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

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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BibTeX Citation

@article{Luttermann2024c,
    author    = {Malte Luttermann and Edgar Baake and Juljan Bouchagiar and Benjamin Gebel and Philipp Gr\"uning and Dilini Manikwadura and Franziska Schollemann and Elisa Teifke and Philipp Rostalski and Ralf M\"oller},
    title     = {{Automated Computation of Therapies Using Failure Mode and Effects Analysis in the Medical Domain}},
    journal   = {German Journal of Artificial Intelligence},
    volume    = {},
    year      = {2024},
    pages     = {},
    publisher = {Springer}
}