SAFEE: A Debriefing Tool to Identify Latent Conditions in Simulation-based Hospital Design Testing.

In the process of hospital planning and design, the ability to mitigate risk is imperative and practical as design decisions made early can lead to unintended downstream effects that may lead to patient harm. Simulation has been applied as a strategy to identify system gaps and safety threats with the goal to mitigate risk and improve patient outcomes. Early in the pre-construction phase of design development for a new free-standing children's hospital, Simulation-based Hospital Design Testing (SbHDT) was conducted in a full-scale mock-up. This allowed healthcare teams and architects to actively witness care providing an avenue to study the interaction of humans with their environment, enabling effectively identification of latent conditions that may lay dormant in proposed design features. In order to successfully identify latent conditions in the physical environment and understand the impact of those latent conditions, a specific debriefing framework focused on the built environment was developed and implemented. This article provides a rationale for an approach to debriefing that specifically focuses on the built environment and describes SAFEE, a debriefing guide for simulationists looking to conduct SbHDT.

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

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.

Simulation-based clinical systems testing for healthcare spaces: from intake through implementation.

Healthcare systems are urged to build facilities that support safe and efficient delivery of care. Literature demonstrates that the built environment impacts patient safety. Design decisions made early in the planning process may introduce flaws into the system, known as latent safety threats (LSTs). Simulation-based clinical systems testing (SbCST) has successfully been incorporated in the post-construction evaluation process in order to identify LSTs prior to patient exposure and promote preparedness, easing the transition into newly built facilities. As the application of simulation in healthcare extends into the realm of process and systems testing, there is a need for a standardized approach by which to conduct SbCST in order to effectively evaluate newly built healthcare facilities. This paper describes a systemic approach by which to conduct SbCST and provides documentation and evaluation tools in order to develop, implement, and evaluate a newly built environment to identify LSTs and system inefficiencies prior to patient exposure.