• Access of stroke patients' to optimal healthcare technology in Greece: Messages to policy makers 

      Siskou O., Korompoki E., Ntaios G., Tsampalas E., Alexopoulou H., Kalliontzakis I., Kouridaki A., Tountopoulou A., Kouzi I., Vasilopoulou S., Milionis H., Evaggelou H., Karagkiozi E., Hatzitolios A.I., Savopoulos C., Myrou A., Manios E., Mavraganis G., Vemmou A., Kaitelidou D., Galanis P., Papastefanatos S., Konstantakopoulou O., Karagkouni I., Vemmos K. (2020)
      The aim of this study was to evaluate accessibility of stroke patients to optimal healthcare technology in Greece. Methods: The study population consisted of 313 first ever stroke patients derived from the 'Stroke Units ...
    • Atlantes: Automated Health Related & COVID-19 Data Management for Use in Predictive Models 

      Vangelatos G., Karanikas H., Tasoulis S. (2022)
      The scientific community, having turned its interest, almost entirely, to the treatment and understanding of COVID-19, is constantly striving to collect and use data from the countless available sources. That data, however, ...
    • Chios Hospital Information System Assessment 

      Karitis K., Gallos P., Triantafyllou I.S., Plagianakos V. (2021)
      A very important aspect for organizations that provide healthcare services is to have fully functional and successful information systems. A successful hospital information system can contribute to high quality healthcare ...
    • A comparative assessment of machine learning algorithms for events detection 

      Tsoukas V., Kolomvatsos K., Chioktour V., Kakarountas A. (2019)
      Nowadays, one can observe massive amount of data production by numerous devices interacting with their environment and end users. [1] Such data can be the subject of advanced processing usually through machine learning ...
    • Constructive Fuzzy Cognitive Map for Depression Severity Estimation 

      Sovatzidi G., Vasilakakis M., Iakovidis D.K. (2022)
      Depression is a common and serious medical disorder that negatively affects the mood and the emotions of people, especially adolescents. In this paper, a novel framework for automatically creating Fuzzy Cognitive Maps ...
    • Developing patients' experiences database after hospital discharge: Another step in improving stroke care 

      Konstantakopoulou O., Galanis P., Kaitelidou D., Karagkouni I., Korompoki E., Ntaios G., Vemmos K., Papastefanatos S., Papastefanatos G., Tsampalas E., Alexopoulou H., Kalliontzakis I., Kouridaki A., Tountopoulou A., Kouzi I., Milionis H., Evaggelou C., Karagkiozi E., Hatzitolios A.I., Savopoulos C., Myrou A., Mavraganis G., Vemmou A., Siskou O. (2020)
      The aim of this study was to assess stroke patients' experiences in regards to hospital stay and during discharge. A cross-sectional study with retrospective data collection was conducted including patients (n=135) with ...
    • Moving Towards a Blockchain-Based Healthcare Information System 

      Balis C., Tagopoulos I., Dimola K. (2019)
      One of the major problems that a national health system face is the lack of a unified clinical data management. In Greece, the critical and sensitive medical data generated during a patient lifetime are fragmented in one ...
    • An Online Information Tool for Diabetic Retinopathy 

      Agriodimos G., Gallos P., Tasoulis S., Anagnostopoulos I. (2021)
      Regardless of the type of diabetes, patients with diabetes are 25 times more likely to develop vision problems or even blindness than non-diabetics. Diabetic Retinopathy is the most common cause of new cases of blindness ...
    • Physicians' and pharmacists' opinions regarding the E-prescription systems 

      Nikou G., Gallos P. (2020)
      The e-Prescription systems are modern and efficient prescribing tools which can affect the quality of the healthcare services. The aim of this study is to evaluate the e-Prescription systems in Greece based the users' ...
    • A Smart Infotainment System Equiped with Emotional Intelligence 

      Panagopoulos C., Menychtas A., Fouskas G., Plagianakos V., Maglogiannis I., Delimpasis K., Galliakis M., Petropoulos D., Gkartzios C., Koumpoulis C. (2019)
      Bedside infotainment technology has been gaining popularity, helping providers to address patient needs and improve hospitalization experience. Such systems have the potential to become valuable tools for medical and nursing ...
    • Sun4Patients web platform: Facilitating long-term monitoring of stroke patients 

      Papastefanatos G., Papastefanatos S., Korompoki E., Galanis P., Konstantakopoulou O., Karagkouni I., Gallos P., Ntaios G., Vemmos K., Siskou O. (2020)
      SUN4Patients is an observational study for the monitoring of patients with first ever acute stroke. For the support of this study, an online platform has been developed which facilitates the collection of various information ...