Optimisation of patient monitor alarm settings using annotated hospital data

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master_Fontana_Matias_2018.pdf (1.05 MB)

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Perustieteiden korkeakoulu | Master's thesis
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Date

2018-03-19

Department

Major/Subject

Complex Systems

Mcode

SCI3060

Degree programme

Master’s Programme in Life Science Technologies

Language

en

Pages

61+7

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Abstract

Alarms are a key functionality of any clinical patient monitoring system. When developing a new system, alarm behaviour must be tuned towards maximizing patient safety from all points of view. False alarms are a major problem in patient wards, and produce an effect called alarm stress, which may desensitise care staff and may endanger patients. On the other hand, systems must be sensitive enough to detect any clinically relevant alarm situation. The purpose of this thesis is to study and optimise the alarm behaviour of a patient monitoring system. Annotated monitoring data from hospital tests is used as a reference when tuning system parameters. The platform can be used to rerun hospital test cases in the development environment and produce results. The goal is to have a system that minimises false alarms and does not give false negatives. In this way patient safety is guaranteed from both ends; clinically relevant situations are detected, but care staff is not desensitised by too many false alarms. Main results include optimised alarm configurations for the monitoring system, and information about the subjectivity of alarm relevance classification in a clinical monitoring context.

Description

Supervisor

Saramäki, Jari

Thesis advisor

Uutela, Kimmo

Keywords

clinical alarms, patient monitoring, false alarms, alarm fatigue, alarm stress, alarm configurations

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https://urn.fi/URN:NBN:fi:aalto-201804031974

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[dipl] Perustieteiden korkeakoulu / SCI