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Projeto de investigação
Citizen-centred EU-EHR exchange for personalised health
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Bio-data collection for a community adaptative work-life balance
Publication . Seixas-Lopes, Fábio A.; Lopes, Carlos; Marques, Maria; Agostinho, Carlos; CTS - Centro de Tecnologia e Sistemas; UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
With increasing competition and the contemporary multitude of health and wellbeing applications, technology has been continuously challenged to innovate and adapt to increasing usage and complexity. In a growing Internet of Things environment, wearables are everyday use communicating devices able to measure and generate valuable data that can provide insights about a person's physical condition and habits. Ranging from health-related indicators such as blood pressure and heart rate, to more fitness-related values such as steps and calories, these devices are able to collect a considerable amount of data that needs to be filtered, processed and presented to the user with helpful conclusions. This data can be interpreted with a special concern about work-life balance, and to generate community engagement, either in a work or social setting, enabling more user participation and providing dynamic indicators. Citizen Hub is a mobile solution to integrate data from wearables and medical devices, providing features that allow monitoring and managing habits that can greatly impact health and wellbeing. In this paper, insights about work-life balance are explored using Citizen Hub in two different settings, MyWork and MyTime, with the objective of delivering a dynamic and adaptative technological solution for community engagement in a healthy and balanced lifestyle.
Musculoskeletal Disorder (MSD) Health Data Collection, Personalized Management and Exchange Using Fast Healthcare Interoperability Resources (FHIR)
Publication . Lopes, Fábio Adriano Seixas; Lopes, Carlos; Marques, Maria; Agostinho, Carlos; Jardim-Goncalves, Ricardo; DEE - Departamento de Engenharia Electrotécnica e de Computadores; CTS - Centro de Tecnologia e Sistemas; UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias; MDPI - Multidisciplinary Digital Publishing Institute
With the proliferation and growing complexity of healthcare systems emerges the challenge of implementing scalable and interoperable solutions to seamlessly integrate heterogenous data from sources such as wearables, electronic health records, and patient reports that can provide a comprehensive and personalized view of the patient’s health. Lack of standardization hinders the coordination between systems and stakeholders, impacting continuity of care and patient outcomes. Common musculoskeletal conditions affect people of all ages and can have a significant impact on quality of life. With physical activity and rehabilitation, these conditions can be mitigated, promoting recovery and preventing recurrence. Proper management of patient data allows for clinical decision support, facilitating personalized interventions and a patient-centered approach. Fast Healthcare Interoperability Resources (FHIR) is a widely adopted standard that defines healthcare concepts with the objective of easing information exchange and enabling interoperability throughout the healthcare sector, reducing implementation complexity without losing information integrity. This article explores the literature that reviews the contemporary role of FHIR, approaching its functioning, benefits, and challenges, and presents a methodology for structuring several types of health and wellbeing data, that can be routinely collected as observations and then encapsulated in FHIR resources, to ensure interoperability across systems. These were developed considering health industry standard guidelines, technological specifications, and using the experience gained from the implementation in various study cases, within European health-related research projects, to assess its effectiveness in the exchange of patient data in existing healthcare systems towards improving musculoskeletal disorders (MSDs).
Sensor network integration for a medical device using CDG
Publication . Delgado-Gomes, Vasco; Januario, Fabio; Vilhena, Nuno; Marques, Maria; Jardim-Gonçalves, Ricardo; UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias; CTS - Centro de Tecnologia e Sistemas; DEE - Departamento de Engenharia Electrotécnica e de Computadores; DEE2010-C1 Sistemas Digitais e Percepcionais
The weakness of the deep layer of lumbar or cervical spine muscles (so-called multifidus muscles) is among the most common causes for backpain. Frequent testing and measurements over a 20 years period of time showed a common weakness of this particular muscle group in more than 70% of investigated persons. Following a routine training has demonstrated an effective improvement in low back health. The Smart4Health project aims at empowering EU Citizens with an interoperable and exchangeable European Electronic Health Record (EHR) that will allow EU citizens to be active participants in managing their own health. As part of project activities, Smart4Health will upgrade existing physiotherapy devices with real-Time measurements and connectivity capabilities, meeting new medical device regulations. Force and angle sensors measurement technology will be connected and integrated in the Smart4Health framework, enabling the patient with a real-Time performance visualization and the treatment data upload for a secure cloud. The clinicians can then keep track of the patient treatment and made the necessary adjustments (if needed). The physiotherapy device and its sensors are connected over a secure network, enabling the data collection of health-related data. Moreover, an intelligent sensors network collecting citizen health and wellbeing data, adds information to citizen's EHR.
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Entidade financiadora
European Commission
Programa de financiamento
H2020
Número da atribuição
826117