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Record W4416221279 · doi:10.1302/1358-992x.2025.13.110

MSK EXPANDED CENTRAL INTAKE

2025· article· en· W4416221279 on OpenAlexaff
K. Desjardine

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsCanadian Criminal Justice Association
Fundersnot available
KeywordsReferralOrthopedic surgeryPatient careScope (computer science)MEDLINEScope of practiceService (business)Triage

Abstract

fetched live from OpenAlex

To present on the benefits and challenges of an expanded musculoskeletal central intake, a virtual center that consolidates referrals for orthopedic consult regarding various appropriate chronic musculoskeletal conditions to a centralized location. Referrals can then be directed to a specific Rapid Access Clinic, a specific surgeon or the first available surgeon as quickly as possible. This allows for fair, equitable and timely distribution of referrals and improved access to care for patients. Prior to a central intake model access to specialists was challenging, resulting in prolonged wait times for consultation. The region already had in place, an established a Rapid Assessment Clinic (RAC) for Hips and Knees. The MSK Expandd central intake scope of referrals was restricted to Shoulder, Spine, Knee Arthroscopy (Knee condititon) and Foot and Ankle as these referrals had prolonged patient wait times for consultations by orthorpedic surgeons. This resulted in many patients being placed on excessively long wait lists for years. All referrals sent to central intake center (CIC) are reviewed to ensure they are appropriate complete and accurate. Referrals are reviewed to ensure that the diagnostic imaging reports accompanying the referral comply with best practice guidelines and clinical expert consensus. If the condition for which the patient is referred is appropriate for a Rapid Assessment Clinic, the referral will be forwarded to the site closest to their home. All other referrals will be forwarded to the most suitable surgeon based on the clinical information provided. Alternatively, a specific surgeon can be requested. Will discuss limitations in the variation of service providers and methods and ongoing challenges of lack of services offered in other regions. Results provided will be an overall number of referrals into the MSK central intake program including the number of declined referrals. Initial results pre- pandemic demonstrated a decrease in wait time 1- time from referral to assessor, and the number of referrals deemed to be non-surgical by the assessor. Data will include the number of referrals being sent to first available surgeon. An expanded regional musculoskeletal central intake model is beneficial in addressing a greater scope of referrals for chronic orthopaedic conditions. It provides patients a means to timely access to care and services. It enables primary care providers to send one referral to a central location rather than sending multiple referrals to multiple specialists of the same discipline in an effort to access care for their patient, leading to duplicate referrals throughout the region.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.010
GPT teacher head0.233
Teacher spread0.222 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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