The potential of real-time analytics to improve care for mechanically ventilated patients in the intensive care unit: an early economic evaluation.

ABSTRACT:

Background

Mechanical ventilation services are an important driver of the high costs of intensive care. An optimal interaction between a patient and a ventilator is therefore paramount. Suboptimal interaction is present when patients repeatedly demand, but do not receive, breathing support from a mechanical ventilator (> 30 times in 3 min), also known as an ineffective effort event (IEEV). IEEVs are associated with increased hospital mortality prolonged intensive care stay, and prolonged time on ventilation and thus development of real-time analytics that identify IEEVs is essential. To assist decision-making about further development we estimate the potential cost-effectiveness of real-time analytics that identify ineffective effort events.

Methods

We developed a cost-effec

SUBMITTER: Bakker L 

PROVIDER: S-EPMC7729701 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature