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.

中文翻译：

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图灵机任务分析：为远程医疗系统指定紧急援助功能

偏远环境中的隔离护理人员经常需要远程专家的医疗建议或决策支持。在这种配置带来的多重困难中，双方在压力下及时交换相关信息是一个相当大的挑战。认知工作分析，尤其是实现任务处理模拟的图灵机任务分析 (TMTA) 方法，代表了一种可以指导远程协助系统规范的方法论框架。从这个角度来看，TMTA 用于在偏远地区发生的急性腹痛案例研究中指定辅助功能。利用以往的研究和医学知识，对急性腹痛进行了工作领域分析。基于这种分析，图灵机状态空间被形式化。应用这种方法提供了两个主要结果，有助于指定医疗援助功能：为孤立的护理人员提供医疗援助的全球架构，以及定义可以实施的援助功能类型的指南，特别是由于图灵机场景的模拟。与抽象层次技术相关联，图灵机模拟过程提供了自适应辅助框架内代理和工作域之间交互的动态模型。