Postoperative Remote Monitoring with a Transcutaneous Biosensing Patch: Preliminary Evaluation of Data Collection.
Fiche publication
Date publication
juin 2020
Journal
Surgical innovation
Auteurs
Membres identifiés du Cancéropôle Est :
Pr MARESCAUX Jacques, Pr MUTTER Didier
Tous les auteurs :
Vix M, Rodriguez M, Ignat M, Marescaux J, Diana M, Mutter D
Lien Pubmed
Résumé
Connected systems transmitting vital parameters could well represent a tool to shorten postoperative hospital stay while providing continuous remote patient monitoring and potentially detect the onset of complications. Our aim was to analyze the functionality of a transcutaneous biosensing data collection patch in morbidly obese patients. . An adhesive patch (The HealthPatch MD™) was applied to patients' chests postoperatively. The patch was connected to a tablet via a bluetooth network to collect the heart rate, respiratory rate, skin temperature, and posture recognition data. The tablet conveyed data to a secure health data central server by means of a WiFi or 3G/4G transmission. Data were stored in a digital health platform to which health care professionals could connect. The evaluation focused on the volume, quality, and security of data transmission. A pilot phase involved 10 patients. Thirty-three additional patients undergoing bariatric surgery were included in the experimental phase. . The mean length of stay was 2.28 days (range: 2-5 days). The mean time of patch application was 51 ± 25.2 hours per patient (range: 19-139 hours), totalizing 1,683 hours of recording for the 33 patients included. During this time, a total of 7.562.531 data measurement points were collected and transmitted to the e-health platform via the patch. Two total disconnections and two partial disconnections were observed. The acquisition of patient postural data was unreliable. . Connected telemetry for remote postoperative monitoring is promising. However, it is still limited by data transmission problems.
Mots clés
connected objects, day case surgery, distant patient monitoring, enhanced recovery after surgery, obesity surgery
Référence
Surg Innov. 2020 Jun 11;:1553350620929461