Stopped: Context of the COVID-19 pandemic, strict eligibility criteria (especially 15 km radius from the CHUGA) significantly reducing the active file and the recruitment capacities.
Patients requiring long-term home parenteral nutrition (HPN) suffer from chronic intestinal insufficiency. The causes of this syndrome can be either anatomical (extensive resection of the small bowel) or functional (occlusion, pseudo-occlusion, malabsorption). Consequences mean that patients are unable to cover their oral energy and / or hydroelectrolytic needs. As a result, these patients survive only through a nutritional support by the venous route (parenteral nutrition). However, this lifesaving therapy requires complex technological nutritional support issues at home, which will influence the personal life of the patients. At home, HPN therapy is performed by nutrition pumps providing a constant flow and able to detect anomalies. In this context, the development of connected systems that allow informations transmission could help patient's caregiving by the different persons involved in his follow-up (prescribing physicians, home support nurses, patients and relatives, manufacturers). The main objective of this study is to evaluate the performance of an end-to-end data transmission chain which integrates a nutrition pump connected to a medical IoT module (developped by Maatel) able to send information to an applicative layer (software interface PatHView2, developped by Orange Labs) via different transmission modes : LoRaWAN (Long Range Wide-area network), BLE (Bluetooth Low Energy), GSM LTE-M (Global System for Mobile Communications, Long Term Evolution - Machine Type Communication).
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Ratio of all data and anomaly events correctly transmitted from the connected infusion pump to the software interface.
Timeframe: 1 month