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

Identifying Built Environment Risk Factors to Provider Workflow and Patient Safety Using Simulation-Based Evaluation of a Pediatric ICU Room

OBJECTIVE

This study aimed to identify latent conditions in a pediatric intensive care unit (PICU) by analyzing characteristics of flow disruptions (FD) during a simulation of a three-phased scenario.

BACKGROUND

The built environment of healthcare facilities contributes to FD that can lead to clinical errors and patient harm. In the facility design process, there is an opportunity to identify built environment features that cause FD and pose safety risks. Simulation-based evaluation of proposed designs may help in identifying and mitigating safety concerns before construction and occupancy.

METHODOLOGY

During design development for a new 400-bed children's hospital, a series of simulations were conducted using physical mock-ups in a large warehouse. A three-phased scenario, (1) admission and intubation, (2) cardiac arrest, and (3) bedside surgery involving a cannulation to extracorporeal membrane oxygenation, was conducted in a PICU room mock-up. Each scenario was video recorded from four angles. The videos were systematically coded to identify FD.

RESULTS

Analysis identified FDs in three ICU zones: respiratory therapists (RT) zone, nurse zone, and head of the patient. Challenges in these zones were related to spatial constraints in the RT zone and head of the bed, equipment positioning in the RT zone and nurse zone, and impeded visibility related to the location of the boom monitor in the nurse zone.

CONCLUSION

Simulation-based evaluation of prototypes of patient care spaces can help identify characteristics of minor and major FD related to the built environment and can provide valuable information to inform the iterative design process.

Hazard Assessment and Remediation Tool for Simulation-Based Healthcare Facility Design Testing

OBJECTIVES

To develop an objective, structured observational tool to enable identification and measurement of hazards in the built environment when applied to audiovisual recordings of simulations by trained raters.

BACKGROUND

Simulation-based facility design testing is increasingly used to optimize safety of healthcare environments, often relying on participant debriefing or direct observation by human factors experts.

METHODS

Hazard categories were defined through participant debriefing and detailed review of pediatric intensive care unit in situ simulation videos. Categories were refined and operational definitions developed through iterative coding and review. Hazard detection was optimized through the use of structured coding protocols and optimized camera angles.

RESULTS

Six hazard categories were defined: (1) slip/trip/fall/injury risk, impaired access to (2) patient or (3) equipment, (4) obstructed path, (5) poor visibility, and (6) infection risk. Analysis of paired and individual coding demonstrated strong overall reliability (0.89 and 0.85, Gwet's AC1). Reliability coefficients for each hazard category were >0.8 for all except obstructed path (0.76) for paired raters. Among individual raters, reliability coefficients were >0.8, except for slip/trip/fall/injury risk (0.68) and impaired access to equipment (0.77).

CONCLUSIONS

Hazard Assessment and Remediation Tool (HART) provides a framework to identify and quantify hazards in the built environment. The tool is highly reliable when applied to direct video review of simulations by either paired raters or trained single clinical raters. Subsequent work will (1) assess the tool's ability to discriminate between rooms with different physical attributes, (2) develop strategies to apply HART to improve facility design, and (3) assess transferability to non-ICU acute care environments.

Simulation-based development: shaping clinical procedures for extra-uterine life support technology

BACKGROUND

Research into Artificial Placenta and Artificial Womb (APAW) technology for extremely premature infants (born < 28 weeks of gestation) is currently being conducted in animal studies and shows promising results. Because of the unprecedented nature of a potential treatment and the high-risk and low incidence of occurrence, translation to the human condition is a complex task. Consequently, the obstetric procedure, the act of transferring the infant from the pregnant woman to the APAW system, has not yet been established for human patients. The use of simulation-based user-centered development allows for a safe environment in which protocols and devices can be conceptualized and tested. Our aim is to use participatory design principles in a simulation context, to gain and integrate the user perspectives in the early design phase of a protocol for this novel procedure.

METHODS

Simulation protocols and prototypes were developed using an iterative participatory design approach; usability testing, including general and task-specific feedback, was obtained from participants with clinical expertise from a range of disciplines. The procedure made use of fetal and maternal manikins and included animations and protocol task cards.

RESULTS

Physical simulation with the active participation of clinicians led to the diffusion of tacit knowledge and an iteratively formed shared understanding of the requirements and values that needed to be implemented in the procedure. At each sequel, participant input was translated into simulation protocols and design adjustments.

CONCLUSION

This work demonstrates that simulation-based participatory design can aid in shaping the future of clinical procedure and product development and rehearsing future implementation with healthcare professionals.

Use of design thinking and human factors approach to improve situation awareness in the pediatric intensive care unit

BACKGROUND

Optimal design of healthcare spaces can enhance patient care. We applied design thinking and human factors principles to optimize communication and signage on high risk patients to improve situation awareness in a new clinical space for the pediatric ICU.

OBJECTIVE

To assess the impact of these tools in mitigating situation awareness concerns within the new clinical space. We hypothesized that implementing these design-informed tools would either maintain or improve situation awareness.

DESIGN, SETTINGS, AND PARTICIPANTS

A 15-week design thinking process was employed, involving research, ideation, and refinement to develop and implement new situation awareness tools. The process included engagement with interprofessional clinical teams, scenario planning, workflow mapping, iterative feedback collection, and collaboration with an industry partner for signage development and implementation.

INTERVENTION

Improved and updated communication devices and bedside mitigation plans.

MAIN OUTCOME AND MEASURES

Process metrics included individual and shared situation awareness of PICU care teams and our patient outcome metric was the rate of cardiopulmonary resuscitation (CPR) events pre- and post-transition.

RESULTS

When evaluating all patients, shared situation awareness for accurate high-risk status improved from 81% pre-transition to 92% post-transition (p = .006). When assessing individual care team roles, accuracy of patient high-risk status improved from 88% to 95% (p = .05) for RNs, 85% to 96% (p = .003) for residents, and 88% to 95% (p = .03) for RTs. There was no change in the rate of CPR events following the transition.

Simulation-based operations testing in new neonatal healthcare environments

In situ simulations, those conducted in the actual clinical environment, confer a high level of contextual fidelity and have been applied to the operations testing of new healthcare environments (HCE) to identify potential threats to patient, family and staff safety. By conducting simulation-based operations testing, these latent safety threats (LSTs) - which are weaknesses in communications, human factors, system process and technologies, and the way they are linked together - can be identified and corrected prior to moving patients into the new HCE. Simulation-based operations testing has extended to the neonatal HCE, as neonatal intensive care units (NICUs) transition from open-bay to single-family room design. In this section, we define LSTs, review simulation-based operations testing in new neonatal and perinatal HCEs, review challenges associated with conducting simulation-based operations testing, and briefly review pre-construction simulation-based user-centered design of new HCEs.

Let us to the TWISST; Plan, Simulate, Study and Act

Translational Work Integrating Simulation and Systems Testing (TWISST) is a novel application of simulation that augments how we discover, understand, and mitigate errors in our system. TWISST is a diagnostic and interventional tool that couples Simulation-based Clinical Systems Testing with simulation-based training (SbT). TWISST tests environments and work systems to identify latent safety threats (LSTs) and process inefficiencies. In SbT, improvements made to the work system are embedded in hard wire system improvements, ensuring optimal integration into clinical workflow.

Methods

Simulation-based Clinical Systems Testing approach includes simulated scenarios, Summarize, Anchor, Facilitate, Explore, Elicit debriefing, and Failure Mode and Effect Analysis. In iterative Plan-Simulate-Study-Act cycles, frontline teams explored work system inefficiencies, identified LSTs, and tested potential solutions. As a result, system improvements were hardwired through SbT. Finally, we present a case study example of the TWISST application in the Pediatric Emergency Department.

Results

TWISST identified 41 latent conditions. LSTs were related to resource/equipment/supplies (n = 18, 44%), patient safety (n = 14, 34%), and policies/procedures (n = 9, 22%). Work system improvements addressed 27 latent conditions. System changes that eliminated waste or modified the environment to support best practices mitigated 16 latent conditions. System improvements that addressed 44% of LSTs cost the department $11,000 per trauma bay.

Conclusions

TWISST is an innovative and novel strategy that effectively diagnoses and remediates LSTs in a working system. This approach couples highly reliable work system improvements and training into 1 framework.

A Review of Physical and Digital Mock-Up Applications in Healthcare Building Development

Mock-up simulation is a design or human factor research method to help designers identify key design issues and factors of a product or environment. This paper discusses physical mock-up (PMU) and digital mock-up (DMU) applications in healthcare building development through a narrative literature review. The following questions are addressed in this paper: what would the purposes of using PMU or DMU simulations be? At which phase of a hospital design would a PMU or DMU simulation be used? What methods can be used to conduct PMU and DMU simulations? The paper discusses the advantages and disadvantages of these two mock-up methods and highlights the importance of clinical staff’s involvement in mock-up simulations. It gives recommendations for the design practitioners or project managers of healthcare building development recommendations to implement these two mock-up methods in healthcare building development projects.

The Built Environment Influence on Resilient Healthcare: A Systematic Literature Review of Design Knowledge

OBJECTIVE

The aim of this study was to develop built environment (BE) design knowledge to support resilient healthcare by systematically reviewing the evidence-based design (EBD) literature.

BACKGROUND

Although the EBD literature is vast, it has not made explicit its contribution to resilient healthcare, which is a key component of the highly complex health service.

METHOD

This review followed the steps recommended by the Preferred Reporting Items for Systematic reviews and Meta-Analyses method. After applying the inclusion and exclusion criteria, 43 journal papers were selected. The papers were analyzed in light of five guidelines for coping with complexity, allowing for the development of BE design knowledge that supports resilient healthcare.

RESULTS

The design knowledge compiled by the review was structured according to four levels of abstraction: five design-meta principles, corresponding to the five complexity guidelines, seven design principles, 21 design prescriptions, and 58 practical examples. The design knowledge emphasizes the interactions between the BE as physical infrastructure and the functions that it supports.

CONCLUSIONS

The design knowledge is expected to be useful not only to architects but also to those involved in the functional design of health services as they interact with the BE. Furthermore, our proposal provides a knowledge template that can be continuously updated based on the experience of practitioners and academic research.

Pediatric Intensive Care Unit (PICU) Patient Room Design: Identifying Safety Risks in Mirrored Rooms Through a Graphical Systems Analysis

OBJECTIVE

The objectives of this study are to graphically depict specific clinical challenges encountered in a mirrored pediatric intensive care unit patient room and to represent potential solutions to address these challenges using a systems approach.

BACKGROUND

The intensive care unit (ICU) patient room is a highly complex patient care environment where the design of the room must support patient care delivery safely and efficiently. There is a lack of research examining how ICU design elements interact with other system components to impact patient care.

METHODS

An observational case study method utilizing a systems approach was used to observe and graphically depict clinical challenges with mirrored room configurations and to identify potential solutions. Video recordings of the three clinical scenarios were analyzed in detail in conjunction with three rounds of interviews with a clinical expert.

RESULTS

Equipment or task characteristics that require orienting to a specific side of a patient create challenges in a mirrored room. In order to deliver care safely and efficiently in the mirrored room, adaptations would be required including changing boom, equipment and team member locations, purchasing new equipment, staff training, and inventory management. Some procedures such as extracorporeal membrane oxygenation would be difficult to conduct safely in the mirrored room, even with significant adaptations.

CONCLUSION

Solutions to the challenges presented in mirrored room configurations are multifaceted and require simultaneous and ongoing changes to multiple systems elements, while others can be addressed relatively easily, for example, purchasing new equipment.

Simulation-based User-centered Design: An Approach to Device Development during COVID-19

Supplemental Digital Content is available in the text.

Introduction:

Since the onset of COVID-19, intubations have become very high risk for clinical teams. Barrier devices during endotracheal intubation protect clinicians from the aerosols generated. Simulation-based user-centered design (UCD) was an iterative design process used to develop a pediatric intubation aerosol containment system (IACS). Simulation was anchored in human factor engineering and UCD to better understand clinicians’ complex interaction with the IACS device, elicit user wants and needs, identify design inefficiencies, and unveil safety concerns.

Methods:

This study was a prospective observational study of a simulation-based investigation used to design a pediatric IACS rapidly. Debriefing and Failure Mode and Effect Analysis identified latent conditions related to 5 device prototypes. Design iterations made were based on feedback provided to the engineering team after each simulation.

Results:

Simulation identified 32 latent conditions, resulting in 5 iterations of the IACS prototype. The prototypes included an (1) intubation box; (2) IACS shield; (3) IACS frame with PVC pipes; (4) IACS plexiglass frame, and finally, (5) IACS frame without a plexiglass top.

Conclusions:

Integration of simulation with human factor ergonomics and UCD, in partnership with mechanical engineers, facilitated a novel context to design and redesign a pediatric IACS to meet user needs and address safety concerns.

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.