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Electronic operative reports to support quality improvement and patient-centered care.

2016· article· en· W2591267078 on OpenAlexaffabout
Shaheena Mukhi, Elaine Maloney, Mary Agent-Katwala, Geoff Porter

Bibliographic record

VenueJournal of Clinical Oncology · 2016
Typearticle
Languageen
FieldMedicine
TopicDigital Imaging in Medicine
Canadian institutionsCanadian Partnership Against Cancer
Fundersnot available
KeywordsMedicineQuality assurancePatient careMedical physicsGeneral surgeryMedical emergencyFamily medicineSurgeryNursing

Abstract

fetched live from OpenAlex

95 Background: Operative reports (OP) for cancer surgery are usually narrated, although they provide inconsistent and incomplete information for patient care. National standards for cancer OP were unavailable until 2007. Over 10 years, surgeons in four Canadian provinces have transitioned from narrative to electronic synoptic reporting (ESP) for specific cancers. The electronic OP are now considered a patient medical record and integral to subsequent patient care. Surgeons are using electronic reports for quality assurance, billing, medical-legal conflict resolution and research. Methods: Disease-site expert panels were formed to bring together surgeons to discuss, identify, develop and form consensus on a core set of elements for breast, colorectal, ovary, endometrial, lung, prostate, and thyroid cancer surgeries and 64 quality indicators to set practice standards to consistently and comprehensively record pre-operative, operative procedures, intra-operative observations and pathology, clinical stage findings, complications and outcomes. These standards were implemented using ESP in four provinces and a mixed methods evaluation was carried out. Results: 245 surgeons in academic and community hospitals piloted and implemented pan-Canadian standards and generated 2000 synoptic reports and 729 discharge summaries over six months. In comparison to narrative reports, surgeons reported that the electronic synoptic reports: Capture complete and essential content (89% - 96%), 50% more; Contain 25 – 50 items vs. 2000 narrated words; Faster completion and turnaround time (5- 15 minutes) vs. 5 days; Rapid transmission to patient charts (91% in 1 hour and 97% within 24 hours) vs. 30 – 90 days; Result in cost savings $90/case; Enable performance measurement of surgical care to assess quality and outcome of surgery (e.g., residual disease and survival in patients) and length of aggressive vs. non-aggressive surgery and hospital stay (5.49 hours and 8.39 days vs. 3.06 hours and 6.83 days). Conclusions: Surgeons are building partnerships with key players to strategize best approaches to enable a system-wide adoption and implementation of synoptic operative reporting and quality of care measurement across Canada.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
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 science0.0000.000
Research integrity0.0000.000
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 head0.091
GPT teacher head0.507
Teacher spread0.415 · 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 designOther design
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
Published2016
Admission routes2
Has abstractyes

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