Experience Journal · 2025
Typearticle
Languageen
FieldHealth Professions
TopicPatient Satisfaction in Healthcare
Canadian institutionsCambridge Memorial Hospital
Fundersnot available
KeywordsMythologyPatient experienceWork (physics)Scope (computer science)Work experienceHealth carePatient safety

Abstract

fetched live from OpenAlex

Patient experience work can be viewed by some physicians as outside their scope of practice and therefore the responsibility of non-medical providers. Assumptions may also be made by providers about what patient experience work is and is not. These myths can make it difficult to pursue meaningful patient experience related work that is in fact rooted in evidence showing improved outcomes. Moreover, these myths can downplay the importance of patient experience improvement work discouraging physicians who may be interested from pursuing it. In order to combat common myths that can be propagated about patient experience, the authors will cite research to dispel commonly held beliefs and instead convert them into truths that demonstrate patient experience work truly is essential to healthcare organizations and should be pursued by clinicians as part of their non-clinical work.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.208
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
Bibliometrics0.0010.001
Science and technology studies0.0050.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.056
GPT teacher head0.439
Teacher spread0.383 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations0
Published2025
Admission routes1
Has abstractyes

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