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Record W3010328858

호스피스 시설기준 수립을 위한 디자인 가이드라인 비교연구

2019· article· ko· W3010328858 on OpenAlexaboutno aff
이수경, 윤형진

Bibliographic record

Venue의료·복지 건축(구 한국의료복지시설학회지) · 2019
Typearticle
Languageko
FieldMedicine
TopicDiverse Approaches in Healthcare and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGuidelineFlexibility (engineering)MedicineHospice careNursingIsolation (microbiology)Medical emergencyPalliative care
DOInot available

Abstract

fetched live from OpenAlex

Purpose: This study aims to analyze design guidelines for hospice facilities in the US, UK, and Canada focused on design considerations and space requirements, and utilizes them as baseline data for establishing standards for Korean hospice facilities. Methods: Comparative review was carried out to investigate hospice care models, design consideration, and room sizes and requirements for design guideline of hospice facilities in United States, UK and Canada identified on electronic database and review articles, and to examine major characteristics and tendencies of hospice facilities. Results: The hospice care models characteristics in design guidelines is generally largely divided into hospital-based hospice facility, Nursing home-based hospice facility, and daycare hospice. The design considerations in hospice facilities focused on medical efficiency, flexibility, barrier-free environment, person-centered care, and stability. There is also a need for single resident room, rooms for the patient''s family, and isolation room for infection control. Implications: it is recommended to establish standards for the installation and operation of required and recommended rooms and considerations when establishing the standards of hospice facilities in Korea. This Study is limited to a simple comparative analysis of the framework of guideline.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.029

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 head0.084
GPT teacher head0.355
Teacher spread0.271 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venue의료·복지 건축(구 한국의료복지시설학회지)Same topicDiverse Approaches in Healthcare and Education StudiesFrench-language works237,207