S
Sokratis Nifakos
Researcher at Karolinska Institutet
Publications - 19
Citations - 272
Sokratis Nifakos is an academic researcher from Karolinska Institutet. The author has contributed to research in topics: Computer science & Augmented reality. The author has an hindex of 5, co-authored 15 publications receiving 136 citations.
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Journal ArticleDOI
Mobile Digital Education for Health Professions: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration.
Gerard Dunleavy,Charoula Konstantia Nikolaou,Sokratis Nifakos,Rifat Atun,Gloria C Law,Lorainne Tudor Car,Lorainne Tudor Car +6 more
TL;DR: The evidence base suggests that mLearning is as effective as traditional learning or possibly more so, and provides encouraging early evidence to strengthen efforts aimed at expanding health professions education using mobile devices in order to help tackle the global shortage of health professionals.
Journal ArticleDOI
Influence of Human Factors on Cyber Security within Healthcare Organisations: A Systematic Review.
Sokratis Nifakos,Krishna Chandramouli,Charoula Konstantina Nikolaou,Panagiotis Papachristou,Sabine Koch,Emmanouil Panaousis,Stefano Bonacina +6 more
TL;DR: A systematic review of the literature on the evolving nature of cybersecurity threats stemming from exploiting IT infrastructures to more advanced attacks launched with the intent of exploiting human vulnerability addresses the complexity of cybersecurity measures adopted within the healthcare and clinical environments.
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Videos as learning objects in MOOCs: A study of specialist and non‐specialist participants' video activity in MOOCs.
TL;DR: The findings indicate that while age and educational background impacts the level of video activity, there is no significant difference between specialists and non‐specialists, and it is concluded that the MOOC format may be suited to non-specialist groups, allowing them to self‐direct their learning and utilise videos as educational resources.
Journal ArticleDOI
Aggregating the syntactic and semantic similarity of healthcare data towards their transformation to HL7 FHIR through ontology matching.
TL;DR: The developed mechanism creates new opportunities in conquering the field of healthcare interoperability, however, according to the mechanism's evaluation results, it is almost impossible to create syntactic or semantic patterns for understanding the nature of a healthcare dataset.
Journal ArticleDOI
The CrowdHEALTH project and the Hollistic Health Records: Collective Wisdom Driving Public Health Policies.
Dimosthenis Kyriazis,Serge Autexier,Michael Boniface,Vegard Engen,Ricardo Jiménez-Peris,Blanca Jordan,Gregor Jurak,Athanasios Kiourtis,Thanos Kosmidis,Mitja Luštrek,Ilias Maglogiannis,John Mantas,Antonio Martínez,Argyro Mavrogiorgou,Andreas Menychtas,Lydia Montandon,Cosmin-Septimiu Nechifor,Sokratis Nifakos,Alexandra Papageorgiou,Marta Patiño-Martínez,Manuel Perez,Vassilis P. Plagianakos,Dalibor Stanimirovic,Gregor Starc,Tanja Tomson,Francesco Torelli,Vicente Traver-Salcedo,George Vassilacopoulos,Andriana Magdalinou,Usman Wajid +29 more
TL;DR: A holistic approach for capturing all health determinants in the proposed HHRs, while creating clusters of them to exploit collective knowledge with the aim of the provision of insight for different population segments according to different factors was presented.