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Влияние побочных эффектов лекарственных препаратов на удовлетворенность пациентов: исследования потребителей для фармацевтической промышленности с использованием свободно доступных данных

2018

In this study we demonstrate how user-generated online content on side-effects experienced by patients while taking a drug can be used to do research after the pharmaceutical product is introduced to the market, i.e. to complement the results of official clinical studies and market research. Publicly available data from an online platform with reviews from patients are used as an input to the system that applies statistical and machine learning methods and provides users with a comprehensive report on side-effects, their relationship to demographic characteristics and to the overall satisfaction with the medication, as well as on the associations between various side-effects. The proposed analysis system can help pharmaceutical companies to improve their products and figure out fighting which adverse effects should be given a priority from the customer satisfaction perspective. The information provided by the system will allow doctors to predict the probability of the most serious adverse reactions given patient’s age and sex, as well as already observed side-effects. This may influence a doctor’s decision to modify the treatment. The key feature of our study is that, despite being interdisciplinary and helpful for medical professionals, it is the first study that focuses on marketing implications of side-effects because we reveal the contribution of various side-effects to customer satisfaction, while recent patient experience research has been focused merely on methods of extracting information on side-effects from unstructured or semi-structured review.

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