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Record W2329868580 · doi:10.1177/1460458214551846

Boundary objects in clinical simulation and design of eHealth

2014· article· en· W2329868580 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealth Informatics Journal · 2014
Typearticle
Languageen
FieldComputer Science
TopicPersona Design and Applications
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordseHealthBoundary (topology)Computer scienceHuman–computer interactionHealth carePolitical scienceMathematicsMathematical analysis

Abstract

fetched live from OpenAlex

Development and implementation of eHealth is challenging due to the complexity of clinical work practices and organizations. Standardizing work processes and documentation procedures is one way of coping with these challenges, and acceptance of these initiatives and acceptance of the clinical information system are vital for success. Clinical simulation may be used as "boundary objects" and help transferring of knowledge between groups of stakeholders and help to better understand needs and requirements in other parts of the organization. This article presents a case study about design of electronic documentation templates for nurses' initial patient assessment, where clinical simulation was used as a boundary object and thereby achieved mutual clinical agreement on the content. Results showed that meetings prior to and in between workshops allowed all communities of practice an opportunity to voice their point of view and affect the final result. Implications of considering clinical simulations as boundary objects are discussed.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.942
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.093
GPT teacher head0.396
Teacher spread0.303 · 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