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Record W2234871871 · doi:10.1177/1357633x15625136

Management of infectious diseases in remote northwestern Ontario with telemedicine videoconference consultations

2016· article· en· W2234871871 on OpenAlexaffabout
Jai Mashru, Michael Kirlew, Raphael Saginur, Yoko Schreiber

Bibliographic record

VenueJournal of Telemedicine and Telecare · 2016
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsOttawa HospitalUniversity of OttawaNOSM UniversityUniversity of Guelph
Fundersnot available
KeywordsMedicineTelemedicineInfectious disease (medical specialty)Medical emergencyFamily medicineHealth careDiseasePathology

Abstract

fetched live from OpenAlex

) and is home to 32 remote First Nations communities, most without road access. These communities suffer a heavy burden of infectious disease and specialist consultations are difficult to obtain. The Division of Infectious Diseases at the Ottawa Hospital and the Sioux Lookout Meno Ya Win Health Centre established a telemedicine-based infectious disease consultation service in July 2014. We describe the implementation of this service, types of cases seen and patient satisfaction, as well as some of the challenges encountered. Information on visits was prospectively collected through an administrative database, and patient satisfaction surveys were administered after each initial consultation. During our first year of operation, 191 teleconsultations occurred: 76 initial consultations, 82 follow-up appointments and 33 case conferences. The scope of cases has been broad, mostly involving musculoskeletal infections (26%), followed by skin and soft tissue infections (23%). HCV, acute rheumatic fever, and respiratory infections (including pulmonary tuberculosis) were other diagnoses. Patient satisfaction has been very high and 28 telemedicine patient visits have occurred in their remote home communities, minimizing travel. The infectious disease consulting service and local clinicians have succeeded in addressing needs for care in infectious diseases in northwestern Ontario, where important gaps in service to First Nations' communities continue to exist. Regular scheduled available access to an infectious disease specialist is a well-received advancement of care in this remote region of 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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score0.870

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.015
GPT teacher head0.297
Teacher spread0.282 · 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 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

Citations41
Published2016
Admission routes2
Has abstractyes

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