Modern and integrated techniques for medical information management, interfaces, interaction and medical decision support systems

Informationen zur Lehrveranstaltung
TitelΣύγχρονες και ολοκληρωμένες τεχνικές διαχείρισης ιατρικής πληροφορίας, διεπαφές, διάδραση και συστήματα στήριξης αποφάσεων / Modern and integrated techniques for medical information management, interfaces, interaction and medical decision support systems
CodeΙΠΓ002
Interdepartmental ProgrammeDtPMS Iatrikī Plīroforikī (2019-sīmera)
Collaborating Schools

Cycle / Level2. Magisterstudiengang
SemesterWinter
CoordinatorDimitrios Zarpalas
CommonNein
StatusAktiv
Course ID600004411

Studienplan: DtPMS Iatrikī Plīroforikī (2019-sīmera)

Registered students: 0
FachrichtungForm des KursbesuchsSemesterJahrECTS
KORMOSYPOCΗREŌTIKO328

Informationen zur Veranstaltung
Akademisches Jahr2018 – 2019
KurslehrdauerWinter
Faculty Instructors
Instructors from Other Categories
Weekly Hours2
Class ID
600133407
Course Type 2016-2020
  • Wissenschaftlicher Fachbereich
  • Entwicklung von Fertigkeiten
Veranstaltungstyp
  • Persönliche Anwesenheit
Elektronischer Zugang zu Unterrichtsmaterialien
Sprache
  • Griechisch (Lehre, Prüfung)
Prerequisites
Required Courses
  • ΙΠΑ001 Functional systems anatomy and morphology
  • ΙΠΑ002 Systems Physiology
  • ΙΠΑ004 Mathematics, programming techniques and design principles of medical information systems
  • ΙΠΒ001 Bio-data and applications - Bioinformatics
  • ΙΠΒ004 Biomedical signal processing
  • ΙΠΒ003 Biomedical image processing
  • ΙΠΒ002 Networks and Internets
Allgemeine Kompetenzen
  • Anwendung des Wissens in der Praxis
  • Recherche, Analyse und Verarbeitung von Daten und Informationen mittels der Verwendung technologischer Medien
  • Anpassung an neue Situationen
  • Entscheidungsfähigkeit
  • Autonomes Arbeiten
  • Gruppenarbeit
  • Arbeit in einem internationalen Umfeld
  • Arbeit in einem multidisziplinären Umfeld
  • Produktion von neuen Forschungsideen
  • Planung und Projektmanagement
  • Förderung des freien, kreativen und induktiven Denkens
Lehrmaterialien
  • Buch
  • Skript
  • Audio
  • Multimedia-Materialien
Einsatz von Informations- und Kommunikationstechnologie
IKT-Nutzung
  • Einsatz von IKT in der Lehre
  • Einsatz von IKT in der Laborausbildung
  • Einsatz von IKT in der Bewertung der Studierenden
Unterrichtsorganisation
ActivitiesArbeitsbelastungECTSEinzelarbeitGruppenarbeitErasmus
Vorlesungen1605.3
Projekt501.7
Erstellen einer Arbeit / v. Arbeiten301
Total2408
Bewertung der Studierenden
Beschreibung des Verfahrens
  • Schriftliche Prüfung mit Problemlösung (Endnote)
  • Öffentliche Präsentation (Endnote)
  • Sonstiges / Sonstige (Endnote)
Empfohlene Bibliographie
zum Kurs (Eudoxos)
Μη διαθέσιμη. Οι παρουσιάσεις συνοδεύονται από σύγχρονες βιβλιογραφικές πηγές όπως review paper, case studies και tutorial (βλπ. β. Επιπρόσθετη βιβλιογραφία για μελέτη).
Weitere Bibliographie
P. Natsiavas, J. Rasmussen, M. Voss-Knude, Κ. Votis, L. Coppolino, P. Campegiani, I. Cano, D. Marí, G. Faiella, F. Clemente, M. Nalin, E. Grivas, O. Stan, E. Gelenbe, J. Dumortier, J. Petersen, D. Tzovaras, L. Romano, I. Komnios and V. Koutkias, “Comprehensive user requirements engineering methodology for secure and interoperable health data exchange”, BMC Medical Informatics and Decision Making, 2018, https://doi.org/10.1186/s12911-018-0664-0. M. Staffa, L. Sgaglione, G. Mazzeo, L. Coppolino, S. D'Antonio, L. Romano, E. Gelenbe, O. Stan, S. Carpov, E. Grivas, P. Campegiani, L. Castaldo, K. Votis, V. Koutkias, and I. Komnios, “An OpenNCP-based Solution for Secure eHealth Data Exchange”, Journal of Network and Computer Applications, vol. 116, no. 15, 2018, pp. 65–85, https://doi.org/10.1016/j.jnca.2018.05.012. P. Natsiavas, R.D. Boyce, M.-C. Jaulent, and V. Koutkias, “OpenPVSignal: Advancing Information Search, Sharing and Reuse on Pharmacovigilance Signals via FAIR Principles and Semantic Web Technologies”, Frontiers in Pharmacology, 2018, https://doi.org/10.3389/fphar.2018.00609. V.G. Koutkias, A. Lillo-Le Louët and M.-C. Jaulent, "Exploiting Heterogeneous Publicly Available Data Sources for Drug Safety Surveillance: Computational Framework and Case Studies", Expert Opinion on Drug Safety, 2016, http://dx.doi.org/10.1080/14740338.2017.1257604. V.G. Koutkias and M.-C. Jaulent, "A Multiagent System for Integrated Detection of Pharmacovigilance Signals", Journal of Medical Systems, Special Issue on Agent-Empowered HealthCare Systems, vol. 40, no. 2, Article: 37, 2016, http://dx.doi.org/10.1007/s10916-015-0378-0. V.G. Koutkias and M.-C. Jaulent, "Computational Approaches for Pharmacovigilance Signal Detection: Toward Integrated and Semantically-enriched Frameworks", Drug Safety, vol. 38, no. 3, 2015, pp. 219-232, http://dx.doi.org/10.1007/s40264-015-0278-8. V.G. Koutkias et al., "From Adverse Drug Event Detection to Prevention: A Novel Clinical Decision Support Framework for Medication Safety", Methods of Information in Medicine, vol. 53, no. 6, 2014, pp. 482-492, https://dx.doi.org/10.3414/ME14-01-0027. V. Koutkias et al., "Knowledge Engineering for Adverse Drug Event Prevention: On the Design and Development of a Uniform, Contextualized and Sustainable Knowledge-based Framework", Journal of Biomedical Informatics, vol. 45, no. 3, 2012, pp. 495-506http://dx.doi.org/10.1016/j.jbi.2012.01.007. M. Schachter, "The epidemiology of medication errors: how many, how serious?", Br. J. Clin. Pharmacol. 67 (6) (2009) 621–623. T. Morimoto, T.K. Gandhi, A.C. Seger, T.C. Hsieh, D.W. Bates, "Adverse drug events and medication errors: detection and classification methods", Qual. Saf. Health Care 13 (4) (2004) 306–314. K.B. Cohen and L.E. Hunter, "Chapter 16: Text mining for translational bioinformatics", PLOS Computational Biology, http://dx.plos.org/10.1371/journal.pcbi.1003044. P.M. Nadkarni, L. Ohno-Machado, W.W. Chapman, "Natural language processing: an introduction", J Am Med Inform Assoc. 2011 Sep-Oct; 18(5): 544–551. W.W. Chapman et al., "Overcoming barriers to NLP for clinical text – The role of shared tasks and the need for additional creative solutions", J Am Med Inform Assoc. 2011 Sep-Oct;18(5):540-3. I. Spasic, S. Ananiadou, J. McNaught and A. Kumar, "Text mining and ontologies in biomedicine: Making sense of raw text", Brief Bioinform. 2005 Sep;6(3):239-51. A.K. Triantafyllidis, C. Velardo, D. Salvi, S. Ahmar Shah, V.G. Koutkias and L. Tarassenko, "A Survey of Mobile Phone Sensing, Self-reporting and Social Sharing for Pervasive Healthcare", IEEE Journal of Biomedical and Health Informatics, vol 21. no. 1, 2017, pp. 218-227, http://dx.doi.org/10.1109/JBHI.2015.2483902 V. Koutkias, N. Kaklanis, K. Votis, D. Tzovaras and N. Maglaveras, "An Integrated Semantic Framework Supporting Universal Accessibility to ICT", Universal Access in the Information Society, vol. 15, no. 1, 2016, pp. 49-62, http://dx.doi.org/10.1007/s10209-014-0372-1. A.K. Triantafyllidis, V.G. Koutkias, I. Chouvarda and N. Maglaveras, "A Pervasive Health System Integrating Patient Monitoring, Status Logging and Social Sharing", IEEE Journal of Biomedical and Health Informatics, vol. 17, no. 1, 2013, pp. 30-37, http://dx.doi.org/10.1109/TITB.2012.2227269. M. Jung, A. Hoerbst, W.O. Hackl, F. Kirrane, D. Borbolla, M.W. Jaspers, M. Oertle, V. Koutkias, L. Ferret, P. Massari, K. Lawton, D. Riedmann, S. Darmoni, N. Maglaveras, C. Lovis and E. Ammenwerth, "Attitude of physicians towards automatic alerting in Computerized Physician Order Entry systems: A comparative international survey", Methods of Information in Medicine, vol. 52, no. 2, 2013, pp. 99-108, http://www.schattauer.de/index.php?id=5236&mid=19022&L=1. V.G. Koutkias, I. Chouvarda and N. Maglaveras, "A Multiagent System Enhancing Home-Care Health Services for Chronic Disease Management", IEEE Transactions on Information Technology in Biomedicine, vol. 9, no. 4, December 2005, pp. 528-537, http://dx.doi.org/10.1109/TITB.2005.847511. V.G. Koutkias, I. Chouvarda, A. Triantafyllidis, A. Malousi, G.D. Giaglis, and N. Maglaveras, "A Personalized Framework for Medication Treatment Management in Chronic Care", IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 2, 2010, pp. 464-472, http://dx.doi.org/10.1109/TITB.2009.2036367. P. Natsiavas, N. Maglaveras and V. Koutkias, "A Public Health Surveillance Platform Exploiting Free-text Sources via Natural Language Processing and Linked Data: Application in Adverse Drug Reaction Signal Detection using PubMed and Twitter", In: Riaño D., Lenz R., Reichert M. (Eds.), Knowledge Representation for Health Care. KR4HC 2016, ProHealth 2016. Lecture Notes in Computer Science, vol. 10096, pp. 51-67, Springer, 2017. N. Maglaveras, V. Kilintzis, V. Koutkias and I. Chouvarda, "Integrated Care and Connected Health Approaches Leveraging Personalised Health through Big Data Analytics", Studies in Health Technology and Informatics, Vol. 224, pp. 117-122, IOS Press, 2016. J. Bouaud and V. Koutkias, "Computerized Clinical Decision Support: contributions from 2014", Yearb Med Inform. 2015;10:119-124. http://dx.doi.org/10.15265/IY-2015-036. V. Koutkias and J. Bouaud, “Computerized Clinical Decision Support: contributions from 2015”, Yearb Med Inform. 2016;11:170-177. https://doi.org/10.15265/IY-2016-055. V. Koutkias and J. Bouaud, “Contributions from the 2016 Literature on Clinical Decision Support”, Yearb Med Inform. 2017;12:133-138. https://doi.org/10.15265/IY-2017-031. V. Koutkias and J. Bouaud, “Contributions from the 2017 Literature on Clinical Decision Support”, Yearb Med Inform. 2018;13:122-128. http://dx.doi.org/10.1055/s-0038-1641222. V. Koutkias and F. Thiessard, "Big Data - Smart Health Strategies: Findings from the Yearbook 2014 Special Theme", Yearb Med Inform. 2014;9:48-51. doi: 10.15265/IY-2014-0031. K. Vaporidi, D. Babalis, A. Chytas, E. Lilitsis, E. Kondili, V. Amargianitakis, I. Chouvarda, N. Maglaveras and D. Georgopoulos, "Clusters of ineffective efforts during mechanical ventilation: impact on outcome", Intensive Care Med. 2016 Oct 24. DOI: 10.1007/s00134-016-4593-z.
Last Update
20-11-2018