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Trauma Bay Development andDesign Designed toPerform: How Simulation Can Inform theDesign ofElite Trauma Resuscitation Environments
AndrewPetrosoniak, FrankPanici, andChristopherHicks
24

Introduction

Poor design in healthcare is common [1, 2]. Design aws are more than simple nuisances but rather require constant improvised or ad hoc work-around solutions that expose patients and providers to risks and safety hazard [3]. During a trauma resuscitation when the chest tube equipment is laid out over the patient instead of a purposely design procedure cart, situated in a room designed to facilitate trauma care, the reex should be to recognize how the system fails to promote the safe performance of the procedure.
In contrast, most healthcare workers, including those who care for the critically injured, are not conditioned to respond by asking how the system design failed the patient and the team. We have been socialized to take pride in our ability to overcome poor designs and just make things work. In most modern healthcare systems, the onus for avoiding hazards and safety threats falls almost exclusively on the provider [4,
5]—a model that is both unethical and unsustainable. Ask
any trauma systems provider: barriers to safe and effective care consistently arise from systemic encumbrances that impact their energy and impair their determination [6]. It is not unusual for trauma clinicians to be searching for the patient’s source of bleeding while searching even harder for the life-saving equipment they need to stop it.
Trauma resuscitation exemplies the complexity that exists within healthcare [7]. Clinicians are faced with com­peting priorities, diagnostic uncertainty, and dynamic clini-
A. Petrosoniak (*) · C. Hicks Department of Medicine, University of Toronto, Toronto, ON, Canada
Department of Emergency Medicine, St. Michael’s Hospital, Toronto, ON, Canada e-mail: Christopher.Hicks@unityhealth.to
F. Panici Health Sciences, NORR Architects & Engineers Ltd., Toronto, ON, Canada e-mail: Frank.Panici@norr.com
cal situations accentuated by critical illness. This culminates in challenges linked to logistics, processes, and systems as much as the inherently difcult diagnostic and management decisions. A rational and sustainable way forward for the engineering of resilient trauma systems requires up-front investments in understanding system complexity and poten­tial vulnerabilities. This approach places the end-user, both patients and clinicians, at the center of the design process [8]. At every point in the design process, the question should be asked: “Is the choice we’re making increasing safety or increasing risk?” [9].
In this chapter, we describe a framework for the design of trauma resuscitation environments that emphasizes the needs of the end-users (patients and providers) linked to a systems­thinking perspective. This process builds on our own experi­ence in the design of a new trauma bay combined with evidence-based design principles. In summary, this four- phased approach (design-build-train-excel) systematically supports the conceptualization (design), prototyping (build), orientation and utilization of high-performance teams (train), and constant evaluation (excel) necessary to create a highly functional space.

Design

Formalizing Clinician-Designer-Builder Partnerships
The typical process for the design and construction of trauma resuscitation environments can be described as “fragmented” at best [2]. It is not uncommon for an entire clinical space to be constructed by teams working in silos with little commu­nication between them. Siloed processes may result in clini­cal environments that lack usability especially when seconds are the difference between life and death.
The success of any project is tightly linked with the qual­ity of the team responsible for its completion. In trauma care, the design of a trauma resuscitation space requires expertise in clinical care, logistics, and architecture. Clinicians are not
© Springer Nature Switzerland AG 2025 L. Marshall Gillman, S. Widder (eds.), Trauma Team Dynamics, https://doi.org/10.1007/978-3-031-86312-7_24
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architects, contractors, or project managers, nor should they pretend to be. Formalizing partnerships between builders and end-users is absolutely critical. To be effective, trauma bay design can’t happen in a bubble, but rather it should bring all relevant parties to the table to co-create, prototype, and test solutions prior to implementation. A nurse with a design idea for a resuscitation room layout needs to be able to interface with an architect to create a rendering, simula­tionists to test and generate feedback, and project managers to cost, plan, and implement solutions.
In our experience, engagement with the architectural design team is critical upon project conception. This pro­vides ample opportunity for architects, project managers, and other non-clinical personnel to deeply understand the needs, workows, and challenges of the end-users. These early conversations, facilitated through multiple techniques that will be discussed below, will ensure even the earliest plans and designs will be informed by end-user feedback.
A Human-Centered Approach
A purposefully designed trauma bay may be the difference between life and death when a team is required to respond in a rapid and coordinated fashion to a hemodynamically unsta­ble patient requiring a sequence of time-sensitive interven­tions. The inherent challenges of trauma care are amplied when they occur within poorly designed clinical spaces. Providers have become accustomed to overcoming such safety threats and inefciencies, relying on their individual and team resilience. The link between the physical space and care delivery cannot be overstated. As eloquently stated by author James Clear:
The environment is the invisible hand that shapes human
behavior
Increasingly, healthcare has followed the way of other domains by adopting a human-centered design processes [10, 11]. This approach involves applying the human per­spective throughout all steps of the problem-solving process. This links closely with participatory ergonomics whereby people are involved in the planning of their own work, result­ing in improved productivity [12]. This deeper understand­ing of work as done has been achieved recently using simulation in several case studies of assembly line and healthcare systems design [1316].
Participatory ergonomics and human-centered design, well studied in several domains, have yet to be robustly applied within the design of the trauma care environment. We advocate for an easily implementable framework to sup­port these principles by way of simulation-informed clinical design. This puts the patient, clinician, and other involved care providers front and center in the design process [17].
Within this process, we utilized design thinking methodol­ogy, a toolkit familiar to those in technology and business, to create end-user optimized designs [1820]. Simulation­informed clinical design places a signicant emphasis on understanding the needs of the end-user. This upfront invest­ment pays dividends later through design solutions that are iteratively prototyped, achieving proven benets for patient, provider, and system [21].
The Missing Link
Business and technology sectors have long understood the importance of the customer experience [22]. The patient expe­rience during healthcare delivery is the subject of increasing interest among healthcare organizations as they integrate patient-centered metrics in their evaluation processes [23]. Much of this focus relates to patient-provider interactions and processes to improve pain control or wait times. There is a lack of well-formulated mechanisms, however, to integrate the patient perspective during the design of new healthcare infra­structure, including those for trauma care. The importance of creating positive patient experiences cannot be discounted as it serves to enhance trust among clinicians, reduce posttraumatic stress disorder, and improve patient outcomes [24].
An illustrative example of the positive impact of integrat­ing the patient experience into the design process comes from Doug Dietz, an executive at General Electric [25, 26]. He was tasked with designing a new MRI machine for pedi­atric patients. When he observed the machine in use, he saw children so scared and anxious that many required sedation. While satised with the technical outputs of the machine, he realized it did not meet the needs of the “end-user,” in this case the children. Using principles of human-centered design and design thinking methodology, he re-designed the experi­ence to feature “adventure” environments that resonated with children, like an MRI room to mimic a pirate ship. Multiple iterations of child-friendly designs were created and the experience was completely re-imagined and re­designed. These designs may sound great, but is there a clini­cally relevant outcome? Interestingly, this project resulted in a substantial reduction in the need for sedation, both a safety and patient-centered outcome [27]. An amazing result from a seemingly simple yet elegant design.
How can we translate the patient perspective into the trauma bay design process? Following the design thinking methodology, the rst step is empathize, whereby the design­ers seek to better understand the needs of the user. There is growing research about the emotions experienced by trauma patients [24]. Semi-structured interviews can offer designers a unique lens through the eyes of the patient and how the care process can be improved without compromising efcacy. Additionally, standardized patients can provide their insights
24 Trauma Bay Development and Design Designed to Perform: How Simulation Can Inform the Design of Elite Trauma…
187
during the debrieng phase of a simulation session. Ensuring the architects and design team are present only further enhances the value of the session.
We believe that each trauma program should seek to understand the unique aspects of the patient experience at their institution to inform future designs, and we summarize some common themes from both the literature and our per­sonal experiences: [24, 28, 29].
1. Trauma patients experience a range of emotions that may
impact their understanding of the steps taken during a resuscitation.
2. Pain is nearly ubiquitous in trauma and will substantially
impact the patient experiences.
3. Exposure to strangers while necessary to provide care
creates a vulnerable environment.
4. Uncertainty and concern about the patient’s clinical con-
dition are common among family members.
It is our contention that these themes, while not all­encompassing, represent a starting point to inform unique design features to enhance the patient experience. For exam­ple, it may be possible to mitigate some of the negative emo­tions inherent with serious injuries with adjustments in noise and wall color or perhaps calming images on the ceiling that serve to reassure the patient that they will be cared for with dignity and respect. Additional design features might serve to support patient-oriented outcomes such as timely analgesia delivery.
The Case forLess
In a healthcare system hungry for additional capacity, the desire for more can drive decision-making, without consid­ering if more translates to better. At St Michael’s Hospital in Toronto, the design for a new trauma bay included expanding from two to three stretchers, ostensibly to care for 50% more critically injured patients at any given time.
Added capacity has advantages but presents challenges as well, many of which are difcult to see. These latent hazards are threats to patient and provider safety that aren’t easily identied until they create a problem, which carries the potential for adverse events and harm [3032].
We used simulation-informed clinical design to put both our old and new trauma bays through their paces [17, 3235]. To do so, we brought a number of simulation modalities to bear, selected based on the task at hand:
• Current state analysis: In situ simulation exercises based
on known difcult trauma cases, run with the full team in
the “old” trauma room
• Hazard matrix, framework analysis, and video review with the help of human factors engineers
• Table-top talk simulations of the new space, using scale models and design schematics
• Full-scale simulations in mock-ups of the proposed new space, pre-construction
• In situ simulation in the constructed new space, prior to opening for clinical care
At every step, our ndings were shared with the design
and project management teams. It turns out that the crowd­ing of three stretchers created a series of negative trade­offs and limited the ability to deliver safe and timely care. What followed was a reworking of the space and design to feature a two-stretcher steady state with the ability to ex up to three if necessary; clear oor markings to preserve the circle of care around the patient’s head, neck, and torso; and clinical logistics to support bedside critical care procedures.
Evidence-Based Design
With growing research in healthcare design, evidence­based healthcare design (EBD) has emerged as an impor­tant inuence as new facilities are built. The Center for Health Design, an organization that supports this approach, denes EBD as “the process of basing decision about the built environment on credible research to achieve the best possible outcomes” [36].
Although it seems obvious that resuscitation spaces for
critically injured patients should be designed using research and end-user input, the use of EBD in this area is still relatively new. The Agency for Healthcare Research and Quality (AHRQ) partnered with the Centre for Health Design and proposed 10 evidence-based design consider­ations. While these represent generic principles, each is backed by evidence that it positively impacts healthcare outcomes [37]. We describe how these 10 principles are relevant to the built environment of the trauma bay (Table 24.1). Notably, institutions may prioritize each principle differently based on their current environment, culture, and user perspectives. We advocate that these prin­ciples be included in the design process which may occur in several ways including:
1. Conversation guide between designers-builders-clini­cians
2. Checkpoints for clinicians to ensure appropriate elements considered
3. Content to inform and support the design evaluation process
188
Table 24.1 Evidence-based design principles applied to the trauma resuscitation environment
Evidence-based design principles Examples relevant to trauma bay design Standardization Implementation of pre-arrival/pre-departure checklists to ensure key aspects of care
completed
Staff fatigue Optimize layout of the space to ensure high-use items are near the bedside and easily
accessible while less frequently used items placed further to minimize encumbrances to
movement around the patient Enhance visibility to patients Vital sign monitors in multiple locations (e.g., head of bed, foot of bed) to enhance visibility Reduce noise Ventilation systems that function quietly to minimize additional noise
Floor markings and crowd control designs that ensure efcient workows resulting
reductions in unnecessary noise and chatter Reduce communication breakdown Ergonomically optimized labeling of equipment to help retrieval of necessary equipment
Personnel stickers for each team member denoting name/role/specialty to improve intra-team
communication Control/eliminate sources infection Designs that promote the easy application of PPE
Keep space around the patient clear, promoting both free movement of team members and
minimizing splatter onto equipment Minimize environmental hazards Optimize moveable procedure carts that can be brought to the bedside when needed
Floor markings that designate a “circle of care” or lines indicating care team and support
team
Flat workspaces for equipment during procedures Automate where possible Integration of vital signs and laboratory results into clinical design support tools (e.g.,
triggers for massive hemorrhage protocol activation)
Motion sensors to trigger device activation (e.g., clinical timers, video recordings)
High-risk tasks (e.g., blood product checks and administration) Support patient and family involvement in care Space for family to wait with dedicated trauma team members to liaise with family/friends
Physical designs that serve to calm and reassure patients (e.g., calming images on ceilings) Consider adjacencies Construction trauma bay near EMS entry; planning for CT scanner adjacent to trauma bay
A. Petrosoniak et al.
Design Priorities Specic toTrauma
Based on our research studying trauma teams within their authentic workplace, we have established more specic design priorities that align with the broad evidence-based design principles from AHRQ [32]. Building on the work of other groups and based on our own observations, we identi­ed several recurrent latent safety threat (LSTs) themes that manifest during trauma care [5, 30, 32, 33, 38, 39]. LSTs can be dened as “previously unrecognized system-based condi­tions that under certain circumstances manifest and threaten patient safety” [30]. These LSTs include the physical work­space and interpersonal and team communication, establish­ing shared mental models, infection prevention/safety, equipment, and procedural/process-based issues. By under­standing the frequency of such safety threats, design teams can look to proactively “design out” these hazards from occurring. More simply, design features can be included that serve to eliminate or mitigate LSTs.
Importantly, these themes, while likely generalizable may not apply to every institution or organization. An in-depth analysis by the design team using a multi-modal approach including simulation within the existing space, stakeholder and end-user interviews, morbidity and mortality reports, and adverse event reviews will help form a comprehensive understanding of the design priorities needed. At our institu­tion, we applied a detailed workplace analysis using these methods before we began construction of our new trauma
bay (Fig.24.1). Through this process, we identied several unique design features relevant to trauma care:
1. Ensure 360° access to the patient: Critically injured patients require a range of time-sensitive interventions, including intubation, intravenous access, chest tubes, and extremity splints, and optimizing access to the entire body is essential.
2. Optimize sightlines to vital sign monitors: Conventional resuscitation designs use a single monitor at the head of the bed. The addition of vital sign monitors at the side and foot of the bed increases visibility among team members of key physiologic parameters that will dictate manage­ment interventions.
3. Use modular and moveable task-based carts: To ensure easy access around the patient, the space should not be cluttered with equipment. To facilitate this, modular and moveable task-based carts can be stationed outside of the immediate care space and brought to the bedside on an as-needed basis.
4. Design room layout and equipment placement according to frequency of use: There is predictable equipment that will be needed frequently while other equipment rarely. A prioritization strategy should balance frequency of use with urgency (e.g., thoracotomy kit while rarely used should be positioned relatively near the bedside, while orthopedic supplies, which are less urgent items, can be placed further away).
24 Trauma Bay Development and Design Designed to Perform: How Simulation Can Inform the Design of Elite Trauma…
ab
c
189
Fig. 24.1 A comparison of the original trauma bay with the newly redesigned trauma bay using a comprehensive design strategy including simulation- informed design. (Location: St. Michael’s Hospital, Toronto, Canada; photo credit: Katie Cooper)
5. Apply an equipment labeling approach that is clinician focused: Easily readable, color-coded, and appropriately positioned to facilitate rapid location and acquisition of necessary equipment while under stress.
6. Promote PPE application and personnel identication: Position PPE at the entrance in easily accessible locations to improve compliance and safety for team members. The use of identication stickers can further improve team communication and promote a shared understanding of management plans.
urgency of use of equipment. During the build phase, proto­typing of this layout may determine that assumptions and design decisions do not function optimally once simulated and minor design changes are required.
To accomplish much of the work during the build phase, we apply simulation-informed clinical design in a more detailed manner using a range of simulation techniques, fol­lowing the functional requirements or objectives of the proj­ect [40]. This approach is growing in its application; however, it remains novel within the trauma community. Several groups have described their experience with various forms of simulation-informed clinical design. This spans its applica-

Build

tion to guide the early design throughout the design process and ultimately testing the clinical space prior to opening for
The transition from the design phase to the build phase is described as discrete for the purposes of this chapter; how­ever, it may overlap substantially as the design team will toggle between each phase. The initial principles and fea­tures that emerged from the design phase, during the build phase, are prototyped and more closely evaluated in a man­ner that establishes their utility within the local institution. For example, the design team will apply the principle of cre­ating a physical layout that aligns with frequency and
patient care [37, 4146]. A common thread among each group is the continued involvement of the design team who are invited and participate in the simulation-informed clini­cal design process.
In our experience, the presence of architects and the con­struction team during simulations of design prototypes pro­motes a shared mental model of features that are and are not functional. More specically, the design team comes to understand how “work as imagined” may differ with “work
190
oject completion
A. Petrosoniak et al.
as done.” The net result is an increased probability that the nal product will function optimally for the end-users, both clinicians and patients alike.
Simulation involves the re-creation of real-world events, using a variety of techniques and tools like high-tech patient simulators, partial task trainers, and patient actors. This suite of options allows the simulation to immerse the trauma team in a realistic environment to elicit reection and promote learning. When simulation is used to support design of new
ect. Below, we describe four common techniques used dur­ing simulation-informed clinical design projects (Table24.2).
Each technique described in Table24.2, alone, will not provide sufcient information to inform the entire design of a new trauma environment, but rather we advocate that a combination of techniques be used to provide a comprehen­sive understanding and evaluation of the design. Which tech­nique is used depends on several factors, including:
clinical infrastructure, the unit of analysis is the physical space and the systems within it. This “allows for reliable and repeatable analysis of hazards and the design and testing of controls to mitigate those hazards at a system level” [9].
There are multiple simulation techniques, each serving
a specic purpose, that can be applied throughout the proj-
Table 24.2 Descriptions of simulation modalities and application within the design of trauma infrastructure
Simulation modality Application in trauma care design
Tabletop simulation
Small-scale replica of the clinical space to evaluate workows, systems, and spaces, contributing to a macro-understanding of the physical space
Mock-up simulation
Replica of the clinical environment to evaluate personnel movement, equipment location, and clinical care within a space similar or identical in size to the nal product
In situ simulation
Simulation within the authentic clinical environment
Computer-based simulation
Clinical environments recreated using computer- based technology
1. Session objectives
2. Time, personnel, and equipment resources available to
the team
3. Expertise to conduct the session(s)
4. Project timeline (Fig.24.2)
A resource-efcient simulation modality that enables the design team to observe high-level trauma workows and processes using blueprints or plans of the new space Adjacency considerations, including patient transport to the OR and/or CT scan, are easily evaluated A technique that allows trauma clinicians to immersively experience a replica of the new design A trauma team can practice diagnostic and management strategies with real or replica equipment to evaluate the adequacy of the physical space, the location of equipment, and their abilities to provide time-sensitive care The environmental delity may vary from tape on the oors denoting equipment and walls to an identical recreation of the soon-to-be­constructed trauma environment This modality can be used to understand the existing trauma space, including current workows, deciencies, and areas for opportunity Additionally, this technique can be used to “crash” test equipment and workows (e.g., thoracotomy, intubation) within the newly constructed trauma bay to ensure all elements required for trauma care are fully functional before opening day An effective technique to design and iteratively rene a new trauma bay before investing in the actual construction of the space Trauma clinicians can be provided tasks (e.g., chest tube insertion) within the virtual environment and provide feedback on feasibility, space optimization, and placement of equipment
Table top
Mock-up
Simulation modalities
Computer-based
or virtual-reality
Fig. 24.2 Proposed sequence of simulation techniques applied during the design of a new trauma resuscitation environment
In situ
Pre-design Design development
Project timeline
Construction Pr
24 Trauma Bay Development and Design Designed to Perform: How Simulation Can Inform the Design of Elite Trauma…
191
How Can Simulation-Based Movement Tracking BeIntegrated into Healthcare Design?
As our modes of healthcare delivery become increasingly complex, more advanced techniques to understand, study, and optimize care are needed. Efciency is even more important when patients are in the throes of a life-threatening condition. The last thing that any team needs is to be searching for equip­ment scattered around the room while a patient is lying on the stretcher waiting for a life-threatening intervention. One tool to combat these inefciencies and improve the design of clini­cal spaces is movement tracking. That is, technology that allows for removing extraneous information to highlight loca­tions where clinicians move and concentrate their time.
Non-healthcare industries have long understood the value of movement tracking. Look no further than UPS, which studied the movement of their delivery vans [47]. At rst glance, it would seem to make sense that vans take the most direct route. Faster is better right? Think again. The company extensively studied delivery routes and realized they could make substantial gas savings by routing their vehicles to avoid left turns. It may add extra miles on individual routes, but overall speed increased and both total mileage and gas consumption decreased. Why? Because left turns result in increased accidents and longer waits at lights. The result: 1110 fewer trucks and ten million fewer gallons of fuel. This counterintuitive initiative only resulted from focused move­ment tracking data.
We used in situ simulation coupled with movement track­ing to study how a high-performance trauma team interacted with the clinical environment (Fig.24.3) [34]. We conducted the exact same simulation several times over the course of a year within our trauma bay. What did we nd?
1. There are substantial differences in the distance traveled between clinicians even when they’re performing the same task. Why?
2. Small design changes can drastically alter how far people move. Not surprisingly, packaging essential equipment to perform a life-threatening procedure resulted in more efcient movement than if the equipment was scattered around the room.
3. Just studying the movement of people proved to be eye­opening, as clinicians suddenly realized how often they found themselves walking aimlessly around the room searching for equipment. The opportunity to observe movement tracking maps was the light bulb that many needed to prompt important design changes.
In addition to our work, other researchers and design
groups now use similar movement tracking techniques (also described as link analyses) [44, 46, 48, 49]. Given the effort and resources required for these investigations, the design team should rightly ask whether it is worth it? Specically, do participants move and behave in the same way during mock-up simulations as within the actual space? If the answer is yes, then important information can be gained to guide the design of a new clinical space without investment in construction costs. Researchers from Alberta, Canada, investigated this question by evaluating newly constructed medication rooms in a hospital space [46]. They built a high (detailed) and low (simple) delity mock-up along with a virtual reality version of the space and compared movement from various tasks with video recordings within the actual clinical after it opened to patient care (Fig.24.4). They con­cluded the “workow within each of the three mock-up types accurately represents realistic workow in a medication room.” Our own observations and research in the trauma
Fig. 24.3 Movement tracking diagram during a simulated trauma resuscitation. Each line represents the movement of a clinical team member over the course of the 18-min simulation
192
Fig. 24.4 Movement tracking data within three mock-ups (simple, detailed, virtual reality) of a medication room compared to the actual clinical space (authentic room). (Modied from Alberta HQCo [46])
A. Petrosoniak et al.
resuscitation environment support these ndings. It is very likely that well-developed simulations within trauma mock- ups will provide accurate and representative data of actual trauma resuscitation workows.
A key aspect to any design project is understanding the end-user. Movement tracking provides a unique look at how the end-user interacts with their space, a perspective that simply is not possible when the individual is questioned directly. When we asked clinicians about how long it took to nd equipment or how far they traveled, their estimates were not even close. It is clear that people nd it conceptually dif­cult to accurately recall movement, especially under times of stress. Tracing maps clearly illustrate points of congestion and opportunities for design improvements.
The future of clinical space design includes a deeper appreciation of “how” work is done. What better way to understand the “how” than directly observing the path required to make it happen? Objective and focused efforts to track movement are essential design tools to optimize spatial utilization, reduce time, and save money.

Train

A simulation-informed clinical design approach to the con­struction of a new trauma resuscitation environment is closely linked to the team training plans once the space is operational. While a detailed overview of trauma team train­ing is published elsewhere and beyond the scope of this chapter [50], there is no doubt that the built environment is closely linked to team performance.
Look no further than the Formula 1 racing industry [51,
52]. The sport’s pit crews have become the archetype of team
performance. In pairs, the team can remove and replace four tires, a remarkable feat and one that is only achieved with intense training. While training is critical, the teams could not perform tasks with such speed without perfectly designed equipment and team members perfectly positioned around the car. This link between design and function is a key to suc-
cess that many industries have long appreciated. In acute care medicine, we are only now beginning to realize the impor­tance of form-tting function, and once optimized, team per­formance and ultimately patient outcomes improve [53].
In trauma training, we focus extensively on teaching cri­sis resource management (CRM) strategies to support teams during high-stress, time-sensitive situations [50, 54]. The principles of CRM include an emphasis on team communi­cation and effective teamwork strategies [5559]. For exam­ple, two team members using closed-loop communication might sound like the following:
Please get the chest tube cart
Where is the chest tube cart?
Behind the door on the other side of the room
OK, I see it, I’ll grab it. Here it is
Thank you, chest tube cart received
In this situation, the team members are using closed-loop communication, and this is effective in obtaining the neces­sary equipment. This type of communication is effective, but it requires practice. What is apparent, however, in this exam­ple and typical of many trauma resuscitations is that commu­nication becomes the backstop for poorly designed spaces. Teams rely on highly effective communication skills to over­come the deciencies of the clinical environment [32, 33]. If the trauma resuscitation environment was designed more intuitively, team training could focus on more patient- centered elements rather than ensuring they can effectively request and describe the location of poorly located equipment.
Imagine how the communication between team members may take place in a space where the chest tube cart was located in a more appropriate location. It may eliminate the need to ask a fellow team member for the cart, and the clini­cian may be immediately ready to perform the procedure:
Team lead, I have the chest tube cart and I’m ready to proceed on
your call
Thank you, go ahead with the chest tube insertion now
At our institution, we have observed that when the layout and usability of the space are intuitive, less time is required
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193
to teach people about how to use the space, and greater effort is directed toward optimizing patient care. The downstream impact of highly functional clinical design should be consid­ered as a signicant return on investment (ROI) for future training plans. The built environment cannot be separated from the training process. By optimizing the physical space and equipment within it, through intuitive designs, the emphasis of team training can be shifted toward the nuanced aspects of clinical decision-making and team performance.

Excel

The transition from construction to beginning clinical care is exciting and ultimately represents the culmination of an extensive project. Once the construction of the trauma resus­citation environment is, however, it is not sufcient to stop the design process [42, 43]. While there is a higher probabil­ity that design aws have been identied and mitigated using simulation-informed clinical design, latent safety threats may still pose risks to patients. Additionally, changes in pro­cesses and systems may not have been considered during the design process, thus requiring updates.
The construction of a new trauma resuscitation environ­ment should be paired with ongoing evaluation strategies to monitor for issues and recognize successes. The latter repre­sents the traditional approach to safety (Safety I), whereby the unit of analysis is the “accident” or the harm [8]. In Safety I, safety is dened by the absence of harm, we seek to learn from our errors, and the system is designed to avoid errors. In contrast, Safety II, an approach popularized by Braithwaite and colleagues, emphasizes the protective fac­tors and decisions that support successes [8]. In Safety II, safety is dened as the presence of “what goes right” and we reorient our perspective to design our systems to support these successful behaviors.
A well-designed trauma program and trauma environment will include both Safety I and Safety II perspectives. The physical structure of the environment can do so using built-in technology like video and audio recording devices that allow for periodic case review. We believe that both successful cases and those involving adverse events be subject to review as learnings will be found in both instances. During case review, specic attention should be paid toward the design features that supported specic behaviors. Video review of trauma resuscitations is discussed further in Chap. 15.
Emerging technology, such as articial intelligence, may enhance our ability to improve by providing unique insights into behaviors, systems, and infrastructure that are otherwise difcult to appreciate. For example, the Black Box, technol­ogy that is now in place in operating rooms, has the ability to capture multiple environmental factors (conversations, deci­bel levels, team movement) and link them to the patient’s
clinical status, team decisions, life-saving procedures, and ultimately patient outcomes [60, 61]. This in-depth under­standing has the potential to completely alter our ability to reect, rene, and improve our systems and clinical designs. The learnings from these outputs can then be integrated into the trauma system and, when possible, used to redesign the clinical environment.
Return onInvestment
The costs associated with building elite trauma resuscitation environments are not insignicant, and it behooves the design team to complete at or under the budget available. At rst glance, the methods we describe in this chapter may seem overwhelming in terms of human, equipment, and nancial resources. The evidence suggests these upfront costs, however, are quickly mitigated given the benets of simulation-informed and design thinking processes. This is supported by the concepts described in the MacLeamy Curve (Fig.24.5) which speaks to a very simple but important prin­ciple in architectural and project management: design changes become more costly and less effective the farther along they occur, underscoring the importance of getting it right from the beginning [62].
While the MacLeamy Curve and its associated concepts seem intuitive, it may not be obvious to clinicians, funders, and the design team when developing and evaluating the ini­tial project plan. We propose that an early meeting explicitly addresses in part the following:
• Introduce this concept to clinicians, the design team, and
the funders
• Acknowledge that upfront costs will have downstream
savings (both time and economic)
• Heavy investment in understanding the needs of end-
users (patients and clinicians), the potential future of
trauma care, the potential to adapt for rare events (pan-
demic, mass casualties)
Upon acknowledging the value of front-loaded work to yield dividends long term, the plan for simulation-informed design can begin. In our experience, ndings from a simulation- informed design process can be broken down into two general categories:
The known unknowns: Data is a more powerful driver for
change than anecdote. Codifying and quantifying known
issues by way of a current state analysis can inform pro-
cess improvement to a greater extent than incident reports
and hallway conversations. Even if everyone already
knows there’s an issue: “It takes way too long to get blood
to the bedside in trauma.” The data from targeted in situ
194
C abilit change
TIMELINE
Cost of design
Fig. 24.5 MacLeamy curve. The preferred design process emphasizes upfront investment during project planning and design development. This maximizes the ability to make project changes while minimizing the cost of such changes. (Modied from Overbey [63])
ost &
Ability to impact project
y to
preferred
design process
Planning Design development Construction
typical
design process
PROJECT
A. Petrosoniak et al.
changes
simulations can substantiate those observations in ways that are hard to ignore: “Our simulations demonstrated an average delay to blood product delivery of X minutes, which is associated with an increase in patient mortality of Y.”
The unknown unknowns: Sometimes, you don’t know some-
thing is a problem until it’s a problem. Once you know there’s an issue, simulation can help you get to the root of the problem. Turns out, delays in blood product delivery were due in part to the circuitous path our blood runners had to take to get to the blood bank, and not knowing how or when to announce themselves when they got back.
Data and observation inform better decisions for process improvement. At our institution, the case of improving blood product delivery times and revising the massive hemorrhage protocol would have done nothing to make the process better or faster. Instead, a human-focused solution to shorten the distance traveled and facilitate awareness upon arrival decreased blood product delivery times from 11.5min to 9 min, an improvement that is associated with a 12.5% decrease in mortality for trauma patients [35, 64].
There is growing evidence that these forward-thinking and innovative approaches to clinical design yield substan­tial dividends later on in the project. Several groups have described their ndings using both simulation-informed clin­ical design and the design thinking process.
A Canadian group of researchers conducted a detailed ROI analysis of using simulation-based mock-ups to miti­gate the need for future renovations of medication rooms (Fig.24.4) [46]. They concluded a return on investment (in percentage) between 506% and 2685%, depending on the simulation technique used. Translated into dollar savings, for every dollar invested in mock-up simulations, between $5.06 and $26.85 can be saved after the investment is recovered.
The authors described additional intangible benets that included design interventions that were applied following the mock-up evaluation process, resulting in fewer interrup­tions, potential for fewer errors, and faster preparation time for medications.
An independent ROI analysis of IBM’s design thinking strategy concluded that its application reduced design time of new products by 75%, doubled the speed to move prod­ucts to market, decreased product testing times, and ulti­mately increased prots by >$100,000 for small projects and>$1,000,000 for large projects [21].
In our experience and upon review of broader literature using these methods, the return on investment (ROI) is sub­stantial and favors the use of simulation-informed and design thinking-based processes.

Putting It Together

This chapter describes a detailed and practical approach to the design of trauma resuscitation environments using simulation­informed clinical design. Based on our experience, our research, and the work of others, this represents a robust and highly usable framework. Linked closely to our approach is design thinking methodology which we have used to test, eval­uate, and modify new clinical infrastructure [17].
This human-centered process is used in numerous non­healthcare domains to support the design and testing of new products [65]. A key difference to this methodology com­pared to others is the focus on the “end-user.” In trauma care, the “end-user” is not a single individual but rather comprises groups of people from patients/families to clinicians to non­clinical staff. The design thinking process consists of ve steps that promote a human-centered focus, and simulation is integrated throughout (Fig.24.6).