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Record W649855599 · doi:10.21427/d7bb8s

Strategic Change in the Irish Health Services: Comparative Case Studies in Planning

2009· article· en· W649855599 on OpenAlexaboutno aff
Vivienne Byers

Bibliographic record

VenueArrow@dit (Dublin Institute of Technology) · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsnot available
Fundersnot available
KeywordsIrishStrategic planningBusinessProcess managementPolitical scienceOperations managementMarketingEngineering

Abstract

fetched live from OpenAlex

This paper reports on a study of the implementation of service planning in the Irish health services in the context of significant organisational change. One of the central mechanisms of the Strategic Management Initiative (SMI) is the devolution of accountability and responsibility from the centre to executive agencies. Service planning in the Irish health care sector is seen as part of this strategic planning ethos.\nThis study in examining the function and implementation of the service plan in the Irish health care system drew comparisons with the Canadian experience. A multiple case study design was utilised. Key research questions were tested through analysis of legislation and documentation as well as qualitative interviews with middle and senior management throughout the health care system. The choice was made to study the dynamics of strategic change in their setting by investigating a number of health boards during 2004-2005. The focal points of analysis were structured around three cases in the Irish context and one case in the Canadian context, as well as accounting for the wider institutional influences; the context in which those cases were situated. This wider view included looking at other stakeholder perspectives, including government and other health care organisations in the health care system, and examining the legislative influence.\nThe study narrowed down the conceptual framework to a number of key problems with the Irish experience. The implications for practice derived from the case analysis are presented.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.680
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
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 head0.395
GPT teacher head0.503
Teacher spread0.107 · 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 designQualitative
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

Citations0
Published2009
Admission routes1
Has abstractyes

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