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Record W7102544766 · doi:10.59945/jpnm.v3i2.588

Kolaborasi BIM Dan IPD Untuk Optimalisasi Perancangan Rumah Sakit Berbasis Healing Environment

2025· article· W7102544766 on OpenAlexaff

Bibliographic record

VenueJPNM Jurnal Pustaka Nusantara Multidisiplin · 2025
Typearticle
Language
FieldHealth Professions
TopicOccupational Health and Safety Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsInformation system

Abstract

fetched live from OpenAlex

Transformasi paradigma perancangan fasilitas kesehatan menuju healing environment memerlukan pendekatan integratif yang mengoptimalkan aspek terapeutik, fungsional, dan teknologis. Penelitian ini menganalisis kolaborasi antara teknologi Building Information Modeling (BIM) dan metodologi Integrated Project Delivery (IPD) dalam konteks optimalisasi perancangan rumah sakit berbasis healing environment. Metodologi penelitian menggunakan studi pustaka dengan analisis deskriptif terhadap literatur tahun 2021-2025 dari database akademik terpercaya. Temuan menunjukkan bahwa integrasi BIM-IPD menciptakan platform sinergis yang memfasilitasi simulasi multidimensional parameter terapeutik dan proses kolaboratif multidisiplin. Sinergi teknologi pemodelan canggih dengan struktur tata kelola kolaboratif menghasilkan sistem pendukung keputusan yang dapat mengoptimalkan hasil klinis sambil mempertahankan efisiensi operasional. Kerangka implementasi terintegrasi yang dikembangkan menyediakan panduan praktis untuk adopsi metodologi dalam industri konstruksi kesehatan, memfasilitasi penciptaan lingkungan penyembuhan yang responsif dan berkelanjutan.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.002
Science and technology studies0.0060.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.043
GPT teacher head0.380
Teacher spread0.337 · 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
Published2025
Admission routes1
Has abstractyes

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