An Ontology for Telemedicine Systems Resiliency to Technological Context Variations in Pervasive Healthcare.

Clinical data are crucial for any medical case to study and understand a patient's condition and to give the patient the best possible treatment. Pervasive healthcare systems apply information and communication technology to enable the usage of ubiquitous clinical data by authorized medical persons. However, quality of clinical data in these applications is, to a large extent, determined by the technological context of the patient. A technological context is characterized by potential technological disruptions that affect optimal functioning of technological resources. The clinical data based on input from these technological resources can therefore have quality degradations. If these degradations are not noticed, the use of this clinical data can lead to wrong treatment decisions, which potentially puts the patient's safety at risk. This paper presents an ontology that specifies the relation among technological context, quality of clinical data, and patient treatment. The presented ontology provides a formal way to represent the knowledge to specify the effect of technological context variations in the clinical data quality and the impact of the clinical data quality on a patient's treatment. Accordingly, this ontology is the foundation for a quality of data framework that enables the development of telemedicine systems that are capable of adapting the treatment when the quality of the clinical data degrades, and thus guaranteeing patients' safety even when technological context varies.

Mobile patient monitoring: the MobiHealth system.

The forthcoming wide availability of high bandwidth public wireless networks will give rise to new mobile health care services. Towards this direction the MobiHealth project has developed and trialed a highly customisable vital signals' monitoring system based on a Body Area Network (BAN) and an m-health service platform utilizing next generation public wireless networks. The developed system allows the incorporation of diverse medical sensors via wireless connections, and the live transmission of the measured vital signals over public wireless networks to healthcare providers. Nine trials with different health care cases and patient groups in four different European countries have been conducted to test and verify the system, the service and the network infrastructure for its suitability and the restrictions it imposes to mobile health care applications.

Wireless body area networks for healthcare: the MobiHealth project.

The forthcoming wide availability of high bandwidth public wireless networks will give rise to new mobile health care services. Towards this direction the MobiHealth project has developed and trialed a highly customisable vital signals' monitoring system based on a Body Area Network (BAN) and an m-health service platform utilizing next generation public wireless networks. The developed system allows the incorporation of diverse medical sensors via wireless connections, and the live transmission of the measured vital signals over public wireless networks to healthcare providers. Nine trials with different health care cases and patient groups in four different European countries have been conducted to test and verify the system, the service and the network infrastructure for its suitability and the restrictions it imposes to mobile health care applications.

MobiHealth: ambulant patient monitoring over next generation public wireless networks.

The wide availability of high bandwidth public wireless networks as well as the miniaturisation of medical sensors and network access hardware allows the development of advanced ambulant patient monitoring systems. The MobiHealth project developed a complete system and service that allows the continuous monitoring of vital signals and their transmission to the health care institutes in real time using GPRS and UMTS networks. The MobiHealth system is based on the concept of a Body Area Network (BAN) allowing high personalization of the monitored signals and thus adaptation to different classes of patients. The system and service has been trialed in four European countries and for different patient cases. First results confirm the usefulness of the system and the advantages it offers to patients and medical personnel.

Experience with Using the Sensewear BMS Sensor System in the Context of a Health and Wellbeing Application.

An assessment of a sensor designed for monitoring energy expenditure, activity, and sleep was conducted in the context of a research project which develops a weight management application. The overall goal of this project is to affect sustainable behavioural change with respect to diet and exercise in order to improve health and wellbeing. This paper reports results of a pretrial in which three volunteers wore the sensor for a total of 11 days. The aim was to gain experience with the sensor and determine if it would be suitable for incorporation into the ICT system developed by the project to be trialled later on a larger population. In this paper we focus mainly on activity monitoring and user experience. Data and results including visualizations and reports are presented and discussed. User experience proved positive in most respects. Exercise levels and sleep patterns correspond to user logs relating to exercise sessions and sleep patterns. Issues raised relate to accuracy, one source of possible interference, the desirability of enhancing the system with real-time data transmission, and analysis to enable real-time feedback. It is argued that automatic activity classification is needed to properly analyse and interpret physical activity data captured by accelerometry.

Modeling the vagus nerve system with the Unified Modeling Language.

Traditionally, the means of describing anatomical and physiological structures of the autonomic nervous system is natural language, drawings and images as represented in the scientific literature. In behavioral studies of this system, mathematical and electrical models and computer simulation tools are in use. In this article, we propose the use of the Unified Modeling Language to describe and specify the anatomical and physiological structures and indicate how these can be enriched to capture the behavioral view as well. Using the metamodel facilities of the language, we propose a domain specific language that captures the domain concepts, their relationships and constraints. Application of the language is demonstrated by modeling the vagus nerve in part.

The myofeedback-based teletreatment system and its evaluation.

The myofeedback-based teletreatment system allows patients to receive tactile and/or visual feedback on muscle activity and muscle relaxation times. Health-care professionals can analyse muscle activity and muscle relaxation times and provide guidance to the patient on the course of treatment. The system was evaluated in a small clinical trial. Qualitative data were obtained by interviews and visual inspection of graphical patient data during the trial. Quantitative data were based on post-trial data analysis. We used a revised version of the information systems success model to evaluate the teletreatment system, and focused on the success categories of system use and user satisfaction. The evaluation found good input data quality, system quality and information quality. Both system use and user satisfaction were good. Thus the teletreatment system appears suitable for small scale clinical deployment. However, the sensory components suffered from heavy use and embedded software problems which made them unreliable. Large scale deployment requires improvement in terms of durability and reliability of the system's sensors.

A scenario guideline for designing new teletreatments: a multidisciplinary approach.

Lack of user acceptance of telemedicine services is an important barrier to deployment and stresses the need for involving users, i.e. medical professionals. However, the involvement of users in the service development process of telemedicine services is difficult because of (a) the knowledge gap between the expertise of medical and technical experts; (b) the language gap, i.e. the use of different terminologies between the medical and the technical professions; and (c) the methodological gap in applying requirement methods to multidisciplinary scientific matters. We have developed a guideline in which the medical and technical domains meet. The guideline can be used to develop a scenario from which requirements can be elicited. In a retrospective analysis of a myofeedback-based teletreatment service, the technically-oriented People-Activities-Context-Technology (PACT) framework and medically-oriented principles of evidence-based medicine were incorporated into a guideline. The guideline was developed to construct the content of a scenario which describes the new teletreatment service. This allows the different stakeholders to come together and develop the service. Our approach provides an arena for different stakeholders to take part in the early stages of the design process. This should increase the chance of user acceptance and thus adoption of the service being developed.