Supporting the distributed execution of clinical guidelines by multiple agents

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Bottrighi, Alessio
Piovesan, Luca
Terenziani, Paolo
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2019
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Abstract

Clinical guidelines (GLs) are widely adopted in order to improve the quality of patient care, and to optimize it. To achieve such goals, their application on a specific patient usually requires the interventions of different agents, with different roles (e.g., physician, nurse), abilities (e.g., specialist in the treatment of alcohol-related problems) and contexts (e.g., many chronic patients may be treated at home). Additionally, the responsibility of the application of a guideline to a patient is usually retained by a physician, but delegation of responsibility (of the whole guideline, or of a part of it) is often used\required (e.g., delegation to a specialist), as well as the possibility, for a responsible, to select the executor of an action (e.g., a physician may retain the responsibility of an action, but delegate to a nurse its execution). To manage such phenomena, proper support to agent interaction and communication must be provided, providing agents with facilities for (1) treatment continuity (2) contextualization, (3) responsibility assignment and delegation (4) check of agent “appropriateness”. In this paper we extend GLARE, a computerized GL management system, to support such needs. We illustrate our approach by means of a practical case study.

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Artificial Intelligence in Medicine

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98

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Engineering

Delegation and execution

Distributed execution of clinical guideline

Knowledge representation

Management of agents' qualification and capabilities

Management of responsibility

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Bottrighi, A; Piovesan, L; Terenziani, P, Supporting the distributed execution of clinical guidelines by multiple agents, Artificial Intelligence in Medicine, 2019

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