Proactive deep learning-facilitated inpatient penicillin allergy delabelling: An implementation study.

Introduction: Erroneous penicillin allergy labels are associated with significant health and economic costs. This study aimed to determine whether deep learning-facilitated proactive consultation to facilitate delabelling may further enhance inpatient penicillin allergy delabelling.

Methods: This prospective implementation study utilised a deep learning-guided proactive consultation service, which utilized an inpatient penicillin allergy delabelling protocol.

Outlier or handover: outcomes for General Medicine inpatients.

Objective Patients admitted from the emergency department may be co-located on the treating team's 'home ward'. If no bed is available, patients may be sent to another ward, where they may remain under the admitting team as an 'outlier'. Conversely, care may be handed over to the team on whose home ward they are located.