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  1. Article: Analysis of Pharmaceutical Companies' Social Media Activity during the COVID-19 Pandemic and Its Impact on the Public.

    Gyftopoulos, Sotirios / Drosatos, George / Fico, Giuseppe / Pecchia, Leandro / Kaldoudi, Eleni

    Behavioral sciences (Basel, Switzerland)

    2024  Volume 14, Issue 2

    Abstract: The COVID-19 pandemic, a period of great turmoil, was coupled with the emergence of an "infodemic", a state when the public was bombarded with vast amounts of unverified information from dubious sources that led to a chaotic information landscape. The ... ...

    Abstract The COVID-19 pandemic, a period of great turmoil, was coupled with the emergence of an "infodemic", a state when the public was bombarded with vast amounts of unverified information from dubious sources that led to a chaotic information landscape. The excessive flow of messages to citizens, combined with the justified fear and uncertainty imposed by the unknown virus, cast a shadow on the credibility of even well-intentioned sources and affected the emotional state of the public. Several studies highlighted the mental toll this environment took on citizens by analyzing their discourse on online social networks (OSNs). In this study, we focus on the activity of prominent pharmaceutical companies on Twitter, currently known as X, as well as the public's response during the COVID-19 pandemic. Communication between companies and users is examined and compared in two discrete channels, the COVID-19 and the non-COVID-19 channel, based on the content of the posts circulated in them in the period between March 2020 and September 2022, while the emotional profile of the content is outlined through a state-of-the-art emotion analysis model. Our findings indicate significantly increased activity in the COVID-19 channel compared to the non-COVID-19 channel while the predominant emotion in both channels is joy. However, the COVID-19 channel exhibited an upward trend in the circulation of fear by the public. The quotes and replies produced by the users, with a stark presence of negative charge and diffusion indicators, reveal the public's preference for promoting tweets conveying an emotional charge, such as fear, surprise, and joy. The findings of this research study can inform the development of communication strategies based on emotion-aware messages in future crises.
    Language English
    Publishing date 2024-02-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2651997-5
    ISSN 2076-328X
    ISSN 2076-328X
    DOI 10.3390/bs14020128
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Editorial: Highlights in connected health 2021/22.

    Nair, Pradeep / Antoniou, Panagiotis Evaggelos / Pino, Esteban J / Fico, Giuseppe

    Frontiers in digital health

    2022  Volume 4, Page(s) 1066860

    Language English
    Publishing date 2022-11-23
    Publishing country Switzerland
    Document type Editorial
    ISSN 2673-253X
    ISSN (online) 2673-253X
    DOI 10.3389/fdgth.2022.1066860
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The Role of HL7 FHIR in the European Project GATEKEEPER.

    Gazzarata, Roberta / Chronaki, Catherine / Gallego, Alba / Gaeta, Eugenio / Fico, Giuseppe / Zampognaro, Paolo / Mercalli, Franco / Giuliani, Francesco / Allocca, Carlo / Cangioli, Giorgio

    Studies in health technology and informatics

    2024  Volume 310, Page(s) 1337–1338

    Abstract: The European Project GATEKEEPER aims to develop a platform and marketplace to ensure a healthier independent life for the aging population. In this platform the role of HL7 FHIR is to provide a shared logical data model to collect data in heterogeneous ... ...

    Abstract The European Project GATEKEEPER aims to develop a platform and marketplace to ensure a healthier independent life for the aging population. In this platform the role of HL7 FHIR is to provide a shared logical data model to collect data in heterogeneous living, which can be used by AI Service and the Gatekeeper HL7 FHIR Implementation Guide was created for this purpose. Independent pilots used this IG and illustrate the impact of the approach, benefit, value, and scalability.
    MeSH term(s) Health Promotion ; Data Collection ; Humans ; Aged
    Language English
    Publishing date 2024-02-15
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI231183
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Editorial: Digital health and real-world evidence in onco-hematological patients.

    Vener, Claudia / Lopez-Perez, Laura / Cabrera-Umpiérrez, Maria Fernanda / Fico, Giuseppe

    Frontiers in oncology

    2023  Volume 13, Page(s) 1330407

    Language English
    Publishing date 2023-11-14
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2023.1330407
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Experience from the Development of HL7 FHIR IG for Gatekeeper Project.

    Gazzarata, Roberta / Chronaki, Catherine / Gallego, Alba / Gaeta, Eugenio / Fico, Giuseppe / Zampognaro, Paolo / Mercalli, Franco / Giuliani, Francesco / Allocca, Carlo / Cangioli, Giorgio

    Studies in health technology and informatics

    2023  Volume 305, Page(s) 106–109

    Abstract: The GATEKEEPER (GK) Project was financed by the European Commission to develop a platform and marketplace to share and match ideas, technologies, user needs and processes to ensure a healthier independent life for the aging population connecting all the ... ...

    Abstract The GATEKEEPER (GK) Project was financed by the European Commission to develop a platform and marketplace to share and match ideas, technologies, user needs and processes to ensure a healthier independent life for the aging population connecting all the actors involved in the care circle. In this paper, the GK platform architecture is presented focusing on the role of HL7 FHIR to provide a shared logical data model to be explored in heterogeneous daily living environments. GK pilots are used to illustrate the impact of the approach, benefit value, and scalability, suggesting ways to further accelerate progress.
    MeSH term(s) Health Status ; Technology
    Language English
    Publishing date 2023-06-19
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230435
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Design and Adoption of a FHIR IG to Support a Telemonitoring Environment in Gatekeeper Project.

    Gazzarata, Roberta / Chronaki, Catherine / Ricciardi, Francesco / Giuliani, Francesco / Zampognaro, Paolo / Mercalli, Franco / Allocca, Carlo / Gaeta, Eugenio / Fico, Giuseppe / Cangioli, Giorgio

    Studies in health technology and informatics

    2023  Volume 309, Page(s) 106–110

    Abstract: Telemedicine can provide benefits in patient affected by chronic diseases or elderly citizens as part of standard routine care supported by digital health. The GATEKEEPER (GK) Project was financed to create a vendor independent platform to be adopted in ... ...

    Abstract Telemedicine can provide benefits in patient affected by chronic diseases or elderly citizens as part of standard routine care supported by digital health. The GATEKEEPER (GK) Project was financed to create a vendor independent platform to be adopted in medical practice and to demonstrate its effect, benefit value, and scalability in 8 connected medical use cases with some independent pilots. This paper, after a description of the GK platform architecture, is focused on the creation of a FHIR (Fast Healthcare Interoperability Resource) IG (Implementation Guide) and its adoption in specific use cases. The final aim is to combine conventional data, collected in the hospital, with unconventional data, coming from wearable devices, to exploit artificial intelligence (AI) models designed to evaluate the effectiveness of a new parsimonious risk prediction model for Type 2 diabetes (T2D).
    MeSH term(s) Humans ; Aged ; Electronic Health Records ; Artificial Intelligence ; Diabetes Mellitus, Type 2 ; Delivery of Health Care ; Telemedicine ; Health Level Seven
    Language English
    Publishing date 2023-10-05
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1879-8365
    ISSN (online) 1879-8365
    DOI 10.3233/SHTI230751
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Comparative study of the SleepImage ring device and polysomnography for diagnosing obstructive sleep apnea.

    Lu, Mi / Brenzinger, Lisa / Rosenblum, Lisa / Salanitro, Matthew / Fietze, Ingo / Glos, Martin / Fico, Giuseppe / Penzel, Thomas

    Biomedical engineering letters

    2023  Volume 13, Issue 3, Page(s) 343–352

    Abstract: Purpose: Supplementary information: The online version contains supplementary material available at 10.1007/s13534-023-00304-9. ...

    Abstract Purpose
    Supplementary information: The online version contains supplementary material available at 10.1007/s13534-023-00304-9.
    Language English
    Publishing date 2023-07-17
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2602422-6
    ISSN 2093-985X ; 2093-9868
    ISSN (online) 2093-985X
    ISSN 2093-9868
    DOI 10.1007/s13534-023-00304-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: HeNeCOn: An ontology for integrative research in Head and Neck cancer.

    Hernández, Liss / Estévez-Priego, Estefanía / López-Pérez, Laura / Fernanda Cabrera-Umpiérrez, María / Arredondo, María Teresa / Fico, Giuseppe

    International journal of medical informatics

    2023  Volume 181, Page(s) 105284

    Abstract: Background: Head and Neck Cancer (HNC) has a high incidence and prevalence in the worldwide population. The broad terminology associated with these diseases and their multimodality treatments generates large amounts of heterogeneous clinical data, which ...

    Abstract Background: Head and Neck Cancer (HNC) has a high incidence and prevalence in the worldwide population. The broad terminology associated with these diseases and their multimodality treatments generates large amounts of heterogeneous clinical data, which motivates the construction of a high-quality harmonization model to standardize this multi-source clinical data in terms of format and semantics. The use of ontologies and semantic techniques is a well-known approach to face this challenge.
    Objective: This work aims to provide a clinically reliable data model for HNC processes during all phases of the disease: prognosis, treatment, and follow-up. Therefore, we built the first ontology specifically focused on the HNC domain, named HeNeCOn (Head and Neck Cancer Ontology).
    Methods: First, an annotated dataset was established to provide a formal reference description of HNC. Then, 170 clinical variables were organized into a taxonomy, and later expanded and mapped to formalize and integrate multiple databases into the HeNeCOn ontology. The outcomes of this iterative process were reviewed and validated by clinicians and statisticians.
    Results: HeNeCOn is an ontology consisting of 502 classes, a taxonomy with a hierarchical structure, semantic definitions of 283 medical terms and detailed relations between them, which can be used as a tool for information extraction and knowledge management.
    Conclusion: HeNeCOn is a reusable, extendible and standardized ontology which establishes a reference data model for terminology structure and standard definitions in the Head and Neck Cancer domain. This ontology allows handling both current and newly generated knowledge in Head and Neck cancer research, by means of data linking and mapping with other public ontologies.
    MeSH term(s) Humans ; Biological Ontologies ; Head and Neck Neoplasms/therapy ; Information Storage and Retrieval ; Semantics
    Language English
    Publishing date 2023-11-08
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 1466296-6
    ISSN 1872-8243 ; 1386-5056
    ISSN (online) 1872-8243
    ISSN 1386-5056
    DOI 10.1016/j.ijmedinf.2023.105284
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Towards a common European ethical and legal framework for conducting clinical research: the GATEKEEPER experience.

    Maccaro, Alessia / Tsiompanidou, Vasiliki / Piaggio, Davide / Gallego Montejo, Alba M / Cea Sánchez, Gloria / de Batlle, Jordi / Quesada Rodriguez, Adrian / Fico, Giuseppe / Pecchia, Leandro

    NPJ digital medicine

    2024  Volume 7, Issue 1, Page(s) 95

    Abstract: This paper examines the ethical and legal challenges encountered during the GATEKEEPER Project and how these challenges informed the development of a comprehensive framework for future Large-Scale Pilot (LSP) projects. GATEKEEPER is a LSP Project with 48 ...

    Abstract This paper examines the ethical and legal challenges encountered during the GATEKEEPER Project and how these challenges informed the development of a comprehensive framework for future Large-Scale Pilot (LSP) projects. GATEKEEPER is a LSP Project with 48 partners conducting 30 implementation studies across Europe with 50,000 target participants grouped into 9 Reference Use Cases. The project underscored the complexity of obtaining ethical approval across various jurisdictions with divergent regulations and procedures. Through a detailed analysis of the issues faced and the strategies employed to navigate these challenges, this study proposes an ethical and legal framework. This framework, derived from a comparative analysis of ethical application forms and regulations, aims to streamline the ethical approval process for future LSP research projects. By addressing the hurdles encountered in GATEKEEPER, the proposed framework offers a roadmap for more efficient and effective project management, ensuring smoother implementation of similar projects in the future.
    Language English
    Publishing date 2024-04-13
    Publishing country England
    Document type Journal Article
    ISSN 2398-6352
    ISSN (online) 2398-6352
    DOI 10.1038/s41746-024-01092-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Use of an holistic approach for effective adoption of User-Centred-Design techniques in diabetes disease management: Experiences in user need elicitation.

    Fico, Giuseppe / Arredondo, Maria Teresa

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

    2016  Volume 2015, Page(s) 2139–2142

    Abstract: One of the most important challenges of designing eHealth tools for Chronic Disease Management is to understand how transforming cutting-edge innovations in something that can impact the current clinical practice and improve the performance of the health ...

    Abstract One of the most important challenges of designing eHealth tools for Chronic Disease Management is to understand how transforming cutting-edge innovations in something that can impact the current clinical practice and improve the performance of the health care systems. The adoption of User Centered Design techniques is fundamental in order to integrate these systems in an effective and successful way. The work presented in this paper describe the methodologies used in the context of two multidisciplinary research projects, METABO and MOSAIC. The adoption of the methodologies have been driven by the CeHRes Roamap, a holistic framework that support participatory development of eHealth. The work reported in this paper describes the results of the first two (out of the five) phases in eliciting user needs.
    MeSH term(s) Diabetes Mellitus/psychology ; Diabetes Mellitus/therapy ; Diabetes Mellitus, Type 2/psychology ; Diabetes Mellitus, Type 2/therapy ; Humans ; Self Care ; Software ; Telemedicine/methods ; User-Computer Interface
    Language English
    Publishing date 2016-01-12
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2694-0604
    ISSN (online) 2694-0604
    DOI 10.1109/EMBC.2015.7318812
    Database MEDical Literature Analysis and Retrieval System OnLINE

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