How to represent the decision process in a medication plan: the case of the swiss cohort of inflammatory bowel diseases

Ehrler F1, Baumann P1, Lovis C1. Stud Health Technol Inform. 2015;210:724-8.
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1University Hospitals of Geneva, Division of Medical Information Sciences, Geneva, Switzerland.


Inflammatory bowel diseases (IBD) belong to healthcare problems impacting the quality of life and inducing important costs for the healthcare system. There is still no magical cure against this kind of diseases, but many promising therapies are under investigation. In order to study the efficiency and side effects of the existing drugs and to evaluate new ones, large numbers of patients are followed in long term cohort studies. The particular constraints associated to the follow up of patients with IBD require the implementation of adapted and efficient tools. On the one hand, clinicians must be able to perform daily changes to the patient treatment in order to adapt it for its best efficiency and react to side effects. On the other hand, the tool must provide long term view on the data to allow large scale analyses regarding the efficiency of the investigated treatment. There are few solutions allowing a clear visualization of the treatment plan of the patients in the long term that indicates clearly the changes and the adverse events. In this work, we propose a new integrated tool that offers a clear temporal view over the patients' treatment.

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