Design Process Research Articles

A metaheuristic-based optimization model for flight procedure design

In recent years, the continuous increase in air traffic has led to a saturation of available airspace. The new localizer performance with vertical guidance (LPV) instrument approach procedures (IAPs) offer additional capacity at aerodromes and in airspaces. To support their implementation, a specifically developed model focused on the improved IAP design process and optimized solution generation is proposed. The model provides a fully automated search of the solution space by employing the bee colony optimization metaheuristic algorithm. The resulting list of alternatives is ranked by the objective function score, which is affected by the balancing values of the complexity indicators and the achieved obstacle clearance height. The model’s capabilities are successfully validated against the challenging operational environment of Podgorica Airport. The model was initially developed to conduct IAP feasibility studies; however, it can also be used in the initial stages of airport planning projects or for IAP criteria validation.

Guidelines for Integrating actionable A-SMART Learning Outcomes into the Backward Design Process

Background Learning outcomes are essential in education, guiding both educators and learners towards desired knowledge, skills, and competencies. The backward design process offers a structured approach to curriculum planning, but its integration with actionable, SMART (Specific, Measurable, Achievable, Relevant, Time-bound) learning outcomes needs further exploration. Goal This guide aims to introduce the concept of "A-SMART" learning outcomes and demonstrate their integration into the backward design process, focusing on outcomes that begin with action verbs. Methods The guide outlines a three-stage curriculum planning approach: (i) define desired results, (ii) determine acceptable evidence of learning, and (iii) plan learning activities. It emphasizes the importance of starting with action verbs in formulating learning outcomes, aligning with Stage 1 of backward design and facilitating the transition to Stage 2 (assessment development). Results By following this guide, educators will acquire tools to develop effective "A-SMART" learning outcomes. This approach immediately advances to Stage 2 of backward design, improving educational practices and ensuring alignment with assessment methods. The guide provides strategies for formulating outcomes that are Action-oriented, Specific, Measurable, Achievable, Relevant, and Time-based. Conclusions The integration of A-SMART learning outcomes into the backward design process offers a more cohesive and effective educational framework. This approach enhances clarity for learners, provides guidance for instructors, enables more effective assessments, and improves overall learning experiences. The guide also addresses potential challenges in formulating A-SMART outcomes and suggests solutions, including the use of AI tools for inspiration and critical review.

A 3D Spatial Model to integrate Stormwater Drainage Design into Public Space

Abstract. This paper explores the integration of water sensitive urban design within public space planning using integrated 3D digital technologies. In traditional design processes, drainage and public space design often utilise distinct software and are led by different professionals, which creates significant communication barriers.Although civil and hydraulic engineers have made significant strides in integrating hydrology analysis with multi-objective space design, the collaboration of conventional 2D hydrology with 3D landscape design still presents challenges. To address these challenges, this study proposes a novel approach that integrates drainage analysis and design within a 3D design model. This methodology is specifically designed to aid landscape and urban designers in incorporating stormwater management and drainage systems early in the design process. The approach involves three key steps: (1) identifying critical factors that impact, or are impacted by, drainage design; (2) translating these factors into specific spatial parameters; and (3) developing a workflow to integrate these parameters. This integration not only streamlines the design process, making it more cohesive and efficient but also mitigates potential conflicts between drainage requirements and spatial design, thereby reducing unnecessary revisions. Ultimately, this approach enhances the incorporation of essential drainage considerations into urban and landscape planning, leading to more sustainable and functional public spaces.

Considerations When Designing Inclusive Digital Health Solutions for Older Adults Living With Frailty or Impairments.

This viewpoint is written by authors with industrial, clinical, and academic backgrounds within medical and social sciences. The purpose is to share our experiences with digital health innovation from a sociotechnical perspective. The audience for the viewpoint is innovators, researchers, service designers, and project managers with little or some experience with theory-informed programs, complex interventions, and implementation or reorganization of sociotechnical ecosystems in health care. In digital health innovation projects, barriers related to traditions and cultures among researchers, clinicians, and industry may arise. Moreover, the final digital solutions may not always fit into existing digital ecosystems and may thus require a reorganization of how health care is provided at horizontal and vertical levels. The collaborating researchers have experience working in the field of digital health innovation for more than a decade, and we have developed and used 4 frameworks and models that are particularly relevant for theory-based complex interventions and can be used to inform inclusive co-design of digital health solutions with a sociotechnical perspective. These are (1) the 4E, a matrix to include, engage, empower, and emancipate marginalized people; (2) the GO-TO model, which can be used as a design navigator; (3) the Epital Care Model, to inform infrastructure; and (4) the Readiness and Enablement Index for Health Technology instrument, to stratify service users. From January 2021 to September 2024, we had the opportunity to apply these into practice in 4 living labs located in Denmark, Norway, the Netherlands, and Canada as a part of a European Union-funded project on "Smart Inclusive Living Environments." The goal was to cocreate a digital solution and reorganize health care services to reduce social isolation, increase health literacy, and enhance well-being for older adults living with frailty or impairments. Based on our experiences with the Smart Inclusive Living Environments project, we have formed a proposal for how design guidelines for sociotechnical innovation projects can be structured, backed up with reflections based on our experiences. With that, design guidelines should include three areas: (1) a common vocabulary including theories, frameworks, and models; (2) templates and protocols for methods, including detailed guidelines and templates for the planned development of the technologies; and (3) methods to implement and provide education and training of service users and informal and formal caregivers. In the design process, we emphasize the importance of involving relevant stakeholders in the implementation of the created design guidelines to obtain preparedness in the organizations, as well as including putative service users to ensure the likelihood of adoption. Moreover, it is important to align expectations, have a common understanding of the applied frameworks and methods, and have access to the necessary resources to reach successful results.

CAD Sensitization, an Easy Way to Integrate Artificial Intelligence in Shipbuilding

There are two main areas in which the Internet of Ships (IoS) can help: firstly, the production stage, in all its phases, from material bids to manufacture, and secondly, the operation of the ship. Intelligent ship management requires a lot of information, as does the shipbuilding process. In these two phases of the ship’s life cycle, IoS acts as a key to the keyhole. IoS tools include sensors, process information and real-time decision-making, fog computing, or delegated processes in the cloud. The key point to address this challenge is the design phase. Getting the design process right will help in both areas, reducing costs and making agile use of technology to achieve a highly efficient and optimal outcome. But this raises a lot of new questions that need to be addressed: At what stage should we start adding control sensors? Which sensors are best suited to our solution? Is there anything that offers more than simple identification? As we begin the process of answering all these questions, we realize that a Computer Aided Design (CAD) tool, as well as Artificial Intelligence (AI), mixed in a single tool, could significantly help in all these processes. AI combined with specialized CAD tools can enhance the sensitization phases in the shipbuilding process to improve results throughout the ship’s life cycle. This is the base of the framework developed in this paper.

Development and workflow of a separation process for optimum design: A case of phenylenediamine

AbstractAn industrial project based upon the multi‐scale objective‐oriented process development (MOPD) method for developing an optimum process for separating phenylenediamine (PDA) isomers was executed. This article reports the first four (4) steps of that project. In the first step, the solution for this separation problem was conceptualized. It is a distillation‐crystallization‐hybrid process. The second step is to validate the concept experimentally from the thermodynamic point of view followed by kinetic considerations. It was found that a 2‐stage crystallization is required to purify the main product isomers to the desirable specification that is higher than 99.5 mol%. A heat and material balance model was then constructed for analyzing and optimizing various design variables, also used to understand the operability of the process. Finally, with proper HAZOP analysis and detailed engineering, the pilot unit was designed. Throughout the project, all exercises and efforts are well focused with clear objectives, hence there are minimum detours on the execution; furthermore, the clear objectives enhanced the communications among various disciplines tremendously. It is a valuable asset for senior management in the allocation of resources and budgets.

A Culturally Sensitive Mobile App (DiaFriend) to Improve Self-Care in Patients With Type 2 Diabetes: Development Study.

Mobile apps designed with cultural sensitivity have demonstrated higher user acceptability and greater effectiveness in enhancing self-care skills. However, a significant gap exists in developing such apps for specific populations, such as Portuguese Americans living in southern Massachusetts, home to the second-largest Portuguese community in the United States. This group possesses unique cultural traditions, particularly in dietary practices, including a tendency toward high carbohydrate intake. Tailoring diabetes self-care apps to address these specific cultural requirements could substantially improve diabetes management within this population. The aim of this app development project was to develop a prototype diabetes management app for Portuguese Americans with type 2 diabetes mellitus using the design thinking methodology, incorporating user-centered design principles and cultural sensitivity. This paper describes the phase-2 results, focusing on app design and development. Phase 2 of this app development project adhered to the design thinking methodology delineated by the Hasso Plattner Institute of Design at Stanford University, focusing on 2 critical steps: ideation and prototyping. This phase started in March 2022 and continued until April 2024. The project was driven by a multidisciplinary team consisting of 2 nurse educators; an app development specialist; and 2 graduate research assistants from the university's Computer and Information Sciences Department, both well-versed in mobile app development. Data collected during phase 1, which will be published separately, informed the app design and development process. The prototype of the DiaFriend app (version 1) was designed and developed. The app comprises five features: (1) blood glucose monitoring, (2) weight tracking, (3) carbohydrate tracking, (4) exercise log, and (5) medication reminder. The carbohydrate tracking feature was explicitly tailored to correspond to Portuguese food culture. This paper presents the front-end interface flowchart, demonstrating how the user navigates through each screen. It also discusses the challenges faced during the backend development, such as data not being able to be stored and retrieved. The DiaFriend app (version 1) distinguishes itself from conventional diabetes self-care apps through its emphasis on cultural sensitivity. The development of this app underscores the importance of cultural considerations in health informatics. It establishes a foundation for future research in developing and evaluating culturally sensitive mobile health apps. The adaptation of such technologies has the potential to enhance self-care practices among Portuguese Americans with type 2 diabetes mellitus, with improved glycated hemoglobin levels as a potential outcome. The last step of the design thinking methodology, testing the app, will be conducted in phase 3 and the results will be published elsewhere.

Wearables for the Bladder: Stakeholder Perspectives on Moving Multiple Sclerosis Bladder Dysfunction Interventions Into the 21st Century.

Bladder dysfunction (BD) is common in people with multiple sclerosis (MS) and can reduce participation in daily life. Detecting BD early allows for effective prevention-focused treatments such as pelvic floor physical therapy. Pairing neurotechnology with patient-reported outcomes to remotely measure BD could significantly improve monitoring and treatment of BD. Therefore, we describe the process and findings of stakeholder engagement from a human-centered design process to assemble a wearables for the bladder (WeB) kit. Four people with MS with varying BD severity, and 5 MS clinical/research experts had 4 virtual meetings. Commercially available bladder tools were graded for ability to evaluate, monitor, or treat BD. The Health Information Technology Usability Evaluation Scale (utility, usability, feasibility) was used for evaluation. Scoring was performed individually and as a group. Of the 11 devices, 5 obtained mean scores of greater than 6 of 10 for likability, usability, and device utility. The 2 highest scoring (9/10) devices were selected for the pilot. One device measures bladder urine levels, reporting the number/frequency of voids/leaks; the other guides pelvic floor exercises by pairing games on an app with biofeedback from intravaginal sensors. We uncovered critical differences in experts' and patients' appreciation of the tools, and the collaborative engagement led to substantial revisions of initial tool scores. This process underscores the critical role of stakeholder engagement in the selection of digital tools, especially in sensitive domains like pelvic function. Ongoing clinical validation of the selected tools will yield a validated, user-friendly WeB kit that is able to fill gaps in our ability to evaluate BD treatments in people with MS, ultimately reducing the impact of BD on quality of life.

SỬ DỤNG PHƯƠNG PHÁP DẠY HỌC ÂM NHẠC ORFF-SCHULWERK ĐỂ PHÁT TRIỂN NĂNG LỰC DẠY HỌC TÍCH HỢP CHO SINH VIÊN SƯ PHẠM ÂM NHẠC

Using the Orff-Schulwerk method in music teaching at high school levels has created an experiential learning environment that not only helps students develop musical knowledge but also brings educational experiences. diverse and rich but also contributes to helping students develop comprehensively and have flexible thinking in the learning process. Therefore, this research article points out the principles of music teaching according to the Orff-Schulwerk method and focuses on analyzing and using nursery rhymes and folk songs in the lesson design process. From there, deploy lectures for music pedagogy students according to Orff-Schulwer's teaching method to develop integrated teaching capacity for music pedagogy students.

THIẾT KẾ CHỦ ĐỀ GIÁO DỤC STEM “ĐÀN T’RƯNG TÂY NGUYÊN” TRONG DẠY HỌC MẠCH NỘI DUNG ÂM THANH MÔN KHOA HỌC LỚP 4 CHO HỌC SINH KHU VỰC TÂY NGUYÊN

In teaching science at the elementary level, applying STEM education not only reflects the appropriate content and integrated teaching perspective of the subject but also helps teachers organize lessons in a lively way that links theoretical content with students' real lives. Integrating local elements into the topic of STEM education brings great significance, including helping students achieve the quality and capacity requirements of the lesson, gain a deep awareness of the lesson, and be more aware of their culture and surroundings. This article presents the basis and conduct of designing the STEM educational theme “Tay Nguyen T' Rung” in teaching sound content in Science subject for grade 4 students in the Tay Nguyen region according to the design process. proposed includes 3 steps: Identifying STEM education topics; Analyzing the content of STEM education topics; and Designing the process of organizing activities on STEM education topics.

Determination of Load Forces on the Upper Part of Orthopedic and Postoperative Shoes

Determined patterns of force load on the sole and upper of orthopedic and postoperative shoes when bending the foot while walking. To determine the force of the load on the top of the postoperative orthopedic shoes, the frictional forces between the lateral surfaces of the shoes and the outer lateral sides of the foot can be neglected. Thus, the task will be reduced to the compilation of equilibrium equations of a plane system of forces. As can be seen from the load diagram of the top of the shoe, we have a flat arbitrarily located system of forces. To determine the unknown forces, it is necessary to compile a system of two equilibrium equations, which will represent the algebraic sums of the projections of all forces on the horizontal and vertical axes. To automate the design process of orthopedic and postoperative shoes, a computer program was developed that allows you to perform calculations of the corresponding forces and tension depending on the design and types of material of individual elements, as well as obtain regression equations for determining the effect of tension on the magnitude of the detachment force.

Design for Sustainability Tools: Definition and criteria towards practical use

The evolution of design to meet the growing sustainability challenges has led to the development of knowledge expressed in different approaches, principles and strategies. To be able to operationalize this knowledge, several design for sustainability (DfS) tools have been created. However, these tools have not been the target of massive and systematic practical use by designers, nor have they been the subject of many studies that allow analyzing, classifying and understanding their capabilities in a real context to improve application rates.With the end goal of supporting designers in using DfS tools more systematically, this research work aims to establish two essential foundations that can lay the ground for the practical selection and application of tools in the future: 1) a clear and comprehensive definition of what constitutes a DfS tool from the designer's perspective, including its scope and boundaries; 2) a list, hierarchization, and evaluation of criteria for classifying, organizing, and selecting tools based on project and designer needs.The methodology used in this research incorporates three main methods: 1) literature review to establish the state-of-the-art, basis for constructing a definition of DfS tool and for identifying and selecting criteria; 2) survey for designers to validate the main components of the DfS tool definition; 3) value analysis methodology for classifying and valuing the classification criteria by designers.Based on this process, it was possible to construct a comprehensive definition of what a DfS tool is and to establish and organize a set of criteria that can facilitate the classification and organization of tools. This allows for better identification of their characteristics, demands and functionalities to align the tools with the design process and its needs.

Design And Build Project Risk Analysis at Tugu Pal 0 Stage II Project Construction

The implementation of the design and build method in the Phase II Pal Nol Monument construction project, managed by the Public Works and Spatial Planning Agency (PUPR) of South Kalimantan Province, aims to analyze the risks associated with the design and construction processes. This project, which utilizes an integrated design and build construction method (multi-year), is located on Jl. Dharma Praja within the South Kalimantan Provincial Office Area and executed by the contractor KSO ADHI-PUTRA. A comprehensive risk mitigation strategy for the project includes detailed work planning, effective coordination, periodic evaluation, a thorough understanding of design specifications, continuous risk analysis, flexible contingency plans, and strong communication with government entities and stakeholders. Keywords: Risk Analysis, Design and Build, Construction, Tugu PAL 0 Stage II

Adaptive asymptotic tracking control of constrained nonlinear MIMO systems subject to unknown hysteresis input: A novel network-based strategy

This paper presents a referential adaptive asymptotic tracking control scheme for nonlinear multi-input and multi-output (MIMO) systems with time-varying full-state constraints and unknown hysteresis input. In order to achieve good asymptotic tracking effect, a zero-limit positive continuous function is introduced into the adaptive backstepping design process while thoroughly considering the impact of disturbance-like terms on the tracking effect. Additionally, a new variable is also imported to replace the reciprocal of unknown coefficient of the Bouc–Wen hysteresis model. Then, a new adaptive law about the new variable is added by combining the positive function, which can not only lessen the impact of the unknown hysteresis input on the tracking effect, but also avoid the “singularity” problem. Aiming at the time-varying full-state constraints, a appropriate time-varying log-type barrier Lyapunov function (TLBLF) is constructed to ensure that all the states of the system are restricted within the constraint scope. Finally, a significant adaptive asymptotic tracking scheme is designed based on multi-dimensional Taylor network (MTN) approximation technology. Apart from achieving high-precision asymptotic tracking performance, the proposed scheme ensures the boundedness of all signals of the closed-loop system without violating the full-state constraints. And, three simulations are given to verify the effectiveness of the scheme.

A model-driven approach for prospective ergonomics: application to ikigai robotics

Prospective Ergonomics requires building a vision of the future, which can be achieved empirically (e.g. analysing unmet needs) and/or creatively (e.g. creating future needs). We develop an alternative way of imagining the future, through a model-driven approach. Based on several developmental models, we provide a global picture of possible future(s) emphasising higher-ordered motivations and values (e.g. meaningfulness, accomplishment). To implement them, we then present a model of human accomplishment reinterpreting the concept of ikigai in light of selected psychological theories (e.g. self-determination, eudaemonic well-being, mindfulness). Finally, we apply it to an Industry 5.0 case study named ikigai robotics: we designed an equipment for railway maintenance following a double design process – a functional design loop and a motivational design loop. The process proved inspirational and the results both original and promising, opening avenues for Prospective Ergonomics to develop a new approach for designing the future.

Procedural inclusiveness can mitigate trust challenges in environmental policymaking

ABSTRACT Decreasing political trust poses severe challenges, particularly in policy domains where solutions to societal problems are urgently needed. The reason is that low trust decreases citizens' support for policy interventions. Since trust is difficult to increase in the short to medium term, this study explores how negative trust effects on policy support could be mitigated through policymaking procedures. We connect literature on policy design processes and trust to argue that involving broader actor coalitions when designing a policy is likely to mitigate the negative trust effect on public policy support. We test this argument with an empirical focus on environmental policy, based on data from a survey experiment in Switzerland (N = 6116). Our study design combines a choice experiment with treatment conditions for procedural inclusiveness and various levels of policy stringency with a novel approach to measuring trust. The main finding is that greater inclusiveness in terms of engaging a broader actor coalition in the policy design process reduces otherwise negative effects of low trust on policy support. The main policy implication is that political trust challenges are not a predicament for failure in addressing urgent societal problems but can be offset by including broad actor coalitions in policy design processes.

Development of Digital Teaching Materials for Short Story Texts Based on Local Wisdom in Middle Schools (Phase D)

Education must integrate local wisdom to prevent cultural values ​​from fading in the era of globalization. The Merdeka Curriculum supports this with the flexibility to emphasize character education and independence. Digital teaching materials based on local wisdom, such as short story texts, can improve students' reading, writing and cultural understanding skills. The aim of this research is to develop and test digital teaching materials for short story texts based on local wisdom for junior high school students. This research used the ADDIE method with the help of 2 media and language validators as well as 6 students and 3 teachers in testing teaching materials. Data collection techniques were carried out using questionnaires, interviews and documentation. The teaching material design process begins with an analysis of student needs and the curriculum, followed by creating a storyboard and validation by two validators who state that the teaching material is very worthy of being tested. The implementation of local wisdom-based teaching materials shows high effectiveness, with student responses reaching 90% and teacher responses 87%, both in the very good category.

Jitegemee (rely on yourself): a multi-phase process of co-creating a personal savings intervention with female sex workers in western Kenya to reduce their HIV risk

BackgroundHIV prevalence among female sex workers (FSW) is significantly higher than among women in the general population. Studies have shown that FSW engage in unprotected sex which provides higher compensation when they face emergency situations. We co-created a savings intervention – Jitegemee (rely on yourself) – with FSW to encourage them to save part of their earnings to withdraw in emergency situations in order to reduce risk.MethodsWe undertook a five-phase intervention development process between February 2021 and July 2023: 1) qualitative interviews with FSW to identify essential intervention features; 2) pilot trial to assess intervention feasibility; 3) literature review of studies on economic empowerment of FSW; 4) scoring of key components of Phases 1–3 on a scale of 1–5 (1 = definitely exclude, 5 = definitely include), for inclusion in the intervention package; 5) workshops with FSW and other key stakeholders to co-design the intervention.ResultsIn phase 1, nearly all participants (99%) found the intervention acceptable to them and 95% believed it would be acceptable to other FSW. Participants suggested inclusion of financial literacy (75%), savings groups (38%) and goal-setting (24%). In the feasibility assessment, 41% saved, of whom 46% withdrew some savings. Condom use was higher among FSW who withdrew their savings compared to those who did not (χ2 7.52; p = 0.006). In Phase 3, we identified 14 intervention components. In phase 4, all suggested intervention components scored 4.5 on average. In phase 5, we held 3 workshops with FSW to co-design the intervention, which included instructions for how to save and make withdrawals, financial literacy training, and formation of savings groups.ConclusionsA savings intervention for and by FSW was highly acceptable and feasible. Involving end-users in the design process is likely to result in greater economic security among FSW and lower engagement in higher risk transactional sex.

Fast stability enhancement of inverter‐based microgrids using NGO‐LSTM algorithm

AbstractTo improve the stability of the inverter‐based microgrid (MG), this paper employs a novel data‐driven based method to coordinately adjust control parameters of inverters in a fast local manner. During the design process, an offline eigenvalue based optimization problem that is used to calculate the optimal control parameters under various operating conditions is first constructed. In order to reduce reliance on full system information, a feature selection algorithm is utilized to extract the most relevant local measurements that influence the adjustment of each control parameter. Then, regarding local measurements as input variables and optimal control parameters as output variables, based on northern goshawk optimization (NGO) and long short‐term memory (LSTM) network, a novel deep learning algorithm is proposed to train the local parameter adjustment model (LPAM) by learning the mapping relationship between them. During the application, to guarantee the stability of MG all the time, a security region based shielding mechanism is developed, where the improper control parameter adjustment will be replaced by a safe one. The case study indicates that the proposed algorithm has better mapping accuracy than traditional LSTM neural networks and also faster calculation speed than the traditional offline optimization‐based method. The effectiveness and advantages of the proposed method are demonstrated in a modified 9‐bus MG.

Design and development of a machine-learning-driven opioid overdose risk prediction tool integrated in electronic health records in primary care settings

BackgroundIntegrating advanced machine-learning (ML) algorithms into clinical practice is challenging and requires interdisciplinary collaboration to develop transparent, interpretable, and ethically sound clinical decision support (CDS) tools. We aimed to design a ML-driven CDS tool to predict opioid overdose risk and gather feedback for its integration into the University of Florida Health (UFHealth) electronic health record (EHR) system.MethodsWe used user-centered design methods to integrate the ML algorithm into the EHR system. The backend and UI design sub-teams collaborated closely, both informed by user feedback sessions. We conducted seven user feedback sessions with five UF Health primary care physicians (PCPs) to explore aspects of CDS tools, including workflow, risk display, and risk mitigation strategies. After customizing the tool based on PCPs’ feedback, we held two rounds of one-on-one usability testing sessions with 8 additional PCPs to gather feedback on prototype alerts. These sessions informed iterative UI design and backend processes, including alert frequency and reappearance circumstances.ResultsThe backend process development identified needs and requirements from our team, information technology, UFHealth, and PCPs. Thirteen PCPs (male = 62%, White = 85%) participated across 7 user feedback sessions and 8 usability testing sessions. During the user feedback sessions, PCPs (n = 5) identified flaws such as the term “high risk” of overdose potentially leading to unintended consequences (e.g., immediate addiction services referrals), offered suggestions, and expressed trust in the tool. In the first usability testing session, PCPs (n = 4) emphasized the need for natural risk presentation (e.g., 1 in 200) and suggested displaying the alert multiple times yearly for at-risk patients. Another 4 PCPs in the second usability testing session valued the UFHealth-specific alert for managing new or unfamiliar patients, expressed concerns about PCPs’ workload when prescribing to high-risk patients, and recommended incorporating the details page into training sessions to enhance usability.ConclusionsThe final backend process for our CDS alert aligns with PCP needs and UFHealth standards. Integrating feedback from PCPs in the early development phase of our ML-driven CDS tool helped identify barriers and facilitators in the CDS integration process. This collaborative approach yielded a refined prototype aimed at minimizing unintended consequences and enhancing usability.