Fuzzy Petri nets based decision support system for ambulatory treatment of non-severe acute diseases

A flexible support system to offer warnings, therapies and recommendations for remote patient surveillance is presented. This system aims to improve the home healthcare assistance of patients with acute, light and medium-severe forms of diseases, which were previously diagnosed by family doctors (general practitioners) and specialists. It is used to early detect possible symptoms and signs of complications and also to adapt the treatment and to increase its efficiency. Symptoms and personal reactivity to prescribed medications (specific response to treatments) can be better monitored and interpreted. An inference mechanism based on Petri nets and Fuzzy theory was designed and experimentally implemented for diseases evolution supervising purposes. The doctor — patients scheduled or emergence communication sessions are based on Internet and mobile telephony technologies.