A knowledge- and model-based system for automated weaning from mechanical ventilation: technical description and first clinical application.

To describe the principles and the first clinical application of a novel prototype automated weaning system called Evita Weaning System (EWS). EWS allows an automated control of all ventilator settings in pressure controlled and pressure support mode with the aim of decreasing the respiratory load of mechanical ventilation. Respiratory load takes inspired fraction of oxygen, positive end-expiratory pressure, pressure amplitude and spontaneous breathing activity into account.

Standardizing intensive care device data to enable secondary usages.

To represent medical device observations in a format that is consumable by clinical software, standards like HL7v3 and ISO/IEEE 11073 should be used jointly. This is demonstrated in a project with Dräger Medical GmbH focusing on their Patient Data Management System (PDMS) in intensive care, called Integrated Care Manager (ICM). Patient and device data of interest should be mapped to suitable formats to enable data exchange and decision support.

[SmartCare: automatizing clinical guidelines].

In critical care environments, important medical and economic challenges are presented by the enhancement of therapeutic quality and the reduction of therapeutic costs. For this purpose, several clinical studies have demonstrated a positive impact of the adoption of so-called clinical guidelines. Clinical guidelines represent well documented best practices in healthcare and are fundamental aspects of evidence-based medicine.

A multicenter randomized trial of computer-driven protocolized weaning from mechanical ventilation.

Rationale And Objectives: Duration of weaning from mechanical ventilation may be reduced by the use of a systematic approach. We assessed whether a closed-loop knowledge-based algorithm introduced in a ventilator to act as a computer-driven weaning protocol can improve patient outcomes as compared with usual care.

Methods And Measurements: We conducted a multicenter randomized controlled study with concealed allocation to compare usual care for weaning with computer-driven weaning.