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FAILURES IN AUDITS AND MEDICAL BOARDS IN THE EVALUATION FOR SPINE SURGERY AUTHORIZATION IN BRAZIL

2025· article· en· W4413247323 on OpenAlexaff
RODRIGO ANTONIO ROCHA DA CRUZ ADRY

Bibliographic record

VenueColuna/Columna · 2025
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsHealth Care Foundation
Fundersnot available
KeywordsAuditImpartialityDenialBusinessMedicineAudit planAccountingMedical emergencyJoint auditInternal auditPsychologyPolitical science

Abstract

fetched live from OpenAlex

ABSTRACT Objective: The audit and medical board in surgeries focuses on the evaluation and adequacy of surgical procedures. The objective was to compare whether the evaluations were in line with the resolutions of the Federal Council of Medicine (CFM) and the standards of the National Health Agency (ANS) in conducting audits for the release of spinal surgical procedures. Methods: The research was conducted through document analysis of the results of audits and medical boards for the evaluation and release of surgical procedures in neurosurgery and spinal surgery. Results: A total of 55 audits were evaluated. The most frequent failures on the part of the audit were the denial of material in 49 audits (89.09%) and the denial of procedure in 46 audits (83.63%), which effectively vetoed the procedure. Conclusion: The failures identified in the audits and medical boards of surgeries can compromise the impartiality and quality of the audit process. These failures can lead to an increase in complaints from health insurance companies to other regulatory agencies. Level of Evidence IV; Economic and Decision Analysis.

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)0.015
metaresearch head score (Gemma)0.039
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.166
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.039
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 integrity0.0000.001
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 head0.080
GPT teacher head0.511
Teacher spread0.431 · 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 designObservational
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

Citations1
Published2025
Admission routes1
Has abstractyes

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