An Integrated Platform for Skin Cancer Heterogenous and Multilayered Data Management.

Electronic health record (EHR) systems improve health care services by allowing the combination of health data with clinical decision support features and clinical image analyses. This study presents a modular and distributed platform that is able to integrate and accommodate heterogeneous, multidim...

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Publicado en:Journal of Medical Systems Vol. 45; no. 1; pp. 1 - 14
Autores principales: Maglogiannis, Ilias, Kontogianni, Georgia, Papadodima, Olga, Karanikas, Haralampos, Billiris, Antonis, Chatziioannou, Aristotelis
Formato: pictorial tables/charts Journal Article
Publicado: Springer Nature 2021
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        10.1007/s10916-020-01679-3
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          Maglogiannis, Ilias
          Kontogianni, Georgia
          Papadodima, Olga
          Karanikas, Haralampos
          Billiris, Antonis
          Chatziioannou, Aristotelis
        affil: Department of Digital Systems, University of Piraeus, 126 Grigoriou Lambraki, 18534, Piraeus, Greece
      sug:
        subj:
          Skin Neoplasms
          Data Management
          Melanoma
          Decision Support Systems, Clinical
          Cancer Patients
          Electronic Health Records
          Conceptual Framework
          Health Services
      ab: Electronic health record (EHR) systems improve health care services by allowing the combination of health data with clinical decision support features and clinical image analyses. This study presents a modular and distributed platform that is able to integrate and accommodate heterogeneous, multidimensional (omics, histological images and clinical) data for the multi-angled portrayal and management of skin cancer patients. The proposed design offers a layered analytical framework as an expansion of current EHR systems, which can integrate high-volume molecular -omics data, imaging data, as well as relevant clinical observations. We present a case study in the field of dermatology, where we attempt to combine the multilayered information for the early detection and characterization of melanoma. The specific architecture aspires to lower the barrier for the introduction of personalized therapeutic approaches, towards precision medicine. The paper describes the technical issues of implementation, along with an initial evaluation of the system and discussion.
      pubtype: Academic Journal
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        tables/charts
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      ougenre: Article
    language: English
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