User-centred design for developing e-Health system for renal patients at home (AppNephro).

BACKGROUND: Despite the promising benefits of the e-Health approaches (including provide technology-based healthcare services to anyone, anytime, and anywhere), few solutions are adopted in daily practice. User acceptance is one of the major obstacles that hinder the success of technology approaches. End-users often stress misalignments among their problems and the solutions that technology systems aim to solve. In other cases, systems developed are unfriendly or unadjusted to the daily practice of clinicians or patient's life. To maximize user acceptance, the relevance of adopting user-centred design and development techniques is well-known. However, users are often assumed to be a homogeneous group with the same set of requirements, what leads to an ineffective identification and addressment of user requirements. Furthermore, usability and accessibility issues must be carefully addressed to guarantee also the right alignment of solutions with user needs. OBJECTIVE: to develop an e-Health system for renal patients at home by adopting user-centred design practices, usability and accessibility standards. MATERIAL AND METHODS: users were categorized in four different groups (i.e., digital patients/caregivers, non-digital patients/caregivers, clinicians and nurses) and a sample was included in the design and development team. Questionnaires and interviews were used to identify user requirements and assess prototypes. RESULTS: Requirements were considered for every kind of user, what resulted on a multi-faceted e-Health system implying different technologies and functionalities regarding to each target user. CONCLUSION: Identification and continuous involvement of all kind of users allow their needs to be properly understood and addressed by technology, raising user acceptance of the final product.

A Machine-to-Machine protocol benchmark for eHealth applications - Use case: Respiratory rehabilitation.

BACKGROUND: M2M (Machine-to-Machine) communications represent one of the main pillars of the new paradigm of the Internet of Things (IoT), and is making possible new opportunities for the eHealth business. Nevertheless, the large number of M2M protocols currently available hinders the election of a suitable solution that satisfies the requirements that can demand eHealth applications. OBJECTIVES: In the first place, to develop a tool that provides a benchmarking analysis in order to objectively select among the most relevant M2M protocols for eHealth solutions. In the second place, to validate the tool with a particular use case: the respiratory rehabilitation. METHODS: A software tool, called Distributed Computing Framework (DFC), has been designed and developed to execute the benchmarking tests and facilitate the deployment in environments with a large number of machines, with independence of the protocol and performance metrics selected. RESULTS: DDS, MQTT, CoAP, JMS, AMQP and XMPP protocols were evaluated considering different specific performance metrics, including CPU usage, memory usage, bandwidth consumption, latency and jitter. The results obtained allowed to validate a case of use: respiratory rehabilitation of chronic obstructive pulmonary disease (COPD) patients in two scenarios with different types of requirement: Home-Based and Ambulatory. CONCLUSIONS: The results of the benchmark comparison can guide eHealth developers in the choice of M2M technologies. In this regard, the framework presented is a simple and powerful tool for the deployment of benchmark tests under specific environments and conditions.

A distributed approach to alarm management in chronic kidney disease.

This paper presents the feasibility study of using a distributed approach for the management of alarms from chronic kidney disease patients. In a first place, the key issues regarding alarm definition, classification, and prioritization according to available normalization efforts are analyzed for the main scenarios addressed in hemodialysis. Then, the middleware proposed for alarm management is described, which follows the publish/subscribe pattern, and supports the Object Management Group data distribution service (DDS) standard. This standard facilitates the real-time monitoring of the exchanged information, as well as the scalability and interoperability of the solution developed regarding the different stakeholders and resources involved. Finally, the results section shows, through the proof of concept studied, the viability of DDS for the activation of emergency protocols in terms of alarm prioritization and personalization, as well as some remarks about security, privacy, and real-time communication performance.

Ambient assisted living: a methodological approach.

In this paper, the most important challenges and trends related to the application of Ambient Assisted Living (AAL) methods and techniques to the social/healthcare context are discussed. In order to find out technical solutions to these challenges, the main methodological issues concerning the design of open and distributed architectures are analyzed. The objective is to improve the efficiency/cost ratio in the provision of social and healthcare services to citizens with special needs, through the application of new paradigms in the context of AAL environments. Finally, some results and conclusions regarding the proposed open architecture are illustrated for the case of a distributed biomedical sensor network designed by the authors following this methodology.