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Vassilev, Vassil, Sowinski-Mydlarz, Viktor, Donchev, Doncho, Baghaeishiva, Reza and Basnet, Animesh Singh (2026) Digital second opinion for assessment of the clinical risks. In: 2025 12th International Conference on Social Networks Analysis, Management and Security (SNAMS), 25-28 November 2025, Vienna, Austria.
A powerful and convenient model for any process workflows, including clinical pathways in medical practice, is the Partially Observable Markov Decision Process model (POMDP). However, the algorithms for computing the optimal policy in such models are approximate and require a significant number of data samples for convergence. In addition, there aren’t easy-to-use software products that can be used by the medical staff. This article presents a software that can be used as a digital second opinion assistant for assessing the clinical risks and optimization of the clinical pathways using only data from the patient’s medical history and basic statistics. Based on an original methodology that combines deterministic modeling of the workflows with stochastic optimization, it implements efficient algorithms for assessing the risks of recurring conditions and developing complications in clinical practice. The software combines an intuitive and convenient interactive model editor with completely automatic calculation of the risks and the strategy for treatment. Initially developed for security by design of cyber systems, it can be used for optimization of sequential processes in many medical areas, such as diagnostics, monitoring, and control.
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