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Modelling and Assessment of One-Drug Dose Titration

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Artificial Intelligence in Medicine (AIME 2021)

Abstract

In health-care, medical errors are quantified. Among them, wrong dose prescriptions occur. Drug dose titration (DT) is the process by which dosage is progressively adjusted to the patient till a steady dose is reached. Depending on the clinical disease, drug, and patient, dose titration can follow different procedures. Once modeled, these procedures can serve for clinical homogenization, standardization, decision support and retrospective analysis. Here, we propose a language to model dose titration procedures. The language was used to formalize single-drug titration of chronic and acute cases, and perform retrospective analysis of the drug titration processes on 1,000 cases treated with Bisoprolol and 2,430 cases treated with Ramipril, in order to identify different types of drug titration deviations from standard DT methods.

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Notes

  1. 1.

    https://www.drugs.com/dosage/bisoprolol.html.

  2. 2.

    https://www.drugs.com/dosage/ramipril.html.

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Acknowledgements

The authors acknowledge financial support from the Slovenian Research Agency (Research Core Funding No. P2-0057) and the Spanish Ministry of Science and Innovation (Funding Code PID2019-105789RB-I00).

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Correspondence to David Riaño .

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Riaño, D., Kamišalić, A. (2021). Modelling and Assessment of One-Drug Dose Titration. In: Tucker, A., Henriques Abreu, P., Cardoso, J., Pereira Rodrigues, P., Riaño, D. (eds) Artificial Intelligence in Medicine. AIME 2021. Lecture Notes in Computer Science(), vol 12721. Springer, Cham. https://doi.org/10.1007/978-3-030-77211-6_55

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  • DOI: https://doi.org/10.1007/978-3-030-77211-6_55

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  • Online ISBN: 978-3-030-77211-6

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