NURS FPX 6112 Assessment 4 Implementation Plan for a New Simulation Product
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Capella University
NURS-FPX6112 Technology Integration for Nursing Education
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Slide 1:
Implementation Plan for a New Simulation Product
Hello everyone, my name is _________. The presentation discusses the Sentinel U, an online simulation model that is aimed at enhancing clinical reasoning of nursing students in the fields of physical examination, pharmacology, and pathophysiology. The proposal suggests a needs assessment, which reveals the current educational shortcomings, outlines a gradual integration strategy during the basic courses, and outlines objective outcome indicators. According to evidence-based research, the presentation aims at increasing student competence and confidence using standardized virtual patient vignettes. The Sentinel U will improve nursing education by complementing the existing methods of clinical training on a large scale.
Slide 2
Overview of the Technology
Sentinel U is a new web-based simulation platform whose goal is to help nursing education progress to include immersive virtual patient scenarios that mimic real-life clinical practice. The technology integrates the key fields of nursing practice, which include physical assessment, pharmacology, and pathophysiology, into vivid, interactive case studies that promote clinical thinking and decision-making. The virtual patients allow students to work with a patient, take health histories, interpret symptoms, read diagnostic data, and select the necessary interventions in a risk-free setting (Ahn and Jeong, 2025).
The platform can be used to self-direct learning, and it offers immediate feedback, thus the learner can observe the outcomes of the decision-making process and can gradually become more effective with regard to clinical judgment. Sentinel U can particularly be very helpful during preclinical and the first stage of clinical rotations, when the students are systematically exposed to complex patient conditions, prior to exposure to real patients.
The learning content of the simulation includes a variety of medical-surgical, pediatric, maternal-child, and mental health cases. In one instance, students can be given a virtual patient who reports hypertension and peripheral neuropathy and asked to evaluate the trends of blood pressure, analyze the neurological symptoms, and decide whether the medications should be changed in accordance with the pharmacological principles. Sentinel U modules, such as Fundamentals of Nursing, Advanced Health Assessment, and Pharmacology for Nurses, can be directly applied to the theoretical knowledge to facilitate its practical implementation, as the studies of Best et al. (2021) prove. It is cloud-based and can be incorporated into a hybrid or fully online curriculum, and thus is flexible in academic programs, as well as in clinical training settings.
Slide 3
Addressing the Educational Gap
A recent needs analysis revealed a critical issue of lack of confidence among nursing students in using theoretical knowledge in clinical decision making in pathophysiology, physical assessment, and pharmacology. Many students struggle to identify the disease processes with relevant interventions because they have limited access to practice experiences and unpredictable clinical placements (Panda et al., 2021). Besides, teachers mention the challenge of providing customized feedback on high-fidelity manikin simulations due to resource and time constraints. Sentinel U fills this gap by offering scalable, repeatable, and standard virtual experiences to allow students to practice clinical reasoning in safety without involving the use of physical simulation laboratories or access to clinical sites.
The incorporation of Sentinel U in the curriculum exposes the students to a constant exposure to an array of patient cases that require the incorporation of physical findings, understanding of underlying pathophysiology, and safe pharmacologic management. An example is when a student is asked to treat a virtual diabetic patient with ketoacidosis by interpreting laboratory results, recognizing respiratory compensations, and calculating the dose of insulin, all of which should be done taking into account comorbidities and drug interactions (Mahou et al., 2023). Such a level of intellectual work strengthens the connection between the classroom theory and clinical practice to equip the students with competence and confidence prior to real-world patient care.
Slide 4
Needs Assessment
The needs assessment that was conducted by surveys, focus groups, and analysis of performance data of 120 nursing students and 15 of the staff members identified a variety of significant problems in current teaching practice. Over two-thirds of the students said they were poorly equipped to perform detailed physical examinations independently, but 65% said they had a problem with generalizing pharmacological concepts to evolving patient situations. Faculty stated that the high-fidelity manikin training, even though beneficial, could not be extended beyond one session per semester for each student due to equipment and staffing shortages, which aligns with the results of Abulfaraj et al. (2021).
Besides, 70 percent of the teachers observed that students often entered clinical rotations with poor clinical reasoning abilities, which culminated in increased anxiety and poorer learning. The analysis of course outcomes also showed low scores in terms of examination in pathophysiology integration (average of 72) and drug application (average of 68) compared to the knowledge learned previously (average of 85). These findings lead to the understanding that there exists a disparity between theory and practice, and the reason is that more direct, reliable, and engaging educational resources have the potential to support higher-order thinking ability.
Slide 5
Necessity and Potential Impact of Sentinel U
Sentinel U is implemented directly as a response to these gaps discovered since it is a pliable, evidence-based intervention that enhances accessibility and repetition in the practice of clinical decision-making. As opposed to the high-fidelity manikins, which require significant infrastructure and manpower, Sentinel U can be remotely accessed, which allows learners to receive simulations when they have the time and repeat the simulation on numerous occasions (Abulfaraj et al., 2021). This high exposure accumulates a lot of knowledge regarding the development of disease, effects of medications, and indicators of evaluation, which are critical with regard to safe patient care.
The potential impact is the heightened student preparedness to clinical rotations, improved critical thinking, and improved assimilation of inter-professional knowledge. Anecdotal results and empirical research also prove the efficacy of virtual simulations in developing knowledge, memory, and clinical judgment. A study carried out by Salacinska et al. (2025) showed a higher diagnostic accuracy rate in students who received virtual simulations as opposed to students who attended only traditional lectures. With Sentinel U, the curriculum can standardize the learning process, reduce the range of variability on the clinical preparedness levels, and also ensure that all students have completed the core competencies before they move to the high-stakes clinical environments.
Slide 6
Integration Strategy
To integrate Sentinel U into the existing nursing classes in a smooth fashion, a progressive approach shall be implemented in three key courses, including Fundamentals of Nursing, Pathophysiology for Practicing Nurses, and Pharmacology and Therapeutics. The courses will consist of two to three obligatory Sentinel U modules associated with weekly learning objectives. In Pathophysiology, as an example, one of the simulations will be the simulation of heart failure, where the students will have to understand the changes in the vital signs, the compensatory processes, and predict potential complications. These modules will be used by faculty as pre-clinical preparation or as post-lecture reinforcement and will be consistent with didactic content.
The Learning Management System (LMS) of the institution will facilitate the integration process, and the teachers will be able to track the performance of the students, access the performance analytics, and assign students’ grades based on the fulfilment of checklists and their correct decisions as determined in the study by Oguguo et al. (2020). The teacher dashboard of Sentinel U enables live tracking and identification of common errors to ensure that the necessary changes are made on time. The interprofessional collaboration that will be ensured by the nursing instructors and simulation laboratory coordinators will offer consistency in the learning outcomes of both the virtual and hands-on learning methods.
Slide 7
Staff Training and User Preparation
The Sentinel U training team will take all nursing instructors and simulation personnel through a two-week orientation program prior to roll-out. It implies live webinars, the presence of a special support portal, and practice based on pilot cases. The employees will be trained to assign scenarios, student performance reports, and debrief after simulation outcomes. It will use a train-the-trainer methodology to train the lead instructors who will subsequently train their colleagues within their respective departments (Wisshak et al. 2025).
During the orientation week, students will receive orientation, a tutorial video, a guided tour of a simple simulation, and a practice module, which will have no grades or punishments. They will have technical support staff to assist them with any issues related to the inability to log in or compatibility with devices. In the case of access equity, there will be the provision of loaner laptops and wireless hotspots to those students who lack access to reliable technology, based on the ADA conformity and digital inclusion requirements.
Slide 8
Benefits and Enhancements
Sentinel U enhances the competence of students in physical examination, pathophysiology, and pharmacology by putting them in real situations of making decisions. Physical examination: In physical examination, the learners are trained to prioritise findings such as the presence of crackles during the lung auscultation in a fictional case of pneumonia, and correlate them with patient history and laboratory results (Kinyon et al., 2021). Even though there is no haptic feedback, the mental data interpretation and hypothesis formation process are strictly defined. To pathophysiology, the system visualizes disease progression, hence the students will visualize, e.g., how high blood pressure, when uncontrolled, causes end-organ damage as time goes by, and how this supports long-term care concerns.
In the case of pharmacology, Sentinel U enables the student to handle medication regimens in a contextual manner. The purpose of a clinical case of a patient on warfarin whose INR keeps rising is to make a decision concerning the risk of bleeding, the reversal agents, and the process of informing the health team, all in a scaffolded format. This fosters the knowledge of drugs but also clinical priority and safety awareness. The cause-and-effect nature of the platform helps in integrating these three aspects, which prepares students to make evidence-based and whole-system decisions.
Slide 9
Evidence-Based Support and Case Studies
Several pieces of literature affirm the effectiveness of virtual simulations like Sentinel U in improving learning outcomes. In line with the findings of the study conducted by Burnett and Goldhaber-Fiebert (2024), virtual simulation-trained students were found to have pharmacology examination scores 30 percent higher than the control groups. Equally, Cant and Ryan (2022) developed the notion that the use of virtual simulation improved one-quarter gains in the accuracy of diagnostic reasoning among undergraduate nursing students.
In a comparative study, Salacinska et al. (2025) reported a higher rate of critical thinking tests in people using virtual simulation in contrast to those using only traditional methods, particularly, they indicated gentle changes in patient status. One case study had a student initially misdiagnosing sepsis with dehydration in one virtual case, but after immediate feedback and facilitated reflection, the student correctly identified systemic inflammatory response in subsequent cases. This is an iterative process of learning, which shows how Sentinel U fosters metacognition and self-correction as essential skills of safe clinical practice.
Slide 10
Evaluation Metrics
Sentinel U integration will be evaluated using a multi-method evaluation to determine its success. Student performance during simulation using simulation-specific checklists, pre- and post-simulation quizzes, and faculty ratings of clinical judgment in debriefing are considered short-term measures. The analytics platform of the LMS and Sentinel U will track the rates of completion, time of the individual module, error patterns, and decision accuracy. Surveys of perceived usefulness, confidence, and satisfaction based on the 5-point Likert scale will be used to measure student engagement (Buntins et al., 2021). The performance of the long-term will be assessed by the benchmark comparison of NCLEX-type examination performance, evaluation scores of the rotations, and pass rates at the OSCEs (Objective Structured Clinical Examinations). The students of the comparison group (pre-implementation) of the previous academic year will serve as the basis of evaluation of the clinical reasoning and application improvements.
Slide 11
Remediation and Continuous Improvement
A remediation plan will be developed for those struggling students whose performance on the simulation is poor. Students with a score that is below 75 percent in any of the modules will be required to engage in a guided review with a tutor, rewrite the scenario, and write a reflective journal entry of what they have decided to do differently. The data on students will be analyzed by the staff to identify which common misconceptions, i.e., the influence of beta-blockers in asthma patients, have been made and rectified during small-group remedial workshops. Assessment will be done at the program level after every two years, based on stakeholder input and outcome measures, to revise the choice and sequence of modules. The continuous quality improvement cycle will guarantee that the technology is up-to-date with the accreditation standards and evolving clinical practice.
Slide 12
Budget and Resources
A three-year Sentinel U cost estimate is the cost of the site-wide license of 500 students (18000 dollars), faculty training (3000 dollars), integration of technical support (2000 dollars), and orientation of students (1000 dollars). It will also seek funding for loaner hardware and internet access to needy students (4,000 dollars). The Innovation in Teaching Grant available at the institution will be used with the supplementary funds coming through the annual technology fund of the nursing program. The Office of Academic Affairs will be used to charge the expenses, and quarterly budget reviews will be used to ensure transparency and sustainability.
Slide 13
Timeline
The timeframe of implementation will be from September 2025 to integration in April 2026. Significant milestones are the contracting of vendors in October 2025, training of the faculty in November-December 2025, the orientation of the students in January 2026, the pilot launch in Fundamentals of Nursing in February 2026, the rollout to the rest of the courses in March 2026, and evaluation in April 2026. The possible barriers, such as faculty opposition, technical issues, or student uninvolvement, will be addressed by means of an initial involvement of champions, robust IT assistance, and incentives to participate, as Price and Regehr (2022) study. Stakeholders will be kept informed of the progress through continual updates to maintain excitement and responsibility.
Slide 14
Conclusion
Implementing Sentinel U online simulation in the nursing education process is a progressive move towards preparing the students to embrace the dynamics of modern-day patient care. By sealing the lapses in clinical thinking, physical examination, and pharmacology, this technology fills the cognitive and decision-making capabilities in an accessible and scaled format. Supported by evidence-based outcomes and a documented implementation plan, Sentinel U is an addition to the existing high-fidelity simulators and improves the learning experience overall. The implementation will ensure that the graduates of nursing are not only knowledgeable but also confident and competent in applying their knowledge to real clinical issues.
Slide 15
Q&A
Q: How does Sentinel U compare to high-fidelity manikins in teaching physical assessment?
Q: What if students lack reliable internet or devices?
Q: Can Sentinel U be used for remediation?
Q: How will faculty workload be managed with added simulation assignments?
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References For
NURS FPX 6112 Assessment 4
Abulfaraj, M. M., Jeffers, J. M., Tackett, S., & Chang, T. (2021). Virtual reality vs. High-fidelity mannequin-based simulation: A pilot randomized trial evaluating learner performance. Cureus, 13(8). https://doi.org/10.7759/cureus.17091
Ahn, S., & Jeong, H. W. (2025). Exploring nursing students’ experiences with virtual patient-based health assessment simulation program: A qualitative study. Nurse Education Today, 153(15). https://doi.org/10.1016/j.nedt.2025.106826
Best, J. T., Buttriss, G., & Hines, A. (2021). Pathophysiology, physical assessment, and pharmacology. Google Books. https://books.google.com.pk/books?hl=en&lr=&id=I2JUEAAAQBAJ&oi=fnd&pg=PT18&dq=Courses+such+as+Fundamentals+of+Nursing
Buntins, K., Kerres, M., & Heinemann, A. (2021). A scoping review of research instruments for measuring student engagement: In need of convergence. International Journal of Educational Research Open, 2-2. https://doi.org/10.1016/j.ijedro.2021.100099
Burnett, G. W., & Fiebert, S. N. G. (2024). The role of simulation training in patients’ safety in anaesthesia and perioperative medicine. BJA Education, 24(1), 7–12. https://doi.org/10.1016/j.bjae.2023.10.002
Cant, R., & Ryan, C. (2022). An educator’s anthology of virtual simulation applications for nursing curricula: A mapping review. Clinical Simulation in Nursing, 13(6). https://doi.org/10.1016/j.ecns.2022.08.007
NURS FPX 6112 Assessment 4 Implementation Plan for a New Simulation Product
Kinyon, K., D’Alton, S., Poston, K., & Navarrete, S. (2021). Improving physical assessment and clinical judgment skills without increasing content in a prelicensure nursing health assessment course. Nursing Reports, 11(3), 600–607. https://doi.org/10.3390/nursrep11030057
Mahou, F., Elamari, S., Sulaiman, A. A., Bouaddi, O., Changuiti, O., Mouhaoui, M., & Khattabi, A. (2023). Teaching nursing management of diabetic ketoacidosis: A description of the development of a virtual patient simulation. Advances in Simulation, 8(1). https://doi.org/10.1186/s41077-022-00241-0
Oguguo, B. C. E., Nannim, F. A., Agah, J. J., Ugwuanyi, C. S., Ene, C. U., & Nzeadibe, A. C. (2020). Effect of learning management system on students’ performance in educational measurement and evaluation. Education and Information Technologies, 26(2), 1471–1483. https://doi.org/10.1007/s10639-020-10318-w
Panda, S., Dash, M., John, J., Rath, K., Debata, A., Swain, D., Mohanty, K., & Eustace-Cook, J. (2021). Challenges Faced by student nurses and midwives in clinical learning environment – A systematic review and meta-synthesis. Nurse Education Today, 101(104875). https://doi.org/10.1016/j.nedt.2021.104875
Price, I., & Regehr, G. (2022). Barriers or costs? Understanding faculty resistance to curricular change. Canadian Medical Education Journal, 15(7). https://doi.org/10.36834/cmej.74041
Sałacińska, I., Trojnar, P., Gebriné, K. É., Törő, V., Sárváry, A., & Więch, P. (2025). A comparative study of traditional high-fidelity (manikin-based) simulation and virtual high-fidelity simulations concerning their effectiveness and perception. Frontiers in Medicine, 12. https://doi.org/10.3389/fmed.2025.1523768
Wisshak, S., Schäfer, P., & Waveren, L. van. (2025). Train‐The‐Trainer: A generic offer‐and‐use model for the development of trainers. International Journal of Training and Development, 16. https://doi.org/10.1111/ijtd.12370
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