ChatGPT-4.0 generated a hybrid 4x10/5x8 nurse schedule that met daily coverage for 5 outpatient and 1 heart center roles, though human review was required to resolve role-specific gaps.
Does ChatGPT-4.0 improve nurse scheduling in an outpatient cardiology clinic?
ChatGPT-4.0 can serve as an effective decision-support tool to accelerate nurse scheduling option generation, provided there is rigorous human validation.
Absolute Event Rate: 0% vs 0%
Objective: Evaluate ChatGPT‑4.0 as a decision‑support tool for an outpatient cardiology nurse scheduling problem. Background: Flexible schedules (4×10) may support retention but often conflict with clinic workflows and coverage needs. Methods: A qualitative case study used constraint mapping and iterative prompt engineering with human oversight to generate and validate schedules against role, full-time equivalent status, and clinic needs. Results: A hybrid 4×10/5×8 model met daily coverage 5 Outpatient Care Center (OCC), 1 Heart Center (HC), and maintained equity, but provided no redundancy for absences; human review resolved role‑specific gaps. Conclusions: ChatGPT can accelerate option generation and quickly solve challenges for nurse managers. Safe and effective use requires clear parameters and rigorous human validation.
Rusk et al. (Mon,) reported a other. ChatGPT-4.0 generated a hybrid 4x10/5x8 nurse schedule that met daily coverage for 5 outpatient and 1 heart center roles, though human review was required to resolve role-specific gaps.