
Student name
Capella University FPX 6112
Professor Name
Submission Date
Evaluation of a Virtual Simulation Scenario
The Sentinel U Simulation platform uses interactive virtual simulations to strengthen the clinical judgment and critical thinking of nursing students. The case study Lila Herzog tells the story of a 27-week pregnant patient who is experiencing chronic fatigue, lightheadedness, and pica with a craving for ice in the context of a high-risk pregnancy and hypothyroidism. This presents the learner with a variety of challenges, including performing a complete assessment, determining the differential causes of fatigue of pregnancy, interpreting lab data, and developing a comprehensive plan of care that encompasses the needs of both the fetus and mother. The simulation places the learner in a real-world outpatient and prenatal clinic. In order to develop an appropriate plan and the most effective intervention, the learner must perform a complete assessment, analyze the patient’s health history, utilize interpretive diagnostic and pharmacological skills, and teach the patient about their condition.
Setting and Purpose
This simulation is designed for upper-division undergraduate students enrolled in the maternal-newborn or community health courses, especially those dealing with high-risk pregnancies and chronic disease in pregnancy. The simulated experience lends itself to the development of clinical judgment and desire to practice in a patient-centered, interprofessional manner. The goal of the Lila Herzog simulation is to develop the ability to make an appropriate diagnosis for a complex obstetric case and to develop a plan for that case. The simulation is based on Experiential Learning Theory. This theory posits that learning is the result of a cycle that starts with a concrete experience, moves to reflective observation, proceeds to abstract conceptualization, and concludes with active experimentation. (Green et al., 2025) In this simulation, learners are able to make clinical judgments, order and interpret laboratory data, and assess Lila’s symptoms, all in a safe, active learning environment. This simulation builds QSEN (Quality and Safety Education for Nurses) competencies of care, safety, and the use of research.
Physical Assessment
The Lila Herzog simulation, by design, integrates physical assessment within the clinical process. Thus, students are required to perform an assessment that is both targeted and thorough relative to the chief complaint of fatigue. Although traditional “hands-on” assessment is not possible in this virtual environment, the simulation more than compensates by providing several important objective signs of clinical concern in pregnancy, including, but not limited to, pallor, tachycardia, and postural dizziness. These lead the students to consider cardiovascular, hematologic, and endocrine fatigue and tiredness.
High estimated maternal blood volume (2000 mL) and reduced estimated blood hemoglobin (10 g / dL), indicating tachycardia as a major clinical vital sign, can help develop clinical suspicion for anemia, a common and underreported condition in pregnancy. The assessment is realistic and detailed. For instance, the triad of pale skin and tachycardia, along with the patient’s description of fatigue and an ice craving (pagophagia), is a classically described case of iron deficiency anemia (IDA). The signs are not comprised of random items but rather woven throughout the case and help the learner integrate rather than memorize. The simulation offers structured prompts to help the learner assess nutrition, sleep, and compliance with treatment. This helps the student develop a broad assessment of the patient (Capella University, 2025). This is an example of best practices. Fatigue and malaise need to be assessed within the greater context of the physiological needs and comorbidities such as hypothyroidism.
The inclusion of physical exam in the simulation helps the learner develop the ability to recognize patterns and make decisions. Students are required to move beyond the manifestation of the symptoms and to go beyond the symptoms to the physiologic driver of that symptom (Cole & Doherty, 2025). For example, understanding that tachycardia is a compensatory mechanism for the body to increase the blood volume in the absence of sufficient oxygen-carrying capacity in anemia helps to strengthen the relationship between the clinical findings and the pathology. This helps students adequately respond to clinical scenarios where anemia is identified and helps avoid preventable complications such as preterm births, low birth weight, and postpartum hemorrhage.
Pharmacological Principle
Pharmacological principles of safety, absorption, and patient-specific issues, including pregnancy, are integrated into the Lila Herzog scenario. Ferrous sulfate is commonly prescribed to treat Iron Deficiency Anemia and is a current and evidence-based practice. It is important that the students understand this medication’s action, the correct dosing, and the expected side effects. The scenario cites the importance of avoiding calcium-containing foods and supplements because they would bind to the iron and inhibit absorption. This is a pharmacokinetic concern that would affect the outcome of the therapy.
The scenario also has the student address the problem of patient compliance. In the patient’s final case plan, the student is instructed to include IV Iron if the patient cannot tolerate ferrous sulfate due to GI distress. This requires some degree of pharmacological sophistication and is an example of the current practice in medicine, which indicates the use of IV Iron when the clinical situation calls for it, and the woman is at an advanced gestational age, and the rate of iron correction needs to be aggressively increased (Numan & Kaluza, 2020). The use of docusate sodium to treat constipation, a common side effect of Iron, also addresses the safety of the chosen pharmacological therapy.
The pharmacological components incorporated in this simulation are evidence-based and practice-safe. No medication that has the potential to harm the pregnant patient or the unborn child is incorporated into this simulation unless there is evidence to prove it is safe to the pregnant patient and child.
For illustration purposes, there is no recommendation of erythropoietin or blood transfusion if there is no indication and the clinical situation is not altered. In line with therapeutic drug monitoring, the practice of hemoglobin, hematocrit, and ferritin level monitoring before and after treatment is recommended. The incorporation of pharmacology into the patient’s lived experience, like GI side effects/food intake, will lead to a more sophisticated practice of the management of medications in this simulation than just the administration of the drugs.
Pathophysiology
The Lila Herzog simulation is a good resource to explore pathophysiology for several reasons, including pregnancy with multiple gestations and nutritional needs. Raizen et al. (2023) state the primary clinical condition, fatigue, is due to the demands of pregnancy depleting iron stores, pro-pregnancy dietary insufficiency, and possible iron depletion from previous pregnancies. The simulation shows how depleted iron stores cause reduced hemoglobin production, resulting in less oxygenation of tissues and leading to fatigue, pallor, and tachycardia. This is consistent with the pathophysiology of IDA and is confirmed by diagnostic data–low hemoglobin (9.6 g/dL) and hematocrit (34%), and extremely low ferritin levels.
The simulation uses the pathophysiology of iron deficiency to help explain the patient’s pagophagia (ice craving) as a symptom, rather than an oddity. Iron deficiency and its symptoms are also explained to be due to cerebral hypoxia or dopamine metabolism. This encourages the learner to think of symptoms in the context of a pathological process rather than thinking of symptoms in isolation. The case also shows how previously existing hypothyroidism can worsen fatigue, as the learner then has to separate symptoms and prioritize the most urgent, treatable condition, iron deficiency anemia.
By focusing on the interaction of chronic conditions and the changes pregnancy introduces, the simulation is able to build insight into patient outcomes. Early diagnosis of IDA has the potential to alleviate the maternal impact of cardiac stress and postpartum anemia and even help mothers avoid infections. IDA also has implications for fetuses and can cause restricted intrauterine fetal growth and impair fetal neurological development. The simulation demonstrates the conversion of pathophysiological principles into clinical wisdom. The value of intervention in time and thorough evaluation of at-risk pregnancies is taught by the simulation.
Integration
Lila Herzog is the ultimate integrative simulation, fusing physical exam, pharmacology, and pathophysiology. These disciplines are overlapping and integrated into a reality-based clinical scenario, requiring the learner to integrate concepts across domains. The physical exam finding of pallor and tachycardia can suggest anemia, but a complete blood count and an iron panel will confirm this. This will dictate a pharmacological response of ferrous sulfate and will necessitate patient education on the enhancers (vitamin C) and inhibitors (calcium) of iron absorption. Another excellent example of integration is the evaluation of pica (Fields et al., 2021). Craving ice is a subjective ingredient of the patient’s admission. Integration with objective data and laboratory findings establishes the diagnosis. The NCSBN Clinical Judgment Measurement Model (NCJMM) is demonstrated in that the student identifies cues, evaluates cues, ranks hypotheses, and then acts, providing the recommendation of the iron treatment. This demonstrates to students the importance that even subtle manifestations of severe pathology affecting at-risk groups (e.g., pregnant women) may not be dismissed due to tolerance to symptoms of fatigue, pica, and pallor.
The direct integration of these components improves patient outcomes in the scenario. Students who associate fatigue, pica, pallor, and lab results can provide timely treatment, which can prevent severe anemia and potential adverse effects of anemia on the fetus (Leung & Hon, 2020). On the other hand, failing to integrate the aforementioned elements leads to poor patient assessments and results in negative feedback, reinforcing the consequences of poor integration. This modern approach to nursing education focuses on international systems and anticipates challenges students will face in the field.
General Observations
The aim of the Lila Herzog simulation is to incorporate maternal-newborn nursing standards that assess and diagnose, and provide education for the risks of pregnancy. In order to teach learners history-taking, assessment, diagnosis, and planning of care, instructions are provided in a logical, progressive manner. The navigation of the simulation is simple and straightforward. The simulation can be completed within 60 to 75 minutes and can be used in a clinical lab or assigned as homework. The simulation’s web browser technology allows for easy access. Stability of the web-based application does not require special software. This technology promotes accessibility.
The simulation provides excellent feedback. Each knowledge check is followed by an evidence-based explanation of the correct or incorrect response. The feedback cites recent literature. An example from the MedlinePlus reference used in the simulation states that calcium affects iron absorption. This is a major concept in the lesson. Detailed feedback is provided for open-ended questions. This feedback promotes learning and identifies the rationales, language, and evidence used. This feedback is aligned with the AACN Essentials and NCLEX Client Needs, and an overall summary of the performance report is provided.
According to the Individual Patient Activity Report provided, the simulation was successfully completed at 100% with a total score of 38/50 (76%) (Capella University, 2025). While the student scored well in most of the skills, synthesizing the pathophysiology with the patient’s case was an area for improvement in the open-ended responses. This simulation is strong in both pedagogical and technical aspects and is valuable in strengthening the participant’s critical thinking skills.
Recommendation
The Lila Herzog simulation serves as a valuable teaching tool for the development of clinical judgment and patient-directed care within the framework of maternal and newborn nursing. Lila Herzog allows learners to test their skills and direct their thoughts into the assessment and management of a complex issue related to fatigue within the context of pregnancy. Herzog’s simulation aligns with Jeffries’ Simulation Framework that emphasizes clinical education, simulation design, and the measurement of the learning outcomes of the engaged learners. The Lila Herzog case exemplifies this by using theory and an experiential learning structure to promote active participation and constructive criticism.
There are multiple published works supporting the use of simulation to improve the clinical reasoning of nursing students. Elendu et al. (2024) claimed that learning through simulation improves clinical skills and patient safety knowledge. The Lila Herzog simulation provides nursing students the ability to learn and practice through low-risk Red Code obstetric scenarios. Due to the emphasis on nursing being evidence-based and closely aligned with patient safety, it is essential that the Sentinel U technology and other similar interactive simulations be incorporated into modern nursing education. Safety and the integration of the competencies of QSEN are the foundations of the Lila Herzog Scenario.
Thus, this simulation will help your students provide the best possible care to the patients.
Conclusion
Lila Herzog’s simulation is a great addition to any modern-day, skill-based curriculum concentrating on maternal health, as it incorporates most of the clinical skills required during training. It provides a safe environment to practice care delivery and promote critical thinking and optimal care for the purpose of the case, and provides timely, valuable feedback. The simulation models nursing students’ competencies and is appropriate at this level of training. Later iterations could enhance cultural clarity and team-based practice (e.g., dietitian, hematologist, etc.).
References NURS FPX 6112 Assessment 2
You can use these references on your assessment:
Bastian, T. W., Rao, R., Tran, P. V., & Georgieff, M. K. (2020). The effects of early-life iron deficiency on brain energy metabolism. Neuroscience Insights, 15(16). https://doi.org/10.1177/2633105520935104
Capella University. (2025). Sentinel U – Lila Herzog. Capella University.
Cole, E. J., & Doherty, J. H. (2025). Student perceptions of the usefulness of core concepts when reasoning in physiology. Advances in Physiology Education, 49(1), 166–176. https://doi.org/10.1152/advan.00198.2024
Cowperthwait, A. (2020). NLN/Jeffries simulation framework for simulated participant methodology. Clinical Simulation in Nursing, 42(1), 12–21. https://doi.org/10.1016/j.ecns.2019.12.009
Elendu, C., Amaechi, D. C., Okatta, A. U., Amaechi, E. C., Elendu, T. C., Ezeh, C. P., & Elendu, I. D. (2024). The impact of simulation-based training in medical education: A review. Medicine, 103(27), 1–14. https://doi.org/10.1097/MD.0000000000038813
Fields, V. L., Soke, G. N., Reynolds, A., Tian, L. H., Wiggins, L., Maenner, M., DiGuiseppi, C., Kral, T. V. E., Hightshoe, K., & Schieve, L. A. (2021). Pica, autism, and other disabilities. Pediatrics, 147(2). https://doi.org/10.1542/peds.2020-0462
Green, C., Brauner, D., Lane, T., Darlucio, J., & Peace, S. (2025). Applying Kolb’s theory of experiential learning in the development of an evidence-based practice & research council at an acute care hospital. SSRN, 7(9). https://doi.org/10.2139/ssrn.5168456
Leung, A. K. C., & Hon, K. L. (2020). Pica: A common condition that is commonly missed – an update review. Current Pediatric Reviews, 15(3), 164–169. https://doi.org/10.2174/1573396315666190313163530
Moor, V. D., Mesens, T., Soulliaert, S., van Vergote, S., Verheecke, M., Page, G., & Lewi, L. (2025). Iron deficiency anaemia (IDA) in pregnancy: Screening and management. European Journal of Obstetrics & Gynecology and Reproductive Biology X, 15(3). https://doi.org/10.1016/j.eurox.2025.100402
Numan, S., & Kaluza, K. (2020). Systematic review of guidelines for the diagnosis and treatment of iron deficiency anemia using intravenous iron across multiple indications. Current Medical Research and Opinion, 36(11), 1769–1782. https://doi.org/10.1080/03007995.2020.1824898
Raizen, D. M., Mullington, J., Anaclet, C., Clarke, G., Critchley, H., Dantzer, R., Davis, R., Drew, K. L., Fessel, J., Fuller, P. M., Gibson, E. M., Harrington, M., W. Ian Lipkin, Klerman, E. B., Klimas, N., Komaroff, A. L., Koroshetz, W., Krupp, L., Kuppuswamy, A., & Lasselin, J. (2023). Beyond the symptom: The biology of fatigue. Sleep, 46(9). https://doi.org/10.1093/sleep/zsad069
Warner, M. A., Shore-Lesserson, L., Shander, A., Patel, S. Y., Perelman, S. I., & Guinn, N. R. (2020). Perioperative anemia: Prevention, diagnosis, and management throughout the spectrum of perioperative care. Anesthesia & Analgesia, 130(5), 1364–1380. https://doi.org/10.1213/ANE.0000000000004727
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NURS FPX 6112 Assessment 3




