Interprofessional Team Training With Virtual Reality: Acceptance, Learning Outcome, and Feasibility Evaluation Study.

Background: Effective interprofessional teamwork is vital for ensuring high-quality patient care, especially in emergency medicine. However, interprofessional education often fails to facilitate meaningful interaction among health care disciplines. It is therefore imperative to afford early opportunities for cultivating interprofessional teamwork skills.

Model ensembling as a tool to form interpretable multi-omic predictors of cancer pharmacosensitivity.

Stratification of patients diagnosed with cancer has become a major goal in personalized oncology. One important aspect is the accurate prediction of the response to various drugs. It is expected that the molecular characteristics of the cancer cells contain enough information to retrieve specific signatures, allowing for accurate predictions based solely on these multi-omic data.

Risk factors for wrong-patient medication orders in the emergency department.

Objectives: This paper investigates the risk factors for wrong-patient medication orders in an emergency department (ED) by studying intercepted ordering errors identified by the "retract-and-reorder" (RaR) metric (orders that were retracted and reordered for a different patient by the same provider within 10 min).

Materials And Methods: Medication ordering data of an academic ED were analyzed to identify RaR events. The association of RaR events with similarity of patient names and birthdates, matching sex, age difference, the month, weekday, and hour of the RaR event, the elapsed hours since ED shift start, and the proximity of exam rooms in the electronic medical record (EMR) dashboard's layout was evaluated.

TEAMs go VR-validating the TEAM in a virtual reality (VR) medical team training.

Background: Inadequate collaboration in healthcare can lead to medical errors, highlighting the importance of interdisciplinary teamwork training. Virtual reality (VR) simulation-based training presents a promising, cost-effective approach. This study evaluates the effectiveness of the Team Emergency Assessment Measure (TEAM) for assessing healthcare student teams in VR environments to improve training methodologies.

Time-of-day effects of cancer drugs revealed by high-throughput deep phenotyping.

The circadian clock, a fundamental biological regulator, governs essential cellular processes in health and disease. Circadian-based therapeutic strategies are increasingly gaining recognition as promising avenues. Aligning drug administration with the circadian rhythm can enhance treatment efficacy and minimize side effects.