The INCA System: A Further Step Towards a Telemedical Artificial Pancreas

Gómez, Enrique J.; Pérez, María Elena Hernando; Vering, T.; Rigla, Mercedes; Bott, Oliver J.; García-Sáez, Gema; Pretschner, P.; Brugués, Eulàlia; Schnell, Oliver; Patte, Caroline; Bergmann, Joachim; Dudde, R.; Leiva, Alberto de

doi:10.1109/titb.2007.902162

Cited by 65 publications

(42 citation statements)

References 22 publications

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“…The next system developed by this group was called DIABTel 12 and included a function of glucose data download from the glucometer, with subsequent versions that bring us to the present. Other TM experiences took further steps toward the model most of us recognize; the following ones are good examples: the TIDDM project, 13 using Internet and including a smart analysis for insulin dose counseling; the Computer-Assisted Meal-Related Insulin Therapy project, 14 one of the first to demonstrate a significant change in hemoglobin A1c; the Multiaccess Services for Diabetes Management project, allowing "multi-access" from many different devices; the Informatics for Diabetes Education and Telemedicine study, 15 which included more than 2000 patients in two cohorts from socially underserved areas of New York, obtaining a reduction in hemoglobin A1c; and finally the Intelligent Control Assistant for Diabetes project, 16 integrating, for the first time, CGM into a smart TM platform with positive results in terms of hemoglobin A1c and glucose variability. 6 In general, new advances produced in communications technology have been incorporated progressively into different prototypes (Internet, email, video conferencing, mobile communications) but always with the restriction derived from the lack of interoperability.…”

Section: Clinical Evidence On Efficacy and Reasons For Telemedicine Umentioning

confidence: 99%

Smart Telemedicine Support for Continuous Glucose Monitoring: The Embryo of a Future Global Agent for Diabetes Care

Rigla

2011

J Diabetes Sci Technol

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Although current systems for continuous glucose monitoring (CGM) are the result of progressive technological improvement, and although a beneficial effect on glucose control has been demonstrated, few patients are using them. Something similar has happened to telemedicine (TM); in spite of the long-term experience, which began in the early 1980s, no TM system has been widely adopted, and presential visits are still almost the only way diabetologists and patients communicate. The hypothesis developed in this article is that neither CGM nor TM will ever be routinely implemented separately, and their consideration as essential elements for standard diabetes care will one day come from their integration as parts of a telemedical monitoring platform. This platform, which should include artificial intelligence for giving decision support to patients and physicians, will represent the core of a more complex global agent for diabetes care, which will provide control algorithms and risk analysis among other essential functions.

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Section: Clinical Evidence On Efficacy and Reasons For Telemedicine Umentioning

confidence: 99%

Smart Telemedicine Support for Continuous Glucose Monitoring: The Embryo of a Future Global Agent for Diabetes Care

Rigla

2011

J Diabetes Sci Technol

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“…The Smart Assistant (SA) application configures one of the most advanced approaches to mobile telemedicine close-loop systems in diabetes management 38 . It provides patients with several closed-loop control strategies (personal and remote) that offer an augmented information self-management environment to increase patient empowerment.…”

Section: Pda Smart Assistant Applicationmentioning

confidence: 99%

Mobile Telemedicine for Diabetes Care

Sarriegui¹,

Sáez²,

Pérez³

et al. 2008

Mobile Telemedicine

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Diabetes Mellitus is nowadays one of the most frequent non-contagious diseases in the world and remains a major health problem for the national health care programs. It is well proved that Telemedicine helps diabetic patients controlling their glucose levéis, facilitating their dayto-day therapy management and the communication with health care personnel. The rapid growth and development of information technologies in the áreas of mobile computing and mobile Internet is shaping a new technological scenario of telemedicine and shared care systems. In this chapter we will show one approach to Mobile Telemedicine for Diabetes Care.

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“…From the handmade logbook reporting to stem-cells research, a wide variety of medical technologies are applied to maintain patient health. The healthcare industry and academics are fostering improvements in monitoring technologies: recently, the accuracy and reliability of a fibercoupled optical continuous glucose sensor was tested for 14 consecutive days in a clinical trial, showing promising results [3]; closed-loop artificial pancreas [4] can significantly reduce glucose variability, regardless patient adherence to treatment. Nevertheless, the patient should not be taken out of the equation.…”

Section: Introductionmentioning

confidence: 99%

“…First interventions used the Internet and Public Switched Telephone Network in urban and rural environments [12] [13]. Later on, mobile networks based on GPRS [4] [14] [15] and internet portals [16] [17] were used as new paradigms of the application of ICT in diabetes management. More recently comparative frameworks [18] have described the benefits of using mobile technologies in the management of chronic conditions and other authors have suggested the implementation of new communication architectures based on services (SOA) [19].…”

Section: Introductionmentioning

confidence: 99%