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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/32208

Title: Weak signals in healthcare: A case study on community-based patient discharge
Authors: Carman, Eva-Maria
Fray, Mike
Waterson, Patrick
Keywords: Sensemaking
Health
Weak signals
SEIPS
Safety-II
Issue Date: 2017
Publisher: © The University of Bath
Citation: CARMAN, E-M., FRAY, M. and WATERSON, P., 2017. Weak signals in healthcare: A case study on community-based patient discharge. IN: Gore, J. and Ward, P. (eds). NDM13 Naturalistic Decision Making and Uncertainty. Proceedings of the 13th International Conference on Naturalistic Decision Making, Bath, UK, 20-23 June 2017, pp.314-321.
Abstract: To adjust performance to ensure the success of a task and prevent error, it is necessary to anticipate, identify and respond to variations in the work system. The objectives of this study were to develop a framework for the analysis of signals, which provide an indication of variations in the system, in the healthcare environment and qualitatively investigate signals in the context of community-based patient discharge. In addition to the signals, both traditional (Safety-I) and proactive safety (SafetyII) elements were investigated with six expert groups, from the field of community-based patient discharge. The signals identified and the safety elements were analysed using the SEIPS 2.0 model. The sources of the signals were identified as originating from work system elements. The proposed framework and method provide a preliminary basis for the investigation of signals and assists in highlighting the role that these can play in safety behaviour.
Description: This is a conference paper.
Sponsor: The project was commissioned as a result of a successful joint bid for funding by Health Partnerships, a Division within Nottinghamshire Health Care NHS Foundation Trust and Loughborough University Design School.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/32208
Publisher Link: http://50years.bath.ac.uk/story/event/international-conference-on-naturalistic-decision-making/
ISBN: 9780861971947
Appears in Collections:Conference Papers and Presentations (Design School)

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