Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain

Malte Luttermann; Edgar Baake; Juljan Bouchagiar; Benjamin Gebel; Philipp Grüning; Dilini Manikwadura; Franziska Schollemann; Elisa Teifke; Philipp Rostalski; Ralf Möller

Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain

Malte Luttermann, Edgar Baake, Juljan Bouchagiar, Benjamin Gebel, Philipp Grüning, Dilini Manikwadura, Franziska Schollemann, Elisa Teifke, Philipp Rostalski, Ralf Möller

Abstract

Failure mode and effects analysis (FMEA) is a systematic approach to identify and analyse potential failures and their effects in a system or process. The FMEA approach, however, requires domain experts to manually analyse the FMEA model to derive risk-reducing actions that should be applied. In this paper, we provide a formal framework to allow for automatic planning and acting in FMEA models. More specifically, we cast the FMEA model into a Markov decision process which can then be solved by existing solvers. We show that the FMEA approach can not only be used to support medical experts during the modelling process but also to automatically derive optimal therapies for the treatment of patients.

Original language	English
Publication status	Published - 06.05.2024

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Access to Document

2405.03406v1

Cite this

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abstract = "Failure mode and effects analysis (FMEA) is a systematic approach to identify and analyse potential failures and their effects in a system or process. The FMEA approach, however, requires domain experts to manually analyse the FMEA model to derive risk-reducing actions that should be applied. In this paper, we provide a formal framework to allow for automatic planning and acting in FMEA models. More specifically, we cast the FMEA model into a Markov decision process which can then be solved by existing solvers. We show that the FMEA approach can not only be used to support medical experts during the modelling process but also to automatically derive optimal therapies for the treatment of patients.",

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T1 - Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain

AU - Luttermann, Malte

AU - Baake, Edgar

AU - Bouchagiar, Juljan

AU - Gebel, Benjamin

AU - Grüning, Philipp

AU - Manikwadura, Dilini

AU - Schollemann, Franziska

AU - Teifke, Elisa

AU - Rostalski, Philipp

AU - Möller, Ralf

N1 - Accepted to the German Journal of Artificial Intelligence

PY - 2024/5/6

Y1 - 2024/5/6

N2 - Failure mode and effects analysis (FMEA) is a systematic approach to identify and analyse potential failures and their effects in a system or process. The FMEA approach, however, requires domain experts to manually analyse the FMEA model to derive risk-reducing actions that should be applied. In this paper, we provide a formal framework to allow for automatic planning and acting in FMEA models. More specifically, we cast the FMEA model into a Markov decision process which can then be solved by existing solvers. We show that the FMEA approach can not only be used to support medical experts during the modelling process but also to automatically derive optimal therapies for the treatment of patients.

AB - Failure mode and effects analysis (FMEA) is a systematic approach to identify and analyse potential failures and their effects in a system or process. The FMEA approach, however, requires domain experts to manually analyse the FMEA model to derive risk-reducing actions that should be applied. In this paper, we provide a formal framework to allow for automatic planning and acting in FMEA models. More specifically, we cast the FMEA model into a Markov decision process which can then be solved by existing solvers. We show that the FMEA approach can not only be used to support medical experts during the modelling process but also to automatically derive optimal therapies for the treatment of patients.

M3 - Preprint

BT - Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain

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