Using an AI-Nurse to Help Teach Graduating Medical Students to Take Overnight Call

Area of Science:

• Medical Education
• Artificial Intelligence
• Clinical Communication

Background:

• Graduating medical students often lack preparedness for essential communication tasks, such as responding to nursing texts, upon starting residency.
• Effective clinical communication is crucial for patient safety and efficient healthcare delivery.

Purpose of the Study:

• To evaluate the utility of artificial intelligence (AI) in preparing medical students for responding to nursing communications.
• To assess the potential of an AI-nurse simulation to enhance readiness for urgent order requests during on-call simulations.

Main Methods:

• An AI-nurse system was developed to simulate paging and corresponding with fourth-year medical students.
• The simulation focused on requesting urgent orders during an overnight on-call scenario.

Main Results:

• AI-driven simulations can effectively prepare medical students for real-world clinical communication challenges.
• The AI-nurse system demonstrated potential in enhancing interns' response to urgent nursing communications.

Conclusions:

• Artificial intelligence offers a viable solution for improving medical student preparedness in clinical communication.
• AI-nurse simulations represent a promising tool for enhancing resident readiness for on-call responsibilities.