INTRODUCTION: Follow-up of obese patient is difficult. There is no literature related to patient follow-up that incorporates the concept of Internet of Things (IoT), use of WiFi, Internet, or portable devices for this purpose. MATERIAL AND METHODS: This prospective observational study commenced in June 2011. Patients were prospectively offered to participate in the IoT study group, in which they received a WiFi scale (Withing®, Paris) that provides instant WiFi data to the patient and surgeon. Other patients were admitted to the standard follow-up group at the outpatient clinic. A total of 33 patients were included in our study (ten in the IoT group). RESULTS: Twelve patients did not have WiFi at home, ten lacked of computer knowledge, and seven preferred standard for follow-up. All patients underwent different surgical procedures. There were no complications. Excess weight loss (EWL) was similar in both groups. More than 90% of patients were satisfied. In the IoT group, patients considered it valuable in saving time, and considered seeing their evolution graphics extremely motivating. CONCLUSION: IoT technology can monitor medical parameters remotely and collect data. A WiFi scale can facilitate preoperative and follow-up. Standard follow-up in a classical outpatient clinic setting with the surgeon was preferred globally.
INTRODUCTION: Follow-up of obesepatient is difficult. There is no literature related to patient follow-up that incorporates the concept of Internet of Things (IoT), use of WiFi, Internet, or portable devices for this purpose. MATERIAL AND METHODS: This prospective observational study commenced in June 2011. Patients were prospectively offered to participate in the IoT study group, in which they received a WiFi scale (Withing®, Paris) that provides instant WiFi data to the patient and surgeon. Other patients were admitted to the standard follow-up group at the outpatient clinic. A total of 33 patients were included in our study (ten in the IoT group). RESULTS: Twelve patients did not have WiFi at home, ten lacked of computer knowledge, and seven preferred standard for follow-up. All patients underwent different surgical procedures. There were no complications. Excess weight loss (EWL) was similar in both groups. More than 90% of patients were satisfied. In the IoT group, patients considered it valuable in saving time, and considered seeing their evolution graphics extremely motivating. CONCLUSION: IoT technology can monitor medical parameters remotely and collect data. A WiFi scale can facilitate preoperative and follow-up. Standard follow-up in a classical outpatient clinic setting with the surgeon was preferred globally.
Authors: Sarah E Messiah; Paul M Sacher; Joshua Yudkin; Ashley Ofori; Faisal G Qureshi; Benjamin Schneider; Deanna M Hoelscher; Nestor de la Cruz-Muñoz; Sarah E Barlow Journal: Digit Health Date: 2020-01-07
Authors: Marc Beisani; Ramon Vilallonga; Carlos Petrola; Asunción Acosta; José Antonio Casimiro Pérez; Amador García Ruiz de Gordejuela; Carlos Fernández Quesada; Oscar Gonzalez; Arturo Cirera de Tudela; Enric Caubet; Manel Armengol; José Manuel Fort Journal: Langenbecks Arch Surg Date: 2020-11-26 Impact factor: 3.445