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Record W2220940508 · doi:10.1097/jac.0b013e31820ef653

Creating Clinical and Economic “Wins” Through Integrated Case Management

2011· article· en· W2220940508 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

VenueJournal of Ambulatory Care Management · 2011
Typearticle
Languageen
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsEmergent BioSolutions (Canada)
Fundersnot available
KeywordsHealth careCase managementResistance (ecology)Outcome (game theory)Value (mathematics)NursingMental healthMedicineBusinessHealth management systemPsychiatryComputer scienceAlternative medicinePolitical science

Abstract

fetched live from OpenAlex

The 5% of patients using 50% of health resources commonly have interacting and persistent multimorbid illnesses; concurrent mental health problems; impaired social networks; and/or difficulties in accessing care through the health system. To improve outcomes in these patients, it is necessary to overcome clinical and nonclinical barriers that lead to poor health, treatment resistance, high health care cost, and disability. This article describes an innovative complexity-based and outcome-oriented approach using integrated case management. It helps treating physicians and health administrators understand how to incorporate value-based case managers to optimize care for complex patients while better utilizing resources.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.059
GPT teacher head0.347
Teacher spread0.288 · 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