© Borgis - New Medicine 1/2013, s. 28-30
*Mihály Dió1, Tibor Deutsch1, Judit Mészáros2
Conceptual design of an intelligent ‘telediabetology” system
1Department of Medical Imaging and Technology, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary
Head of Department: Éva Kis, PhD
2Faculty of Health Sciences, Semmelweis University, Budapest, Hungary
Dean of the Faculty of Health Sciences: Prof. Judit Mészáros, PhD
The widespread adoption of information-communication technology in everyday life including the Internet and mobile phones provides a great opportunity to improve the organisation of Diabetes Mellitus (DM) care delivery. This paper presents the conceptual design of an intelligent information system to provide tele-monitoring and tele-care services for insulin-treated diabetic patients twenty four hours per day at the point and time where and when it is needed. The proposed system supports a new visit form called virtual visit during which the patient contacts a computer program instead of a real doctor or nurse for assistance, guidance or advice. In addition to patient self-management, health care personnel are also supported by a wide range of information management and decision support services. We expect that the new architecture shall improve efficiency, patient satisfaction and health results.
Diabetes management is far from having reached the desired therapeutic targets. To the contrary, because of the increase of DM prevalence, ageing population and health care costs the current situation shall become worse (1). Several difficulties are consequences of inadequate information management and problem solving.
Traditionally patients and providers communicate during personal encounters called contact visits. Between those visits, however, diabetic patients make hundreds of choices each day but patients lack the knowledge and/or motivation to manage themselves as required. To enable patients to be effective self-managers of their diabetes, they need to be provided with the information and support necessary to make informed decisions day and night. Similarly, between two subsequent visits care providers do not know what is happening to their patients. Clearly they should be notified about impending or actual problems to enable timely feedback or action.
To improve patient safety and also the efficiency and quality of diabetes care, several chronic care models have been developed. These include the ‘self-management” and ‘collaborative management” models (2). The widespread adoption of ICT in everyday life, including the Internet and mobile phones, is providing a great opportunity to improve the organisation of DM care delivery (3-6). Several tele-medicine systems have been published in the literature (7, 8).
Aim of the study
We intend to develop an intelligent information system, which provides comprehensive tele-monitoring and tele-care services for insulin-treated diabetic patients day and night. Patients” home monitoring and life style data are continuously monitored/interpreted and the management team (including the patient) is informed/assisted in the decision making process. The system incorporates a novel chronic care model in which traditional face to face (contact) visits are supplemented by automatic and on-demand virtual visits (9). During such virtual visits patients contact an intelligent agent (computer program) instead of a real doctor/nurse for assistance, guidance or advice. Such intelligent agents serve as a partner in intensive management utilising automated alerts, reminders, reports, advices or guides just-in-time coaches.
The system is composed of three major units. The patient unit (PU) is able to acquire data and provide first-level advice to the patient. The patient unit also facilitates interaction with the health care centre, by automatically uploading data and receiving back any therapeutic plan supplied by the physician or the intelligent system. Portable wireless devices are used in automating data collection. On the patient”s side the mobile phone uses Bluetooth technology and therefore acts as a hub for a wireless network, possibly including several devices (e.g. balance, blood pressure monitor, step-counter, etc.) in addition to the glucometer.
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