Safe Implementation of Embedded Software for a Portable Device Supporting Drug Administration

Abstract

Abstract-Poor adherence to medical regimen causes approximately 33% to 69% of medication-related hospitalizations and accounts for $100 billion in annual health care costs. In this paper we address the problem of unintentional non adherence, when patient fails to take a medication due to forgetfulness or carelessness. We present the safe approach to software implementation of a portable reminder device with enabled personalization of medical regimen. The presented prototype is designed for imatinib administration, a drug used to treat Chronic Myeloid Leukemia (CML). However, thanks to the component-based structure of the software, the method can be applied to other cases by replacing implementation of certain components.

Tucuxi

“…3.2.1 Concentration calculation. Prediction of drug concentration can be done through model-free systems (e.g., Support Vector Machine [23]) based on population data, or through model-based systems. The model-free approach may be well suited for predicting concentration at a speci c time (typically time of measure), but often su ers from limits of applicability (depending on the method, concentrations below zero could be calculated).…”