Sustainable Design for Health Care Facilities: A Case Study of the LEED® Certified Rincon Community Hospital at Civano
Bibliographic record
Abstract
This Master’s Report focuses on applying sustainable design principles to the design of Rincon Community Hospital at Civano a new healthcare facility being planned for Tucson. Civano is a pre-planned sustainable community located in Tucson, Arizona that demonstrates efficient utilization of resources and planning. Based upon the principle of human thermal comfort, the proposed hospital design emphasizes integration with the surrounding environment by focusing on the relationship of the indoor and outdoor spaces. This includes maximizing the effective use of adjacent open air spaces, transitional spaces, and courtyards that are designed to maximize thermal comfort by working with the local climate to create comfortable microclimates around the building. Rincon Community Hospital at Civano also demonstrates the application of Leadership in Energy and Environmental Design (LEED®) principles during the design process. The proposed design for the hospital utilizes passive solar design, daylighting, earth cooling, and building orientation to create comfortable environments for human occupation that require less energy than specified by ASHRAE Standard 90.1 1999. To achieve these goals, the hospital design was developed through analysis of the physical characteristics of the site, potential for LEED® scoring, and energy analysis. The results are presented as annotated plan, section and perspective images. It is hoped that this methodology can be applied to future development of sustainable healthcare facilities in desert environments that create healthy natural environments to aid patient healing and accelerate their recovery process.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".