Co-constructive patient simulation provides an alternative multistage and multimodal approach to traditional SP simulation sessions that can adapt iteratively and in real time to new clinical vicissitudes and challenges This learner-centered model holds promise to enrich simulation-based education by fostering autonomous, meaningful, and relevant experiences that are in alignment with trainees' self-identified learning goals.Co-constructive patient simulation provides an alternative multistage and multimodal approach to traditional SP simulation sessions that can adapt iteratively and in real time to new clinical vicissitudes and challenges This learner-centered model holds promise to enrich simulation-based education by fostering autonomous, meaningful, and relevant experiences that are in alignment with trainees' self-identified learning goals. Simulation use in research is often limited by controlling for scenario difficulty when using repeated measures. Our study assesses the feasibility of the Modified Angoff Method to reach expert consensus regarding difficulty of medical simulations. We compared scores with participant physiologic stress. Emergency medicine physicians with expertise in simulation education were asked to review 8 scenarios and estimate the percentage of resident physicians who would perform all critical actions using the modified Angoff method. A standard deviation (SD) of less than 10% of estimated percentage correct signified consensus. Twenty-five residents then performed the 6 scenarios that met consensus and heart rate variability (HRV) was measured. During round 1, experts rated 4/8 scenarios within a 10% SD for postgraduate year 3 (PGY3) and 3/8 for PGY4 residents. In round 2, 6/8 simulation scenarios were within an SD of 10% points for both years. Intraclass correlation coefficient was 0.84 for PGY3 ratings and 0.8 a feasible approach to evaluate simulation difficulty for educational and research purposes and may decrease the time and resources necessary for scenario piloting. A provider's ability to translate knowledge about transgender health to affirming patient care is key to addressing disparities. However, standardized patient (SP) programs have little published guidance for gender-affirming care or addressing disparities experienced by transgender and nonbinary patients. Between 2018 and 2019, we invited all 208 accredited US and Canadian medical schools to participate in a study to determine how gender minorities are represented in SP encounters. Responding programs (n = 59, response rate = 28%) that represented patients with diverse gender identities were invited to complete semistructured interviews about SP case content, impact, and barriers to this work. Discussions were analyzed using a modified grounded theory method. Fifty nine of 208 eligible programs (response rate = 28.3%) completed our survey and 24 completed interviews. More than half of programs used gender minority SPs (n = 35, 59.3%). More than half of the programs also reported portraying gender minoriory capacity at the program level will be essential to teach gender-affirming care.Many programs have established or are developing SP activities that portray gender minority patients. Effective SP simulation hinges on authenticity, but the decisions around case development and casting vary. Specifically, programs lack consensus about who should portray gender minority patients. This research suggests that input from gender minority communities both to inform best practices at the macro level and in an ongoing advisory capacity at the program level will be essential to teach gender-affirming care. Medication administration error (MAE) is the improper dispensing of medication. It is a significant contributor to the occurrence of medical errors. A novel systems thinking approach using a pediatric simulation and student nurses were used to evaluate the benefit of applying just-in-time information (JITI) to reduce medication errors. Just-in-time information applies highly focused information delivered when needed. A smart device app was developed to provide JITI medication administration information. The effect JITI had on MAE occurrence was assessed via a controlled study. The study population included 38 teams having 2 to 3 senior nursing students on each team. The teams were separated into a control and 2 intervention groups to complete a medication administration simulation. The intervention groups (100%, N = 10) that made significant use of the JITI app demonstrated improved performance for medication administration over the control group. Familiarity with the app was pivotal to how frequently it was used and to the success of the groups in administering medications. Although those with access to the app having limited training successfully executed the simulation 27.3% (n = 11) of the time, those with extended training had a success rate of 77.8% (n = 9). Providing JITI significantly reduced the occurrence of MAEs for these student nurses. see more Familiarity with the app, including extended training opportunities, contributed significantly to student success.Providing JITI significantly reduced the occurrence of MAEs for these student nurses. Familiarity with the app, including extended training opportunities, contributed significantly to student success. Multiple attempts and failure at endotracheal intubation (ETI) are common for inexperienced practitioners and can cause patient morbidity. A test to predict a provider's likelihood of success at patient ETI could assist decisions about training. This project investigated whether trainees' performance at laryngoscopy on airway mannequins predicted their laryngoscopy outcomes in patients. Twenty-one consenting first-year anesthesiology residents, emergency medicine residents, and medical students enrolled in this prospective, observational study. They performed laryngoscopy and ETI with a curved laryngoscope on 4 airway mannequins. Metrics included peak dental force, procedure duration, esophageal intubation, laryngeal view, and first-pass ETI success on the mannequins. Trainee data from 203 patient ETIs were collected over a roughly 2-month period centered around the simulation test. Multivariable logistic regression analyzed the relationship of mannequin metrics, participant experience, and a patient difficult airway score with trainee ETI outcomes in patients.