Designing for Patient Safety and Efficiency: Simulation-Based Hospital Design Testing

• Published in: HERD Vol. 13; no. 4; pp. 68 - 80
• Main Authors: Colman, Nora, Edmond, Mary Bond, Dalpiaz, Ashley, Walter, Sarah, Miller, David C., Hebbar, Kiran
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01.10.2020
• Subjects: patient safety; new facilities; children’s hospital; human factors; quality improvement
• ISSN: 1937-5867; 2167-5112
• DOI: 10.1177/1937586720921777

Objective: In the schematic design phase of a new freestanding children’s hospital, Simulation-based Hospital Design Testing (SbHDT) was used to evaluate the proposed design of 11 clinical areas. The purpose of this article is to describe the SbHDT process and how it can help identify and mitigate safety concerns during the facility design process. Background: In the design of new healthcare facilities, the ability to mitigate risk in the preconstruction period is imperative. SbHDT in a full-scale cardboard mock-up can be used to proactively test the complex interface between people and the built environment. Method: This study was a prospective investigation of SbHDT in the schematic design planning phase for a 400-bed freestanding children’s hospital where frontline staff simulated episodes of care. Latent conditions related to design were identified through structured debriefing. Failure mode and effect analysis was used to categorize and prioritize simulation findings and was used by the architect team to inform design solutions. A second round of testing was conducted in order to validate design changes. Results: A statistically significant reduction in criticality scores between Round 1 (n = 201, median = 16.14, SD = 5.8) and Round 2 (n = 201, median score of 7.68, SD = 5.26, p < .001) was identified. Bivariate analysis also demonstrated a statistically significant reduction in very high/high criticality scores between Round 1 and Round 2. Conclusions: SbHDT in the schematic phase of design planning was effective in mitigating risk related to design prototypes through effective identification of latent conditions and validation of design changes.