Norm-Based Approach to Incorporate Human Factors into Clinical Pathway: Reducing Human Error and Improving Patient Safety

Autor: Yu-Chun Pan, Vaughan Michell, Jasmine Tehrani
Přispěvatelé: University of Bedfordshire, University of Reading (UOR), University of West London, Kecheng Liu, Keiichi Nakata, Weizi Li, Cecilia Baranauskas, TC 8, WG 8.1
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: IFIP Advances in Information and Communication Technology
18th International Conference on Informatics and Semiotics in Organisations (ICISO)
18th International Conference on Informatics and Semiotics in Organisations (ICISO), Jul 2018, Reading, United Kingdom. pp.73-82, ⟨10.1007/978-3-319-94541-5_8⟩
IFIP Advances in Information and Communication Technology ISBN: 9783319945408
ICISO
Popis: Part 1: Organisational Semiotics: Theory and Application; International audience; Patient safety and accidental harm or iatrogenic errors are increasingly important healthcare issues resulting in high costs and mortality. The way clinical workflow and actions are communicated can impact patient safety. Although much work has been done to identify the individual human factors and recommendations are made to control and reduce human factor errors, little work has been done to provide a structured methodology to analyse and control human factor influencing patient safety outcomes. In this paper, we build on the previous work on automatic development of clinical pathways, semiotic approach to modelling norm-base clinical pathways and propose a Human Factor Failure Modes and Effects Analysis (HFMA) which offers a systematic approach to define, design and incorporation of human factors into formal design of clinical pathways. Organisational semiotics methods specifically NAM and SAM are applied to identify and analyse controls to reduce the adverse impact of human factors in healthcare settings. This is achieved through modelling and integration of human factors into clinical pathways. This will result in more rigorous control the care process ensuring completeness, consistency and patient safety by enabling the mapping of formal and informal/safety controls into clinical pathways.
Databáze: OpenAIRE