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Record W1781519844

Health PEI's Vision: Completing the Island's E-health Bridge to Healthcare Delivery Integration

2010· article· en· W1781519844 on OpenAlexaboutno aff
Patrick Powers

Bibliographic record

VenueElectronicHealthcare · 2010
Typearticle
Languageen
FieldHealth Professions
TopicMedical Research and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careNursingMedicineLegislatureBusinessPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Branded as “One Island Community, One Island Future, One Island Health System,” the recently renewed primary care–focused vision for PEI’s integrated healthcare delivery requires changes in clinical practices across the island-wide continuum of services and facilities. Critical to effecting changes in the clinical environment is completion of the provincial interoperable electronic health record (iEHR). The heart of the EHR is its Clinical Information System (CIS), with the planned implementation to be completed in three phases. Health PEI will then implement an EMR solution in physician offices and integrate it with the Island’s hospitals. For Health PEI’s seven acute care facilities, the mean 2009 HIMSS Analytics EMRAM score was 2.0727. From the pan-Canadian perspective, Health PEI currently ranks fifth among 13 provinces and territories for mean EMRAM score. On July 6, 2010, Health PEI assumed responsibility from Prince Edward Island’s (PEI) Department of Health and Wellness for the newly created One Island Health System, which currently oversees 4,122 nurses, physicians and other healthcare personnel who deliver comprehensive health services to the Island’s 141,000 residents (Legislative Counsel Office April 2010a). As a largely rural jurisdiction, Health PEI’s main objective is to refocus “... the care delivery system on primary health care and services that can appropriately and safely be provided locally” (Department of Health and JRS Partners, November 2009a). Three additional dimensions of healthcare delivery that the new health system seeks to address, which support the renewed emphasis on primary healthcare, are: • An enhanced system of delivery for home-based care • Focused integration of acute and facility-based care • Investment in system enablers including processes, services and functions supporting effective management of the system These four dimensions of renewed healthcare delivery for PEI are to be integrated within a new patient-centric, rather than hospital-centric, model of care that places patients and families at the centre of the care team (Department of Health 2009c). Branded as “One Island Community, One Island Future, One Island Health System,” the recently renewed primary care– focused vision for integrated healthcare delivery requires essential changes in clinical practices across the island-wide continuum of services and facilities (Department of Health 2009b). Critical to effecting changes in the clinical environment is completion of the provincial interoperable electronic health record (iEHR) that is intended to provide the seamless exchange of patient information between all practitioners, facilities and services. Changes in the

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.848
Threshold uncertainty score0.301

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0110.011
Open science0.0020.017
Research integrity0.0070.012
Insufficient payload (model declined to judge)0.0180.004

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 head0.092
GPT teacher head0.526
Teacher spread0.434 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations0
Published2010
Admission routes1
Has abstractyes

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