Expert Opinion Survey Research Articles

Owner-based benefit evaluation of BIM applications in China's engineering projects

PurposeThis paper aims to establish a model to evaluate the benefits of building information modeling (BIM) from the owners' perspective. The model analyzes the correlation between five secondary benefit indicators and their subsystems: product, financial, organizational, management and strategic. The final key factors of BIM benefits provide a decision-making basis for owners to raise the efficiency of BIM application.Design/methodology/approachFirstly, the authors combed 31 BIM-related literature and interviewed experts to identify 15 preliminary benefit indicators. The authors established a BIM benefit evaluation system based on relevant concepts, including two primary indicators, five secondary indicators and 15 tertiary indicators. Secondly, the authors analyzed the indicators by the extension theory of matter element analysis and a questionnaire survey of expert opinion. Finally, the new method was applied to a case study of a large shopping center in east China for empirical verification.FindingsA BIM benefit evaluation model, including a three-tiered hierarchy of primary, secondary and tertiary indicators, was constructed through literature review and expert opinions. The model determined the critical factors of BIM benefits, enhanced understanding of owner benefits and improved BIM application under the owners' leadership.Originality/valueAt present, most studies focus on specific project stages or benefit indicators. This study developed an integrated BIM benefit evaluation system that targets owners. The findings could foster the development of China's construction industry, promote owner-led BIM application and advocate adopting the benefit evaluation method.

Analysis of the current situation of experimental practice competences of Chemistry Pedagogical students according to CDIO approach through survey of expert opinions

Vinh University is one of the first universities that apply the CDIO approach training program for students in Chemistry Education from the academic year 2017-2018. After 4 years of applying CDIO approach training program, it is necessary to survey the experts’ opinion on the current situation of the practical and experimental capacity of Chemistry Pedagogical students under CDIO approach training program; survey the appropriateness of building the capacity to practice Chemistry experiments according to the CDIO approach and survey the appropriateness of the development of criteria corresponding to those competencies. The results are used as a basis for building a framework for developing practical competence in chemistry experiments and as a measure to evaluate the practical capacity of chemistry experiments for Chemistry pedagogical students under CDIO approach training program

Review of field methods for monitoring Asian bears

Efficient and effective monitoring methods are required to assess population status and gauge efficacy of conservation actions for threatened species. Here we review the spectrum of field methods useful for monitoring distribution, occupancy, abundance, and population trend for the five species of Asian terrestrial bears. Methods reviewed include expert opinion, local knowledge, bear sign, visual observations, camera traps, DNA-based methods (hair and scat derived), and radio telemetry. We examine the application of each method in terms of realizing specific monitoring objectives, their assumptions, challenges, and advantages. Our goal is to assist researchers in matching appropriate field methods with sought-after project objectives and to highlight shortfalls and trade-offs. Methods vary greatly in terms of cost, logistics, required number and expertize of staff, and the reliability of the data they provide. Many Asian bear population assessments have relied on expert opinion, local interviews, and sign surveys to provide estimates of distribution, abundance, and trend, in part because these are inexpensive and relatively easy to employ. However, increasing use of camera traps and DNA-based methods now allow for better monitoring via occupancy or rigorous capture–recapture population estimation, with the caveat that these methods may be restricted by inadequate budgets or logistical constraints. For distribution monitoring, camera traps and DNA yield the most definitive records of presence, but in low density bear populations, sign and local knowledge may be more effective. For occupancy, camera traps and DNA are advantageous in providing definitive detections in known time periods. For abundance/density or population trend monitoring in relatively small areas (<10,000 km 2 ), bears must be individually identified and used in a mark-recapture design. This requires DNA from collections of hair or scat, or a camera-based survey in which natural chest marks are clearly visible and individually distinguishable. DNA-methods or camera traps within individual identification is best for population trend when sufficient funding is available. Alternatively, careful use of local knowledge or expert opinion may be viable options, but come with greater uncertainty. For the foreseeable future, we believe that expert opinion will likely continue to play a large part in monitoring Asian bears, but these opinions should be informed by more rigorous data from the other methods we discuss.

Architecting a BIM-Based Digital Twin Platform for Airport Asset Management: A Model-Based System Engineering with SysML Approach

Airports play an essential role within the transportation and infrastructure sectors. As modernizing and expanding airport infrastructures receive a higher priority, addressing inefficiencies in capital expenditures (CapEx) and operational expenses (OpEx) through transformative digital ecosystems is gaining an increasing level of interest. Building information modeling (BIM) can form a basis to enable an end-to-end digital delivery platform, where airport life cycle data can be utilized for actionable insights. This study proposes a scalable, novel BIM-based modularized platform architecture based on model-based system engineering (MBSE) principles with systems modeling language (SysML) for optimal collection, integration, management, and utilization of airport critical asset data. This platform architecture aims at acting as a metaframework that enables an airport digital twin through cohesive and structured view of asset life cycle information for insightful actions by major airport stakeholders. Research methodology features an online survey and focus group discussions for data collection; mixed method analysis for data analysis; MBSE with SysML for data mapping; and prototype demonstration and an expert opinion survey for validation. Adopting a scalable BIM-based digital platform is anticipated to result in boosts in business value of airport infrastructures by sustaining value generation in operations and decreasing upfront costs for technology implementation.

How consistency is handled in model-driven software engineering and UML: an expert opinion survey

How consistency is handled in model-driven software engineering and UML: an expert opinion survey

Estimating Economic Impacts of Beet Leafhopper1 on Potato and Carrot Crops in the Columbia Basin Region of Oregon and Washington

An expert opinion survey was administered to document use and cost of insecticides applied to manage beet leafhopper, Circulifer tenellus (Baker), on potato, Solanum tuberosum L., and carrot, Daucus carota L., crops in the Columbia Basin region of Oregon and Washington. Estimated total average cost of beet leafhopper management was $56.33 in carrot and $41.71 per hectare in potato. Perceptions of lost yield attributable to damage by beet leafhopper varied greatly. Estimates of yield loss were 0 to 15% in carrot and 0 to 30% in potato.

Wearable technology in orthopedic trauma surgery – An AO trauma survey and review of current and future applications

The use of wearable sensors to track activity is increasing. Therefore, a survey among AO Trauma members was conducted to provide an overview of their current utilization and determine future needs and directions.A cross sectional expert opinion survey was administered to members of AO Trauma. Respondents were surveyed concerning their experience, subspeciality, current use characteristics, as well as future needs concerning wearable technology.Three hundred and thirty-three survey sets were available for analysis (Response Rate 16.2%). 20.7% of respondents already use wearable technology as part of their clinical treatment. The most prevalent technology was accelerometry combined with smartphones (75.4%) to measure general patient activity. To facilitate the use of wearable technology in the future, the most pressing issues were cost, patient compliance and validity of results.Wearable activity monitors are currently being used in trauma surgery. Surgeons employing these technologies mostly measure simple activity or activity associated parameters. Cost was the greatest perceived barrier to implementation. Further research, especially concerning the interpretation of the outcome values obtained, is required to facilitate wearable activity monitoring as an objective patient outcome measurement tool.

Development and Validation of a New Home Cooking Frequency Questionnaire: A Pilot Study.

Home cooking and the type of cooking techniques can have an effect on our health. However, as far as we know, there is no questionnaire that measures in depth the frequency and type of cooking techniques used at home. Our aim was to design a new Home Cooking Frequency Questionnaire (HCFQ) and to preliminarily assess its psychometric properties. For this purpose we used a five-phase approach, as follows: Phase 1: item generation based on expert opinion, relevant literature and previous surveys; Phase 2: content validity assessed by experts for relevance and clarity (epidemiologists, dietitians, chefs); Phase 3: face validity and inter-item reliability; Phase 4: criterion validity using a 7-day food and culinary record; and Phase 5: test stability and inter-item reliability. The content validity index for scale and item level values provided evidence of the content validity for relevance and clarity. Criterion validity analysis showed intraclass correlation coefficients ranged from 0.31–0.69. Test–retest reliability coefficients ranged from 0.49–0.92, with ƙ values > 0.44. Overall Cronbach’s alpha was 0.90. In conclusion, the HCFQ is a promising tool with sound content and face validity, substantial criterion validity, and adequate reliability. This 174-item HCFQ is the first questionnaire to assess how often people cook and which cooking methods they use at home.

EQUITY OF TRANSIT NEED IN BAGHDAD CITY

Public transportation plays a significant role in urban areas, transporting a large percentage of people. There is no existing study dealing with the balance between transportation demand and supply in Baghdad city; thus, there is a need to assess service equity before implementing any major services. The aim of the present research is to study the equity of transit need. The methodology uses geographic information systems (GISs) and spatial multi-criteria analysis to determine equity. Nine criteria were used in this study (land use, population density, commercial activities, medical locations, bus stops walkability, educational activities, bus terminal, and income) to determine a transit need map. Expert opinion surveys are conducted to determine pairwise comparisons between these criteria to estimate the weight of each criterion. Spatial analysis in ArcGIS 10.8 is utilized to apply methodology. The transit need map is obtained, and the need for transit service is represented by a value for each cell. In addition, the map output is important to public transit planning, as it maximizes the optimal transit route selection depending on the transit need. The output of this study (a transit need map) represents a powerful tool for the decision-makers to prioritize transportation programs and ranking alternatives. Gap analysis is used to measure equity between various zones. The results show that the transit supply provides higher service coverages in the Central Business District (CBD) and decreases as the distance to CBD increases.

What Should Be Considered When Evaluating the Quality of Home Care? A Survey of Expert Opinions on the Evaluation of the Quality of Home Care in Japan.

Intending to obtain scientific evidence to use in developing indicators for evaluating the quality of home care, we surveyed doctors, nurses, and other home care professionals to determine the points they consider to be essential in evaluating home care. We investigated all 901 clinics registered to the National Association of Medical Institutions Supporting Home Care and a random sample of 600 Visiting Nurse Service stations registered to the National Association for Visiting Nurse Service in Japan. A total of 539 questionnaire responses were received (response rate: 35.9%). In this study, a factor analysis revealed four factors to be considered when evaluating the quality of home care: (1) patients’ and family members’ level of satisfaction, (2) home care process, (3) structure of home care, and (4) medical outcomes. The factor of the satisfaction of patients and family members identified in the present study was not considered in previous studies for evaluating the quality of care in Japan. Satisfaction is the point of difference in goals between hospital-based care and home care, and it requires different measurement indicators. Home care professionals expect to help relieve the physical and psychological burden felt by the patient and their family. Thus, on the evaluation indicators of quality of home care, their perspectives from the present study are valuable.

Updating the landmark literature for the practice of geriatrics: Notable articles from 2012-2019.

Remaining current on the latest advances in the peer-reviewed literature is a basic tenant of medical education and evidence-based practice. We updated an important prior publication (Vaughan, et al.) identifying landmark articles in geriatric medicine by considering the influence of altmetrics and updating the list with notable articles published between 2012 and 2019. Articles were identified by searching Web of Science and Scopus for highly cited articles clinically relevant to geriatrics or gerontology and by searching the Altmetric Explorer database for relevant articles with high altmetric scores. The results of the literature search were screened and evaluated using a bibliometric score consisting of an adjusted journal impact factor, citation count, and altmetric score. The top 12 notable articles in geriatrics were selected by a consensus panel and ranked using an expert opinion survey. This process reinforces the concept of combining subjective and objective measures to identify notable articles to be used for the education of healthcare professionals in geriatrics principles of care for older adults. While our update was performed approximately 9 years after the initial identification of landmark articles, we propose that future updates are conducted at an interval of every 5 years by the governance of a national professional society.

Critical policy drivers for Modular integrated Construction projects in Hong Kong

ABSTRACT Given the increased importance of identifying the critical Policy Driving Forces (PDFs) to uptake Modular integrated Construction (MiC) practices in Hong Kong (HK), this study aims to identify and examine the critical PDFs associated with MiC projects in HK from the perspective of industry experts. After drawing on the plentiful relevant literature and conducting a pilot study, an expert opinion survey was conducted to gather the necessary data for this study. The collected data were analysed using relevant significance analysis and factor analysis to identify critical PDFs and appropriate groupings. The results revealed 23 critical PDFs under seven critical components in three stages of the MiC process. Regulative PDFs show the highest criticality for up-taking the MiC in the initiation and planning and design phases, while Greater Bay Area development PDFs are critical in the construction phase. The PDF related to the COVID-19 pandemic is the only critical PDF that appeared in all three stages. As the first study that explores PDFs for MiC uptake throughout all project phases, this study contributes substantially to theory and practice while better informing policymakers on how to initiate MiC-related policies to boost MiC practice in HK, where MiC is achieving greater prominence in application.

Research on Design of Stalk Furniture Based on the Concept and Application of Miryoku Engineering Theory

Through discussion on the disposal of crop stalks in rural China, where stalks are usually burned in the open air, resulting in the production of a large amount of smoke and air pollution, this study has been conducted to discuss the reasonable and effective use of waste stalks, and to explain the excellent characteristics of stalks from the perspective of green, ecological sustainable design and user perceptual needs, as well as the application of stalks in furniture design. In view of the accuracy of stalks in the design of furniture products, the paper has adopted the evaluation grid method in Miryoku engineering to guide the design practice. In the research process, interviews were first conducted on the basis of sample selection, then based on the expert opinion survey method, eight testers were selected for in-depth interviews. Key words of charm factors were extracted from 190 picture samples, and then a personal evaluation structure map and statistical data were built to construct an overall evaluation structure of the rural style stalk furniture. Next, the score value of the charm factor of stalk furniture was analyzed through the Likert scale questionnaire, the charm factor and specific performance characteristics of the rural style were sorted, followed by a proposed design method. Finally, the effectiveness of the design strategy was verified with the design of stalk furniture in rural style. The study emerged with the feasibility of the design of furniture products made of stalks. The results of the study have shown the correlation between the elements of furniture products and the perceptual image of users. Furthermore, the results have demonstrated the reuse value of waste stalks and improved the innovative design of stalks in the home furnishing field, which conveys the concept of sustainable development.

Current practice trends in the surgical management of patellofemoral instability: a survey of the Paediatric Research in Sports Medicine (PRiSM) Society.

PurposePatellofemoral instability (PFI) in young athletes presents both diagnostic and management dilemmas for which consensus often does not exist. The purpose of this study was to identify trends in management of PFI in children and adolescents in the United States and nationwide.MethodsA 27-question multiple choice survey was distributed in 2018 to the members of the Pediatric Research in Sports Medicine (PRiSM) Society regarding treatment of PFI in paediatric and adolescent patients.ResultsIn all, 56 of the respondents who were orthopaedic surgeons that manage patellar instability in children and adolescents and had performed PFI surgery more than five times in the past year completed the entire survey. A total of 41% of respondents reported that surgery for fragment refixation or loose body removal was indicated when a loose body or osteochondral fragment was evident, regardless of fragment size. Overall, 74% reported that if surgery was performed for an osteochondral loose body, primary repair (36%) or reconstruction (38%) of medial patellofemoral ligament (MPFL) was also completed. A total of 89% of members reported MPFL reconstruction in the absence of alignment or rotational abnormalities, tibial tubercle lateralization or trochlear dysplasia in skeletally immature patients; 59% reported performing the MPFL reconstruction with hamstring allograft, while 30% prefer autograft (hamstring, quadriceps). For patients with significant trochlear dysplasia, 87% reported no surgical management of trochlea in first-time or in revision surgery.ConclusionThere is a lack of consensus regarding optimal diagnostic and treatment algorithms in the management of PFI, however, consistent trends have emerged among paediatric sports medicine surgeons.Level of EvidenceLevel V – survey of expert opinion and experience

품질기능전개(Quality Function Deployment)를 이용한 국내산 식재료 사용 가정간편식의 제품 설계요소 연구

The purpose of this study was to develop a concept for HMR (home meal replacement) using local foods by QFD (quality function deployment) model considering the consumer needs and the opinions of experts. A consumer survey and expert opinion survey were conducted from November to December, 2020. A total of 26 for experts and 474 for consumers were selected and used for the final analysis. As a result, the customer requirements for HMR using local foods were in the order of ‘use of wrapping paper that save the environment’, ‘nutritional balance’, and ‘hygienic cooking and production’. The results from the calculation of relative importance of technical characteristics were ‘good quality versus price’, ‘good portion size versus price’, and ‘rationality of the price compared to cooking from raw materials’ for HMR using local foods. Regarding the priority of technical characteristics for experts and needs for consumers, the QFD model identified that ‘Price’ and ‘Quality’ were the highest for HMR using local foods.

Integrating snake distribution, abundance and expert‐derived behavioural traits predicts snakebite risk

Abstract Despite important implications for human health, distribution, abundance and behaviour of most medically relevant snakes remain poorly understood. Such data deficiencies hamper efforts to characterise the causal pathways of snakebite envenoming and to prioritise management options in the areas at greatest risk. We estimated the spatial patterns of abundance of seven medically relevant snake species from Sri Lanka, a snakebite hotspot, and combined them with indices of species' relative abundance, aggressiveness and envenoming severity obtained from an expert opinion survey, to test whether these fundamental ecological traits could explain spatial patterns of snakebite and envenoming incidence. The spatial intensity of snake occurrence records in relation to independent environmental factors (fundamental niches and land cover) was analysed with point process models. Then, with the estimated patterns of abundance, we tested which species' abundances added together, with and without weightings for aggressiveness, envenoming severity and relative abundance, best correlate with per capita geographic incidence patterns of snakebite and envenoming. We found that weighting abundance patterns by species' traits increased correlation with incidence. The best performing combination had three species weighted by aggressiveness and abundance, with a correlation of r = 0.47 (p &lt; 0.01) with snakebite incidence. An envenoming severity and relative abundance‐weighted combination of two species was the most strongly associated with envenoming incidence (r = 0.46, p = 0). Synthesis and applications. We show that snakebite risk is explained by abundance, aggressiveness and envenoming severity of the snake species most frequently involved in envenoming cases. Incorporating causality via ecological information of key snake species is critical for snakebite risk mapping, helping to tailor preventive measures for dominant snake species and deploying the necessary antivenom therapies.

Strategies for sustainable irrigation system management: a socio-technical system approach

PurposeIrrigation System Management (ISM) poses many issues in terms of social and technical aspects. These can be further elaborated as the issues toward the efficiency of infrastructure, equity of water sharing, environmental integrity and economic acceptability. Water losses and the structural changes of the system caused many issues putting the irrigation system into distress. Hence, this urges the need for sustainable ISM to improve social and technical attributes in ISM. This paper aims to apply the Socio-Technical Systems (STSs) theory for sustainable ISM.Design/methodology/approachThe qualitative expert opinion survey method was selected as the research strategy to approach the research aim. Sixteen industry professionals in the ISM sector were selected through the purposive sampling method to conduct semi-structured interviews to collect data in the Sri Lankan context. Code-based content analysis through a directed approach was used to analyse the data.FindingsFour main categories of strategies were emerged from the research findings as “engineering strategies”, “operational strategies”, “management strategies” and “regulatory strategies” through STS approach for sustainable ISM. The STS framework was developed by combining engineering and operational strategies into the technical subsystem and the management and regulatory strategies into the social subsystem to approach the aim of achieving contemporary system management in irrigation in a sustainable manner.Originality/valueThe research revealed the links between the strategies emerged from various disciplines to minimise the issues in ISM from the perspectives of technical and social subsystems. The study contributes to knowledge by providing a framework for sustainable ISM by applying the socio-technical systems theory by integrating the concepts of sustainability.

Machine learning for the identification of competent project managers for construction projects in Nepal

PurposeProject manager’s competency is crucial in the construction sector for the successful completion of projects, particularly in the case of developing countries like Nepal. Therefore, it is very essential to select competent project managers by finding the competency factors required by them. Hence, this study aims to identify the characteristics of competent project managers by expert opinion method and to evaluate their competency level by a questionnaire survey to develop a prediction model using a supervised machine learning approach via Waikato Environment for Knowledge Analysis (WEKA), a machine learning tool which predicts Project manager’s performance as “Higher than expected,” “Expected” or “Lower than expected” for the medium complexity construction projects of Nepal (from US$200,000 up to US$10M).Design/methodology/approachThe data collection procedure for this research is based on an expert opinion method and survey. Expert opinion method is conducted to find the characteristics of a competent project manager by validating the top 15 competency factors based on literature review. The survey is conducted with the top management to assess their project manager’s competency level. Both qualitative and quantitative approaches are used to collect data for classification and prediction in WEKA, a machine learning tool.FindingsThe results illustrate that the project managers in Nepal have a high score in leadership skills, personal characteristics, team development and delegation, communication skills, technical skills, problem-solving/coping with situation skills and stakeholder/relationship management skills. Furthermore, among the seven classifiers (naïve Bayes, sequential minimal optimization [SMO], multilayer perceptron, logistic, KStar, J48 and random forest), the accuracy given by the SMO algorithm is highest of all in both the percentage split and k-folds cross validation method. The model developed using SMO classifier by k-folds cross-validation (k = 10) is acknowledged as a final model.Research limitations/implicationsThis research focuses to develop a prediction model to predict and analyze the competency of project managers by applying a supervised machine learning approach. Seven extensively used algorithms (Naïve Bayes, SMO, multilayer perceptron, logistic, KStar, J48, random forest) are used to check the accuracy of models and an algorithm that gives the highest accuracy is adopted. Data collection for this research is carried out by expert opinion method to validate the characteristics (factors) essential for competent project managers in the first round and the description of each factor as high, medium and low is inquired with the same experts in the second round. After an expert opinion, a structured questionnaire is prepared for the survey to assess the competency level of project managers (PMs). The competency level of PMs working under government funded, foreign aided or private projects from the contractor’s side is measured. This research is limited to the medium scale construction projects of Nepal.Practical implicationsThis model can be a huge asset in the human resource department of construction companies as it helps to know the performance level of project managers in terms of “Higher than expected,” “Expected” or “Lower than expected” for the medium complexity construction projects of Nepal. Also, the model will assist human intelligence to make the decision while recruiting a new project manager/s for different types of projects at a time. Moreover, the model can be used for self-assessment of project manager/s to know their performance level. The model can be used to develop a user friendly interface system or an application such that it can be conveniently used anywhere any time.Social implicationsThis research shows that most of the project managers working in a medium complexity construction project of Nepal are male, maximum of them hold bachelor’s degree and study for road projects. Furthermore, most of the project managers scored high in leadership skills, personal characteristics, communication skills, technical skills, problem-solving/coping with situation skills, team development and delegation and stakeholder/relationship management skills. The model has given the “Personal characteristics” attribute the highest weightage. Likewise, other attributes having high weightage are communication skills, analytical abilities, project budget, stakeholder/relationship management, team development and delegation and time management skills.Originality/valueThis research was conducted to find the competency factors and to study the competency level of project managers in Nepal to develop a prediction model to predict the PM’s performance using a machine learning approach in medium scale construction projects. There is a lack of research to develop a model that predicts project manager’s competency using the machine learning approach. Therefore, the predictive model developed here helps in the identification of a competent project manager as it will be advantageous for project completion with a high success rate.

Capabilities to withstand vulnerabilities and boost resilience in industrialized construction supply chains: a Hong Kong study

PurposeGiven the heightened imperatives for boosting supply chain resilience (SCR) in industrialized construction (IC), it is essential to explore the correlational impacts of supply chain vulnerabilities (SCV) and supply chain capabilities (SCC) which are the measures of SCR, specifically in Hong Kong where policymakers actively promote IC. Therefore, this study aims to develop a model to explore the correlational impacts of vulnerabilities and capabilities targeting SCR in IC.Design/methodology/approachAfter drawing on the general literature on SCR, empirical research using an expert opinion survey was conducted following the methodological framework of this study. The gathered data were then subjected to the partial least squares structural equation modeling process. Thereby, four hypotheses were formulated and tested for 20 capability–vulnerability relationships.FindingsSeven of the 20 statistical relationships tested were identified to be significant. Accordingly, production-based SCV were identified as the most critical disruptions. “Resourcefulness” could substantially withstand production-based SCV, receiving the highest path significance. An “enablers-results framework” for achieving SCR of IC was also developed based on these findings to help industry practitioners with SCR implementation.Originality/valueTo the authors' knowledge, this is the first structured evaluation model that measures the correlational impacts of SCC and SCV targeting SCR in the construction domain. Further, this study adds substantially to the existing SCR and construction “body of knowledge” by proposing a model explaining how various SCV and SCC influence SCR in IC. These findings also inform the industry where and how to deploy critical SCC at appropriate levels, targeting critical SCV, to contain or extirpate them.

Designing a Patient Room as a Fall Protection Strategy: The Perspectives of Healthcare Design Experts.

Despite decades of research into patient falls, there is a dearth of evidence about how the design of patient rooms influences falls. Our multi-year study aims to better understand how patient room design can increase stability during ambulation, serving as a fall protection strategy for frail and/or elderly patients. The aim of this portion of the study was to ascertain the architect’s perspective on designing a room to mitigate the risk of falls, as well as to evaluate the face validity of a predictive algorithm to assess risk in room design using the input of a design advisory council (AC). The purpose of this paper is to provide insight into the design process and decision-making for patient rooms; summarize the impressions of industry experts about the configurations and layout of the patient rooms tested in a preliminary augmented reality model; establish the face validity of modeled heat maps depicting risk; and report the results of a pre-meeting and post-meeting survey of expert opinions. Feedback was coded using human factors/ergonomic (HF/E) design principles, and the findings will be used to guide further development of an “optimal” prototype room for human subject testing. The results confirm the challenges that architects face as they balance competing priorities and reveal how a participatory process focusing on preventing falls can shift assumptions about design strategies, especially subtle changes (e.g., toilet orientation).