Turing machine task analysis: specifying emergency assistance functions for a telemedicine system
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ORIGINAL ARTICLE
Turing machine task analysis: specifying emergency assistance functions for a telemedicine system Cécile Isabelle Bernard1 · Seamus Thierry2 · Thierry Morineau1 Received: 14 January 2020 / Accepted: 18 September 2020 © Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract Isolated caregivers in remote environments frequently request medical advice or decision support from distant experts. Among the multiple difficulties arising from this configuration, exchanging timely and pertinent information under pressure between the two parties poses a considerable challenge. Cognitive Work Analysis and notably the Turing Machine Task Analysis (TMTA) method that enables task processing simulation represent a methodological framework that can guide the specification of remote assistance systems. Within this perspective, TMTA was used to specify assistance functions within a case study of acute abdominal pain occurring on a remote location. Using previous studies and medical knowledge, a work domain analysis of acute abdominal pain was conducted. Based on this analysis, a Turing machine state space was formalized. Applying this method provides two main outcomes helping specify medical assistance functions: a global architecture of medical assistance for isolated caregivers and guidance to define the kind of assistance functions that could be implemented, notably owing to the simulation of Turing machine scenarios. Associated with the abstraction hierarchy technique, the Turing machine simulation process provides a model of the dynamics of interaction between agents and work domain within the framework of adaptive assistance. Keywords Cognitive work analysis · Work domain analysis · Turing machine task analysis · Telemedicine · Isolated environment · Assistance
1 Introduction
Cécile Isabelle Bernard cecile.bernard@univ‑ubs.fr
On the one hand, the remote caregivers managing the injured or sick patient have to deal with multiple challenges. A medical emergency, as such, is a complex issue with high stakes and time pressure. Even though they may have some medical competencies, the required specific skills are rarely fully mastered by the crew members. Specialized therapeutic or diagnosis equipment may be unavailable, therefore limiting both the accuracy of the medical information and the range of actions available to the caregivers. On the other hand, the presence of a medical expert may be required to help and prioritize the adapted response to deliver such as decisions about medical evacuation or specific therapeutic measures. This expert also faces many issues, particularly in her/his attempt to obtain a clear and complete awareness of the remote situation that will allow stabilizing care delivery:
Seamus Thierry [email protected]
• Issues relating to the means of communication (commu-
Medical emergencies in remote environments constitute critical situations as they occur in more or less constraining contexts such as geographical separation (e.g., rural environments, Metelmann et al. 20
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