TY - GEN
T1 - Acquiring the ontological representation of healthcare data through metamodeling techniques
AU - Kiourtis, Athanasios
AU - Mavrogiorgou, Argyro
AU - Kyriazis, Dimosthenis
AU - Themistocleous, Marinos
N1 - Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - The recent trends in healthcare ICT technologies promise high quality of care, whereas the variety and diversity of healthcare data increase the challenges of information exchange. With healthcare systems facing poor communication and information exchange difficulties, interoperability has become the holy grail of Health IT. While several techniques and researches are conducted to face this challenge, a global solution is still missing, as only particular scenarios are being currently addressed. This paper emphasizes on achieving semantic interoperability across multiple electronic health records (EHRs), through ontologies and Model-driven Engineering techniques. A mul-ti-stepped approach is proposed that transforms EHR datasets into syntactic models and metamodels, in order to be finally transformed into their semantic structure through a mechanism that translates them into a common ontological representation.
AB - The recent trends in healthcare ICT technologies promise high quality of care, whereas the variety and diversity of healthcare data increase the challenges of information exchange. With healthcare systems facing poor communication and information exchange difficulties, interoperability has become the holy grail of Health IT. While several techniques and researches are conducted to face this challenge, a global solution is still missing, as only particular scenarios are being currently addressed. This paper emphasizes on achieving semantic interoperability across multiple electronic health records (EHRs), through ontologies and Model-driven Engineering techniques. A mul-ti-stepped approach is proposed that transforms EHR datasets into syntactic models and metamodels, in order to be finally transformed into their semantic structure through a mechanism that translates them into a common ontological representation.
KW - Electronic Health Records
KW - Interoperability
KW - Medical standards
KW - Model-driven Engineering
KW - Ontologies
UR - https://www.scopus.com/pages/publications/85028649487
U2 - 10.1007/978-3-319-65930-5_27
DO - 10.1007/978-3-319-65930-5_27
M3 - Conference contribution
AN - SCOPUS:85028649487
SN - 9783319659299
T3 - Lecture Notes in Business Information Processing
SP - 324
EP - 336
BT - Information Systems - 14th European, Mediterranean, and Middle Eastern Conference, EMCIS 2017, Proceedings
A2 - Morabito, Vincenzo
A2 - Themistocleous, Marinos
PB - Springer Verlag
T2 - 14th European, Mediterranean, and Middle Eastern Conference on Information Systems, EMCIS 2017
Y2 - 7 September 2017 through 8 September 2017
ER -