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Record W2338498955 · doi:10.5210/ojphi.v8i1.6482

Facilitating the Sharing of Patient Information Between Health Care Providers

2016· article· en· W2338498955 on OpenAlexaffabout
Kieran Moore, Paul Bélanger

Bibliographic record

VenueOnline Journal of Public Health Informatics · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHealthcare Systems and Technology
Canadian institutionsKingston Health Sciences Centre
Fundersnot available
KeywordsWorkflowPatient portalHealth careHealth information technologyAgency (philosophy)Patient carePlan (archaeology)MedicineProcess (computing)Data sharingKnowledge managementMedical emergencyProcess managementNursingComputer scienceDatabaseBusinessAlternative medicine

Abstract

fetched live from OpenAlex

The South Eastern Integrated Information Portal (SHIIP) is a portal-based technology solution that provides real-time feedback and summarized data to enhance and help plan care. This tool supports the Health Links program, which provides a new model for care in Ontario at the clinical level, in which all health care services in a community accessed by a patient are coordinated into a single plan. SHIIP provides the technology to enables a multi-agency care process by collecting patient demographic and clinical data from hospital databases. Some projected benefits include enhanced patient experience, reduced workflow and improvements in the efficiency of access to patient information.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.969
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
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 head0.052
GPT teacher head0.305
Teacher spread0.254 · 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 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

Citations2
Published2016
Admission routes2
Has abstractyes

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