Safety Incidents Research Articles

Anti-fouling array paper-based device for rapid and accurate discrimination of foodborne pathogens in real samples.

Anti-fouling array paper-based device for rapid and accurate discrimination of foodborne pathogens in real samples.

Transformation of Patient Safety Culture through Clinical Communication: A Critical Analysis of Implementing ISBAR3 on Nursing Literature

Effective clinical communication is a fundamental element in ensuring patient safety. ISBAR3 (Identification, Situation, Background, Assessment, Recommendation, Read-back, Risk) as a structured communication method has the potential to transform the culture of patient safety in nursing practice. This study critically analyzes the implementation of ISBAR3 in the Indonesian nursing literature for the 2018-2023 period through a qualitative methodology based on a literature study. The results of the analysis revealed the multidimensional impact of ISBAR3 on improving the quality of nursing handover, patient satisfaction, and reducing safety incidents. Factors supporting and inhibiting implementation include teamwork, organizational learning, workload, and management support. Implementation optimization requires a comprehensive approach including contextual adaptation, capacity building, system integration, policy support, and continuous evaluation. The transformation of patient safety culture through ISBAR3 represents a fundamental shift from a reactive to a proactive paradigm in Indonesian healthcare.

ABLE-22: Safety and efficacy evaluation of nadofaragene firadenovec alone or in combination with chemotherapy or immunotherapy—A randomized, open-label, phase 2 study.

TPS4630 Background: Bacillus Calmette-Guérin (BCG) is the standard first-line therapy for patients with high-risk non–muscle-invasive bladder cancer (NMIBC) with carcinoma in situ (CIS) ± papillary tumors; however, patients whose disease is unresponsive to BCG therapy are unlikely to benefit from further courses of BCG. Bladder-preserving treatment options for patients with BCG-unresponsive NMIBC with CIS ± Ta/T1 include intravesical gene therapy (nadofaragene firadenovec-vncg), intravesical chemotherapy (gemcitabine and docetaxel), and immunotherapy (intravenous pembrolizumab and intravesical nogapendekin alfa inbakicept-pmln). In a pivotal phase 3 study, 53.4% of participants (55/103) with BCG-unresponsive NMIBC with CIS ± Ta/T1 achieved a complete response (CR) within 3 months of a single instillation of nadofaragene firadenovec, and of them, 45.5% (25/55) maintained a CR at 12 months. Nadofaragene firadenovec in combination with chemotherapy or immunotherapy may further improve clinical efficacy. ABLE-22 (NCT06545955) is an interventional study evaluating the safety and efficacy of nadofaragene firadenovec alone or in combination with chemotherapy (gemcitabine and docetaxel) or immunotherapy (pembrolizumab) in participants with high-risk BCG-unresponsive NMIBC. Participants not responding at month 3 will be offered reinduction. Methods: ABLE-22 will include approximately 40 to 75 sites across the United States and Canada; sites in Asia, Australia, and Europe may be included. Participants (anticipated N = 150) will be randomly assigned 1:1:1 to receive nadofaragene firadenovec (n = 50), nadofaragene firadenovec plus gemcitabine and docetaxel (n = 50), or nadofaragene firadenovec plus pembrolizumab (n = 50). Adults aged ≥18 years with documented NMIBC with CIS ± Ta/T1 that is unresponsive to ≥2 courses of BCG therapy within the last 12 months are eligible to enroll. The primary endpoint is CR (defined as absence of low- and high-grade NMIBC) at months 3 or 6, as participants with persistent NMIBC (any CIS, low-grade Ta, and > 3 cm or multifocal high-grade Ta) will be offered reinduction once, at month 3. Secondary endpoints include durability of CR, incidence of muscle-invasive progression, cystectomy-free survival, pathologic staging, overall survival, and safety. Durability of CR will be followed up to month 36 (assessed quarterly for the first 24 months); all other secondary endpoints will be assessed up to and including month 36. Exploratory endpoints include changes in expression of potential biomarkers in blood and urine. Results from this investigational, randomized, multicenter, open-label study evaluating the safety and efficacy of nadofaragene firadenovec alone or in combination with chemotherapy or immunotherapy are expected July 2028. Clinical trial information: NCT06545955 .

Insight into the principles and advanced construction strategies of nanoprobe based multi-targets sensing in food safety.

Insight into the principles and advanced construction strategies of nanoprobe based multi-targets sensing in food safety.

Preliminary Evaluation of Experiential Learning–Based Fall and Medication Error Prevention Education (EFMPE) using a Virtual Reality Room of Errors program: A Randomized Controlled Trial

Purpose: Falls and medication errors are the most common patient safety incidents globally. Kolb’s experiential learning theory supports the application of cognitive learning in clinical settings. This study examined the effectiveness of Experiential Learning–Based Fall and Medication Error Prevention Education (EFMPE), utilizing virtual reality and room of errors. Methods: A randomized controlled trial was conducted with 28 fourth-year nursing students (15 experimental, 13 control). The experimental group participated in EFMPE from February 1 to 6, 2024, comprising six sessions of 2 hours each. The control group received traditional lectures. Safety control confidence and course interest were measured before and immediately after the intervention; safety control confidence was reassessed 6 weeks later. Results: Both groups showed immediate improvement; however, only the experimental group sustained increased safety control confidence after 6 weeks (Wald χ²=13.21, p<.001). Course interest was significantly higher in the experimental group post-intervention (Wald χ²=10.64, p=.001). Conclusion: These preliminary findings suggest that EFMPE potentially supports the prevention of falls and medication errors in clinical practice.

Natural Language Processing for Aviation Safety: Predicting Injury Levels from Incident Reports in Australia

This study investigates the application of advanced deep learning models for the classification of aviation safety incidents, focusing on four models: Simple Recurrent Neural Network (sRNN), Gated Recurrent Unit (GRU), Bidirectional Long Short-Term Memory (BLSTM), and DistilBERT. The models were evaluated based on key performance metrics, including accuracy, precision, recall, and F1-score. DistilBERT achieved perfect performance with an accuracy of 1.00 across all metrics, while BLSTM demonstrated the highest performance among the deep learning models, with an accuracy of 0.9896, followed by GRU (0.9893) and sRNN (0.9887). Class-wise evaluations revealed that DistilBERT excelled across all injury categories, with BLSTM outperforming the other deep learning models, particularly in detecting fatal injuries, achieving a precision of 0.8684 and an F1-score of 0.7952. The study also addressed the challenges of class imbalance by applying class weighting, although the use of more sophisticated techniques, such as focal loss, is recommended for future work. This research highlights the potential of transformer-based models for aviation safety classification and provides a foundation for future research to improve model interpretability and generalizability across diverse datasets. These findings contribute to the growing body of research on applying deep learning techniques to aviation safety and underscore opportunities for further exploration.

Tailoring Safety Practices for AI Innovation: A Model for Nigeria’s Socioeconomic Context

Artificial Intelligence (AI) is rapidly transforming industries and societies worldwide. However, its adoption in Nigeria poses unique challenges and opportunities due to the country’s socioeconomic context. This paper explores the development of safety practices tailored to Nigeria’s distinctive characteristics. A quantitative method was used. A questionnaire was first used to understand the awareness, implementation and challenges of using Artificial Intelligence (AI) safely in a work environment. A Comparative Framework Analysis examining successful AI safety models from other regions was then conducted to extract adaptable strategies. The results suggest that while there is significant awareness and adoption of AI safety practices, there are still notable challenges, particularly in the areas of resources, training, and implementation. The high prevalence of AI-related safety incidents and the lack of confidence in organizations' abilities to handle these risks point to gaps in the existing safety frameworks. A framework with multidisciplinary approach to AI safety in Nigeria was then proposed. It offers a promising solution by integrating technical, regulatory, and sociocultural perspectives. It is recommended that efforts should focus on improving awareness, enhancing training programs, and ensuring that AI safety guidelines are both accessible and adaptable to local contexts.

Folinic Acid Prophylaxis and Dose Adjustments Enable Safe Treatment with Pemetrexed in Patients with Renal Impairment.

Pemetrexed is a cornerstone in chemo(immunotherapy) of non-small cell lung cancer and mesothelioma; however, it is contraindicated in patients with renal impairment due to severe toxicity concerns. Therefore, a large proportion of patients is withheld from effective chemo(immunotherapy). We performed an intra-patient 3 + 3 dose escalation renal impairment study (eGFR < 45 mL/min). The pemetrexed dose was calculated based on renal function to reach a target AUC, and patients received oral folinic acid prophylaxis 45 mg four times daily on Days 2-15 of each cycle. Endpoints included safety (incidence of hematological and non-hematological toxicity, treatment delays) and pharmacokinetics in line with regulatory guidance for renal impairment trials. Six patients with an estimated glomerular filtration rate (eGFR) between 26 and 41 mL/min were included. All patients were successfully escalated to the full dose. Adverse event patterns and pharmacokinetics were comparable to those in patients with normal renal function. Grade I/II anemia occurred in five patients (already present at baseline). One occurrence of grade IV neutropenia was observed, which resolved without intervention. Moreover, in three patients, a 1-week treatment delay occurred. Treatment resulted in a response in four patients (n = 1 complete response, n = 2 partial response, n = 1 stable disease). Pemetrexed can be safely administered in patients with impaired renal function when the dose is calculated based on renal function and folinic acid prophylaxis is administered, thereby enabling an effective treatment modality for patients that, thus far, could not be treated.

Managing Safety Accidents in Railway Stations using Topic Modeling and Predictive Analysis

Abstract Railway stations are high-density areas where safety is a prime concern due to frequent operational risks, infrastructure limitations, and increasing passenger load. This paper proposes a machine learning-based system using Natural Language Processing (NLP) and topic modeling to analyze and predict safety incidents. Accident reports from the UK RSSB dataset are preprocessed and analyzed using Latent Dirichlet Allocation (LDA) to extract hidden topics and patterns. Additionally, classifiers such as CatBoost and Voting Classifier are trained on the transformed data to predict accident types. Our proposed system enables risk identification, real-time analysis, and visualization for railway safety management. Results show high accuracy and demonstrate the potential of AI-enhanced decision support in public safety infrastructure. Keywords: Railway Safety, Accident Prediction, Topic Modeling, LDA, NLP, CatBoost, Machine Learning

Experiment and Simulation on the Influence of Fire Radiation on the Evaporation of Liquefied Natural Gas

With the introduction of the “dual carbon” strategy, public attention to green energy has surged, leading to a notable increase in the demand for natural gas. Consequently, the storage and transportation of liquefied natural gas (LNG) have emerged as critical aspects to ensure its safe and cost-effective utilization. For onshore LNG storage, LNG storage tanks play a pivotal role. However, in extreme scenarios such as fires, these tanks may be exposed to radiant heat, which not only jeopardizes their structural integrity but could also result in LNG leaks, triggering severe safety incidents and environmental disasters. Against this backdrop, this study delves into the evaporation characteristics of large-scale LNG storage tanks under fire radiation conditions. Given the unique properties of LNG and the similarity between the bubble-point lines and heat exchange curves of nitrogen and LNG, liquid nitrogen is employed as a substitute for LNG in experimental investigations to observe evaporation behaviors. Furthermore, the FLUENT 2022R1 software is utilized to conduct numerical simulations on a 160,000-cubic-meter LNG storage tank, aiming to model the intricate process of internal evaporation and the impact of environmental factors. The findings of this research aim to furnish a scientific basis for enhancing the storage safety of large-scale LNG storage tanks.

How public discourse functions to restore moral orders

Abstract Previous research has extensively examined corporate apologies as webcare in public settings. However, it has paid less attention to apologies made directly to the public despite their potential to evoke responses that reflect social expectations. This study examines corporate public apology strategies and social media users’ follow-up comments, specifically focusing on impolite comments and their underlying rationale. The findings reveal that, despite employing various apology strategies in response to food safety incidents, corporations continue to receive criticism and impolite comments online. These comments frequently reference the moral value of 良心 liángxīn ‘conscience’, which serves as a moral ground for public criticism. Specifically, these comments highlight a set of moral expectations constituting liángxīn: being responsible, being honest, avoiding being profit-centric, and caring for customers. Such impolite comments function as a rite of moral aggression aimed at reaffirming and restoring moral orders. This study enriches our understanding of public responses to corporate apologies and underscores the role of online criticism in shaping societal norms.

Insights from meta-analyses of incidents

Across the world, process safety incidents continue to occur at an unacceptably high rate. This paper explores the application of bowtie and AcciMap analyses to perform meta-analyses of these incidents. Bowties are used to investigate what insights can be derived about causes, consequences and barrier performance. AcciMap analysis is used to investigate what insights can be derived about organisational contributions to barrier performance during incidents. Based on the findings from these analyses, recommendations are made about future directions to develop more timely and effective learning from incident systems.

Description of Patient Safety Culture Based on AHRQ Method in Employees of St.Madyang Hospital, Palopo City

Patient safety is a primary concern as it has now emerged as an international challenge confronting the healthcare system in hospitals. Patient safety is intimately tied to the incidence of Patient Safety Incidents within hospitals. The initial step in a hospital's patient safety initiative is to cultivate a culture of patient safety or to enhance awareness among all staff regarding the significance of safety values in hospitals. This research was conducted to evaluate the patient safety culture of all employees at St. Madyang Hospital, Palopo City in 2024. The measurement in this study that based on AHRQ (2019) version 2.0 method from the side of hospital staff can be measured through 10 dimensions, where categories of patient safety culture are grouped into three categories consisting of weak culture, medium culture, and strong culture. The results of the study showed a positive response of 68% or included in the category of Medium Safety Culture. The highest patient safety culture, which is 91%, is achieved in the Communication About Errors dimension. While the lowest cultural achievement is in the Number of Error Reports dimension, which is 33%. It is essential to motivation employees regarding the reporting of incidents in the hospital, as consistent reporting can subsequently facilitate easy access and safety in reporting, aimed at promoting safety and guaranteeing that health services will avert accidents or injuries in the future.

Close-to-Bedside Magnetic Resonance Imaging in the Neurocritical Care Unit: Descriptive Observational Study Exploring Patient Safety of a Novel Patient Transportation Method.

Unstable patients in the neurocritical care unit (NCCU) need repeated diagnostic imaging. Intrahospital transports of such patients is hazardous where even small changes in physiology may lead to secondary brain injury. In this study we describe the workflow, safety aspects and reflect on our initial experience of close-to-bedside magnetic resonance (MR) imaging in the NCCU. A descriptive observational study was conducted to assess the safety of the transportation method and potential physiological changes associated with it. Eligible patients referred for MR imaging while in critical care at the NCCU between December 2021 and April 2022 were included. Physiological variables, including mean arterial pressure, heart rate, oxygen saturation, and fraction of inspired oxygen, were documented by critical care nurses before patient transfer, midway through MR scanning, and upon return to the NCCU bed. The suite's setup, including equipment and staffing, is detailed. Patient preparation and transportation procedures are described, emphasizing safety protocols. No main detrimental physiological changes occurred in patients undergoing close-to-bedside MR scanning included in our study (n=45). No hazardous safety incidents occurred during the conduction of this study using this transportation approach. The concept of close-to-bedside MR imaging in the NCCU appears safe and minimizes numerous risks associated with intrahospital transports of unstable patients in neurocritical care. Safe access to repeated MR scanning of NCCU patients enables us to further advance the field of neurocritical care.

Systems Thinking in Mental Health Patient Safety: A Narrative Review of Complex Adaptive Systems.

Despite the growth of knowledge and interest into safety and quality in healthcare more generally, the exploration in mental healthcare has been deemed to be in a narrow isolated 'world of its own'. It is possible that relatively little attention is being paid to the processes and interdependencies within the mental health patient safety system. This may result in simplistic static measures of what the system/organisation has, not what it does (or doesn't do). This can limit the potential for learning and affecting change. To investigate systems thinking in mental health patient safety, we conducted a narrative review into the extent of evidence streams supporting systems and complexity thinking approaches. We sourced a total of 89 reports for analysis with six themes identified. These themes included studies evaluating patient safety events that have occurred within mental healthcare, research that has investigated components of the safety system, and studies that have investigated how patient safety incidents are responded to, investigated, and learned from. The review evaluated the use of systems thinking and complexity research in patient safety, and research encapsulating patient and carer involvement. Most research has focused on the analysis of historic approaches to incident investigation and on system-based factors of patient safety, with little attention being paid to systems and complexity thinking approaches. The relationships between components were often ignored in the non-systemic studies sourced, with relationships between components not investigated and unknown. With policymakers recommending changes in patient safety practice through system-based approaches, it is important that its implementation is evaluated robustly with consideration of the multiple levels of the healthcare system. Future research should aim to incorporate systems-thinking approaches to model the safety system, and to improve our understanding of the highly interconnected technical and social entities that dynamically produce emergent behaviour across the system.

Prediction of Network Public Opinion Evolution Trends in Emergent Hot Events

ABSTRACTIn recent years, there has been a notable increase in food safety incidents, which has raised considerable public concern. Optimizing food safety supervision and enhancing public trust have become urgent issues to be addressed. This study specifically examines the “tanker mixed with edible oil” incident and employs a variety of methodologies, including text analysis and time series modeling, to conduct a comprehensive analysis of public sentiment, The findings provide a scientific foundation for enhancing regulatory oversight. Relevant data were gathered via Python, public opinion trends were forecast via the ARIMA time series model, and an in‐depth analysis of the thematic characteristics associated with each phase of public opinion development was conducted by integrating LDA topic modeling techniques. Meanwhile, this study employs social network analysis to construct an interactive network among users and identify key nodes and pathways involved in the dissemination of public opinion. Through simulation analysis, the following conclusions are drawn: (1) The “tanker mixed with cooking oil” incident exhibited a pronounced trend of negative sentiment that intensified over time. (2) The thematic analysis reveals public concern regarding disarray in food transportation and insufficient regulatory oversight, highlighting a shift in the public's focus. (3) Social network analysis emphasizes the crucial roles played by official media and individual key opinion leaders (KOLs) in shaping public opinion, illustrating how these entities influence the direction of public sentiment through their interactive relationships. Through the empirical analysis of the “tanker mixed with edible oil” incident, this paper verifies the effectiveness of the adopted method, providing an important reference for the risk prevention and control of food safety public opinion and policy‐making.

The current situation and associated factors of the psychological capital of nurses’ second victims in China: a cross-sectional study

BackgroundThe level of psychological capital of nurses’ second victims is critical to alleviate their negative experience after a safety incident. The purpose of this study is to understand the current status of psychological capital and associated factors of nurses after experiencing patient safety incidents.MethodsIn May 2024, an online survey was conducted on nurses from 2 tertiary hospitals and 2 secondary hospitals in Shanxi Province who had experienced patient safety incidents in the past year using the General Information Questionnaire, the Patient Safety Incident Characteristics Questionnaire, and the Nurses’ Psychological Capital Questionnaire, and finally 456 nurses filled out the questionnaire.ResultsA total of 423 valid questionnaires were collected, and the recovery rate of valid questionnaires was 92.76%. The total score of psychological capital of the nurses’ second victims was (89.13 ± 14.86), and the results of multiple linear regression showed that hospital level, department, the type of patient safety incident, the level of patient safety incident, and whether or not they were supported were independent associated factors of the psychological capital of the second victims (P < 0.05), which could explain 21.00% of the total variation.ConclusionThe psychological capital of the nurses’ second victims was at a medium level. At the hospital level, the focus should be on nurses in tertiary hospitals. At the department level, the focus should be on the nurses in the oncology department. From the level of patient safety incidents, we should focus on the nurses with high event level and drug administration errors, and provide timely intervention support after the incident, so as to improve the psychological capital level of the second victims.Clinical trial numberNot applicable.

Analisis Semangat Kerja dan Kepuasan Kerja Perawat Terhadap Penerapan Patient Safety dan Pelaporan Insiden Keselamatan Pasien di RS Fitri Candra Wonogiri

This study aims to analyze the influence of work spirit and job satisfaction among nurses on the implementation of patient safety and the reporting of patient safety incidents at RS Fitri Candra Wonogiri. Using a quantitative research method with a descriptive approach, data were collected through a Likert-scale questionnaire distributed to 80 active nurses through total sampling. Statistical analysis, including path analysis, was performed to evaluate the direct and indirect effects of the variables. The results showed that work spirit and job satisfaction significantly influenced the implementation of patient safety (Adjusted R² = 0.884, p &lt; 0.001). Furthermore, work spirit, job satisfaction, and the implementation of patient safety significantly affected the reporting of patient safety incidents (Adjusted R² = 0.917, p &lt; 0.001). The findings highlight the importance of fostering work spirit and job satisfaction to enhance the implementation of patient safety protocols and promote transparency in incident reporting. This study provides recommendations for developing strategies to improve patient safety outcomes in healthcare facilities.

How Were Patient Safety Incidents Responded to, Investigated, and Learned From Within the English National Health Service Before the Implementation of the Patient Safety Incident Response Framework? A Rapid Review.

To understand how National Health Service organizations routinely responded to, investigated, and learned from patient safety incidents in England before the implementation of the Patient Safety Incident Response Framework, and to identify associated success criteria and barriers. We followed rapid review methodology and searched 2 electronic databases. We aimed to identify and synthesize literature regarding patient safety incident response, investigation, and learning within the English National Health Service, before the implementation of the Patient Safety Incident Response Framework. Nineteen articles were included. A narrative synthesis generated 4 concepts: (1) a multifaceted reporting culture, (2) investigation processes, (3) the landscape of support and involvement, and (4) opportunities to learn. Barriers to incident reporting included time, task characteristics, a culture of blame, and lack of feedback. Root cause analysis was cited as the most common investigation method. Studies outlined points of support and involvement for patients and families, the importance of supporting and involving patients and families, and acknowledged contributions from patients and families may be overlooked currently. For health care staff, the need for timely and personalized support soon after an incident was emphasized. Studies underlined the limitations of current approaches to learning and improvement. These findings lend support to the challenges associated with health care systems' infrastructures and strategies for responding to and learning from patient safety incidents. These challenges centre on 2 interrelated issues: the investigative challenges of rigorously conducting systems analysis and learning-oriented improvement; and the relational challenges of supporting genuine relationships of care, open and honest communication, and supportive engagement after patient safety incidents.

From Industry to Education

Operator Training Simulators (OTS) are commonplace in the chemical engineering industry but often underutilized in universities (Patle et al., 2019). Like a ‘flight simulator’ for engineers, they are ‘digital twins’ of real plants, that can run many safety scenarios. In tertiary education OTS offer scalable, active learning environments and authentic assessment, particularly when integrated with Generative AI (GenAI). Our pedagogical design is scaffolded through UTAUT2 (Unified Theory of Acceptance and Use of Technology), offering immersive, industry-aligned, practice-based engineering educational design (Honig et al., 2025), something that is often difficult to do in conventional classroom teaching (Honig et al., 2024). Within the ASE core themes, this presentation on OTS integration will focus on technology-enhanced learning and authentic assessment. It will draw on learnings from the integration of GenAI into the OTS software: while most people think of interacting with GenAI through text-interfaces (like ChatGPT) here students can interact through the game-interface itself (for example opening a valve or if an alarm trips, the GPT ‘knows’ and can automatically respond). In response to remote learning challenges presented during COVID-19 lockdowns (Honig et al., 2022), a modified industry-grade OTS (TSC Simulation) was embedded into undergraduate subjects. The simulator, originally designed for professional operator training, was adapted to educational needs by including assessment-focused scenarios and then augmented with a GPT-powered AI teaching assistant. Over four years, it has been used in both second- and third-year core Chemical Engineering subjects, providing students with a unique opportunity to interact with digital twins, analyze process safety incidents, and apply critical thinking in real-time problem-solving. Using a Design-Based Research framework, the initiative evolved through iterative cycles of student use, feedback, and redesign. Mixed methods evaluation involved pre- and post-use surveys grounded in the UTAUT framework, performance data from quizzes and assignments, and qualitative student feedback. The integration of GenAI was evaluated for usability, performance expectancy, and impact on learning outcomes. Students’ comprehension of safety concepts was compared across user groups—with and without chatbot access—using assessments and reflective discussions. Across cohorts, the OTS was rated highly for its realism and performance benefits, with a Likert average of 4.32 (out of 5) on performance expectancy. The GenAI chatbot, acting as a plant supervisor, facilitated guided root-cause analyses and reflection. Within a limited sample size, students with access to the AI assistant indicated higher quiz performance (67%) than those without (59%). However, effort expectancy for the OTS rated lower, highlighting the complexity of adapting industry-grade software to educational contexts. Improvements were made by redesigning activities to fall within students’ Zones of Proximal Development, particularly when supported with new GPT-based adaptive learning assistants, utilizing an agent structure. This initiative offers a replicable model for incorporating industry technologies and GenAI into curriculum-aligned, scalable assessment formats. It demonstrates how immersive learning tools can address gaps in traditional practicals, support student autonomy, and align with ASE’s call for flexible, digitally enhanced, and inclusive educational experiences. We will share initial learnings. Significant broader outcomes have also emerged from the work: as well integrating GPTs into simulators as AI-assistants for education, GPTs can similarly be integrated into real plants as AI-engineers for process control. The presentation will outline opportunities for GenAI integration into tertiary education, with a specific focus on integration into simulation based learning itself (as opposed to interaction through a chat interface). The presentation will have an interactive component allowing participants to build a customized chatbot through a purpose built interface for the conference presentation. References Honig, C., Rios, S., &amp; Desu, A. (2025). Generative AI in engineering education: understanding acceptance and use of new GPT teaching tools within a UTAUT framework. Australasian Journal of Engineering Education, 1-13. Honig, C. D., Desu, A., &amp; Franklin, J. (2024). GenAI in the classroom: Customized GPT roleplay for process safety education. Education for Chemical Engineers, 49, 55-66. Honig, C. D., Sutton, C. C., &amp; Bacal, D. M. (2022). Off-campus but hands-on: Mail out practicals with synchronous online activities during COVID-19. Education for Chemical Engineers, 39, 84-93. Patle, D. S., Manca, D., Nazir, S., &amp; Sharma, S. (2019). Operator training simulators in virtual reality environment for process operators: a review. Virtual Reality, 23, 293-311.