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

被引:15
|
作者
Colman N. [1 ]
Dalpiaz A. [2 ]
Walter S. [3 ]
Chambers M.S. [4 ]
Hebbar K.B. [1 ]
机构
[1] Department of Pediatrics, Division of Pediatric Critical Care, Children’s Healthcare of Atlanta, 1405 Clifton Road NE, Division of Critical Care, Atlanta, 30329, GA
[2] Department of Pediatrics, Children’s Healthcare of Atlanta, 1575 Northeast Expressway, Atlanta, 30329, GA
[3] EYP Architecture and Engineering, 100 Peachtree St NW, Atlanta, 30303, GA
[4] ESa (Earl Swensson Associates), 1033 Demonbreun St., Suite #800, Nashville, 37203, TN
关键词
Built environment; Debriefing; Healthcare design; Latent conditions; Simulation;
D O I
10.1186/s41077-020-00132-2
中图分类号
学科分类号
摘要
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. © 2020, The Author(s).
引用
收藏
相关论文
共 50 条
  • [31] SITAT: Simulation-based Interface Testing Automation Tool for Robot Software Component
    Kang, Seong-Seok
    Maeng, Sang-Woo
    Kim, Si-Wan
    Park, Hong-Seong
    INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2010), 2010, : 1781 - 1784
  • [32] IMPROVING QUALITY IN AN ELECTRICAL SAFETY TESTING LABORATORY BY USING A SIMULATION-BASED TOOL
    Marelli, Pablo
    Coccola, Mariana
    Portillo, Rosana
    Rosa Tymoschuk, Ana
    2015 WINTER SIMULATION CONFERENCE (WSC), 2015, : 3322 - 3332
  • [33] SITAT: Simulation-based interface testing automation tool for robot software component
    Kang J.-S.
    Choi H.-S.
    Maeng S.-W.
    Kim S.-W.
    Park H.-S.
    Journal of Institute of Control, Robotics and Systems, 2010, 16 (06) : 608 - 616
  • [34] Design principles for simulation-based learning of hypothesis testing in secondary school
    Nilsson, Per
    Eckert, Andreas
    MATHEMATICAL THINKING AND LEARNING, 2024, 26 (04) : 359 - 381
  • [35] A structured approach to the design and simulation-based testing of factory automation systems
    Carpanzano, E
    Ballarino, A
    ISIE 2002: PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-4, 2002, : 181 - 186
  • [36] SIMULA tool for simulation-based optimization
    Sklenar, Jaroslav
    EUROPEAN SIMULATION AND MODELLING CONFERENCE 2007, 2007, : 119 - 123
  • [37] Simulation-based ship design
    Bertram, V
    Thiart, GD
    Oceans 2005 - Europe, Vols 1 and 2, 2005, : 107 - 112
  • [38] Toward simulation-based design
    Shephard, MS
    Beall, MW
    O'Bara, RM
    Webster, BE
    FINITE ELEMENTS IN ANALYSIS AND DESIGN, 2004, 40 (12) : 1575 - 1598
  • [39] Simulation-based sequential design
    Muller, Peter
    Duan, Yunshan
    Tec, Mauricio Garcia
    PHARMACEUTICAL STATISTICS, 2022, 21 (04) : 729 - 739
  • [40] Simulation-based Optimization for Facility Layout Design in Conditions of High Uncertainty
    Garcia, Erik Flores
    Zuniga, Enrique Ruiz
    Bruch, Jessica
    Moris, Matias Urenda
    Syberfeldt, Anna
    51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS, 2018, 72 : 334 - 339