Background: Telemedicine systems for diabetes are often evaluated by healthcare professionals following questions raised from patients. However the physician can not be contacted by the patient in situation of metabolic risk. Aim: To test a new telemedicine system that allows healthcare professionals to access the dashboard only following a previously decided alarm. Materials and method: TreC Diabetes was produced by FBK and was given on smartphone to 10 paediatric patients with type 1 diabetes. The application allows the patient to enter blood glucose, food and insulin data that are stored in real time in the centralized database. From the analysis of these data, the platform generates some previously decided alarms of repeated hypo and/or hyperglycaemia and some predictive alarms for these condition on the basis of LBGI and HBGI. These alarms are sent to the Paediatric Endocrinologist by e-mail A simulation for 9 months was undertaken to test the platform and the paediatric diabetologist responded to the alarms by choosing among a few options Results: During the 9 months, the Paediatric diabetologist received 180 alarms. The most frequent alarm was LBGI > 2.5 (n = 89). In response to the alarm LBGI >5 (n= 15) the physician would want to contact the patient by phone. Conclusion: This is a newtelemedicine system for diabetes that allows healthcare professional to access the dashboard only following a previously decided alarm. The platform is now complete, and we will begin a new study to assess the acceptability and satisfaction of patients enrolled.
Trec diabetes: a new telemedicine system
Piras, Enrico Maria;Eccher, Claudio;Forti, Stefano
2014-01-01
Abstract
Background: Telemedicine systems for diabetes are often evaluated by healthcare professionals following questions raised from patients. However the physician can not be contacted by the patient in situation of metabolic risk. Aim: To test a new telemedicine system that allows healthcare professionals to access the dashboard only following a previously decided alarm. Materials and method: TreC Diabetes was produced by FBK and was given on smartphone to 10 paediatric patients with type 1 diabetes. The application allows the patient to enter blood glucose, food and insulin data that are stored in real time in the centralized database. From the analysis of these data, the platform generates some previously decided alarms of repeated hypo and/or hyperglycaemia and some predictive alarms for these condition on the basis of LBGI and HBGI. These alarms are sent to the Paediatric Endocrinologist by e-mail A simulation for 9 months was undertaken to test the platform and the paediatric diabetologist responded to the alarms by choosing among a few options Results: During the 9 months, the Paediatric diabetologist received 180 alarms. The most frequent alarm was LBGI > 2.5 (n = 89). In response to the alarm LBGI >5 (n= 15) the physician would want to contact the patient by phone. Conclusion: This is a newtelemedicine system for diabetes that allows healthcare professional to access the dashboard only following a previously decided alarm. The platform is now complete, and we will begin a new study to assess the acceptability and satisfaction of patients enrolled.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
