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Record W2265748730

Canada Health Infoway - Towards a National Interoperable Electronic Health Record (EHR) Solution.

2005· article· en· W2265748730 on OpenAlexaffabout
Dennis Giokas

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldHealth Professions
TopicElectronic Health Records Systems
Canadian institutionsCanada Health Infoway
Fundersnot available
KeywordsInteroperabilitySoftware deploymentGeneral partnershipElectronic health recordHealth recordsBusinessHealth information exchangePlan (archaeology)Cross-domain interoperabilityHealth dataKnowledge managementSemantic interoperabilityProcess managementComputer scienceHealth careWorld Wide WebPolitical scienceHealth informationFinanceGeographySoftware engineering
DOInot available

Abstract

fetched live from OpenAlex

Canada Health Infoway Inc. (Infoway) is leading Canada's initiative to develop interoperable electronic health records (EHRs) and accelerate their adoption nationwide. Specifically, Infoway's core business is to invest with its partners-primarily provincial and territorial governments-in the development of robust, interoperable EHR solutions and in their deployment and replication across Canada. This partnership approach produces results faster, more cost-efficiently and more effectively than if any one partner acted alone.This chapter presents a high-level view of Infoway's seven-year plan to have the basic elements of interoperable EHRs in place across 50 percent of Canada by the end of 2009. In particular, the chapter discusses the business and technical approaches that have been developed to pursue Infoway's aggressive goal. These approaches allow individual jurisdictions to deliver local and regional solutions cost-effectively while contributing to a larger, interoperable national system.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.837
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.364
Teacher spread0.305 · 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 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".

Quick stats

Citations26
Published2005
Admission routes2
Has abstractyes

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