The effect of music on monitoring a simulated anaesthetised patient with sonfication

The idea of sonifying anaesthetised patients’ vital signs is gaining acceptance, but some anaesthetists are concerned about additional noise in the operating theatre. We tested the effect of ambient music (jazz, classical and rock) on participants’ ability to monitor a simulated anaesthetised patient with sonification and visual monitors. Participants liked working with ambient music when workload was low. Participants preferred rock music, but reported working better with classical. Ambient music has less effect on participants’ ability to monitor the simulated patient than a distractor task does. We discuss practical implications of these findings.

Earcon for intermittent information in monitoring environments

In this paper we discuss the first of a series of experiments evaluating earcons for critical care environments. We examine peoples’ ability to monitor earcons conveying systolic and diastolic blood pressure while conducting a distractor task. The results showed that when a beacon is present prior to the earcon, participants’ judgment of pitch and duration information improved. The results of the study also indicated presence of historical information in the earcon may interfere with participants’ judgments. However, since participants felt more confident in their recall of previous values when the historical information was present, the results may reflect insufficient training.

Ontological clarity and comprehension in health data models

Conceptual modeling forms an important part of systems analysis. If this is done incorrectly or incompletely, there can be serious implications for the resultant system, specifically in terms of rework and useability. One approach to improving the conceptual modelling process is to evaluate how well the model represents reality. Emergence of the Bunge-Wand-Weber (BWW) ontological model introduced a platform to classify and compare the grammar of conceptual modelling languages. This work applies the BWW theory to a real world example in the health arena. The general practice computing group data model was developed using the Barker Entity Relationship Modelling technique. We describe an experiment, grounded in ontological theory, which evaluates how well the GPCG data model is understood by domain experts. The results show that with the exception of the use of entities to represent events, the raw model is better understood by domain experts