2023
Dias, M.; Sousa, R.; Duarte, J.; Peixoto, H.; Abelha, A.; Machado, J.
Enhancing Data Science Interoperability: An Innovative System for Managing OpenEHR Structures Proceedings Article
Em: C., Bonsangue M. M. Anutariya (Ed.): pp. 288-299, Springer Science and Business Media Deutschland GmbH, 2023, ISSN: 18650929, (cited By 0; Conference of 1st International Conference on Data Science and Artificial Intelligence, DSAI 2023 ; Conference Date: 27 November 2023 Through 29 November 2023; Conference Code:304419).
Resumo | Links | BibTeX | Etiquetas: Application programming interfaces (API); Application programs; Data Science; Decision making; Digital storage; Health care; Information systems; Information use, Data science interoperability; Development and applications; E health; Ehealth; Health information systems; Healthcare industry; Innovative systems; Openehr; Software and hardwares; Software solution, Interoperability
@inproceedings{Dias2023288,
title = {Enhancing Data Science Interoperability: An Innovative System for Managing OpenEHR Structures},
author = {M. Dias and R. Sousa and J. Duarte and H. Peixoto and A. Abelha and J. Machado},
editor = {Bonsangue M. M. Anutariya C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177871998&doi=10.1007%2f978-981-99-7969-1_21&partnerID=40&md5=19b18d908fc002f4b8eab31c03dfc5f0},
doi = {10.1007/978-981-99-7969-1_21},
issn = {18650929},
year = {2023},
date = {2023-01-01},
journal = {Communications in Computer and Information Science},
volume = {1942 CCIS},
pages = {288-299},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {The concept of e-Health is increasingly used in the healthcare industry, referring to the development and application of software and hardware solutions for efficient collection, storage, manipulation, and communication of data, to improve healthcare delivery. Data Science Interoperability is critical to create a data repository from which to implement artificial intelligence models that support the decision-making process. The lack of interoperability in Health Information Systems (HIS) has been a significant challenge. The need for systems that promote interoperability between HIS within the same institution or even between HIS from different institutions is a worldwide concern. A system that contributes to improving interoperability in healthcare through the use of the openEHR standard is proposed with this paper. The system provides a way to manipulate clinical data by creating an artifact built with React and NextJS that allows the conversion of openEHR standardized data into a JSON object. The artifact being a web application presents a new way for users to check openEHR data, while the API can be used by developers to work with openEHR data in a more accessible and supported way. The results of this research and engineering effort have been successful in presenting a new approach to implementing yet another tool to help healthcare professionals and biomedical software engineers. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.},
note = {cited By 0; Conference of 1st International Conference on Data Science and Artificial Intelligence, DSAI 2023 ; Conference Date: 27 November 2023 Through 29 November 2023; Conference Code:304419},
keywords = {Application programming interfaces (API); Application programs; Data Science; Decision making; Digital storage; Health care; Information systems; Information use, Data science interoperability; Development and applications; E health; Ehealth; Health information systems; Healthcare industry; Innovative systems; Openehr; Software and hardwares; Software solution, Interoperability},
pubstate = {published},
tppubtype = {inproceedings}
}
The concept of e-Health is increasingly used in the healthcare industry, referring to the development and application of software and hardware solutions for efficient collection, storage, manipulation, and communication of data, to improve healthcare delivery. Data Science Interoperability is critical to create a data repository from which to implement artificial intelligence models that support the decision-making process. The lack of interoperability in Health Information Systems (HIS) has been a significant challenge. The need for systems that promote interoperability between HIS within the same institution or even between HIS from different institutions is a worldwide concern. A system that contributes to improving interoperability in healthcare through the use of the openEHR standard is proposed with this paper. The system provides a way to manipulate clinical data by creating an artifact built with React and NextJS that allows the conversion of openEHR standardized data into a JSON object. The artifact being a web application presents a new way for users to check openEHR data, while the API can be used by developers to work with openEHR data in a more accessible and supported way. The results of this research and engineering effort have been successful in presenting a new approach to implementing yet another tool to help healthcare professionals and biomedical software engineers. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.