Impact of a Novel Virtual Rounding Queue Software on Nurse and Family Presence for Rounds in the Neonatal Intensive Care Unit: A Pilot Study.

Objective: Coordination to get everyone in the room at the same time for family-centered rounds (FCR) is challenging. The objective of this study was to determine if using a virtual queue that notifies nurses and families in real time when to expect the rounding team could impact their presence on rounds.

Methods: We observed rounds on two neonatal intensive care unit (NICU) teams for 6 weeks before and after implementation of a novel rounding software, Q-rounds, that shares real-time updates on when the team will arrive and allows families to répondez s'il vous plaît (RSVP) to join remotely when they cannot be there in person.

A fast, resource efficient, and reliable rule-based system for COVID-19 symptom identification.

Objective: With COVID-19, there was a need for a rapidly scalable annotation system that facilitated real-time integration with clinical decision support systems (CDS). Current annotation systems suffer from a high-resource utilization and poor scalability limiting real-world integration with CDS. A potential solution to mitigate these issues is to use the rule-based gazetteer developed at our institution.