@inproceedings{arcobelli_motu_2023,
	title = {{MOTU} on {FHIR}: {A} preliminary strategy to enable interoperability for retrospective dataset standardization},
	isbn = {979-835038338-6 (ISBN)},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185556922&doi=10.1109%2fIEEECONF58974.2023.10404816&partnerID=40&md5=1864c3bf613493b2c7ec945712cb8cad},
	doi = {10.1109/IEEECONF58974.2023.10404816},
	abstract = {We present the application of HL7-FHIR to standardize a retrospective heterogeneous dataset, enhancing human/machine readability and interoperability.Clinical Relevance: The adopted strategy enables secondary use of clinical data in scientific medical research.  © 2023 IEEE.},
	language = {English},
	booktitle = {{IEEE} {EMBS} {Spec}. {Topic} {Conf}. {Data} {Sci}. {Eng}. {Healthc}., {Med}. {Biol}., {IEEECONF}},
	publisher = {Institute of Electrical and Electronics Engineers Inc.},
	author = {Arcobelli, V.A. and Moscato, S. and Marfoglia, A. and Nardini, F. and Randi, P. and Davalli, A. and Carbonaro, A. and Palumbo, P. and Chiari, L. and Mellone, S.},
	year = {2023},
	note = {Journal Abbreviation: IEEE EMBS Spec. Topic Conf. Data Sci. Eng. Healthc., Med. Biol., IEEECONF},
	keywords = {Clinical data, Clinical research, Heterogeneous datasets, Human-machine, Interoperability, Medical research, SP1, Secondary use, Standardization, WP4},
	pages = {81--82},
}

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