Given the exponential increase in clinical data, which accounts for around 30% of global data volume, effective information management has become crucial to ensuring robust interoperability. This trend is further expedited by implementing consumer-oriented Internet of Things platforms, contributing to the growth of the $8.3 trillion healthcare industry. These advancements, combined with challenges such as heterogeneous data formats and a lack of incentives, necessitate the development of pragmatic infrastructures and tools that harness contemporary clinical standards like Fast Healthcare Interoperability Resources (FHIR).

Marfoglia, A., Nardini, F., Arcobelli, V.A., Moscato, S., Mellone, S., Carbonaro, A. (2025). Towards real-world clinical data standardization: A modular FHIR-driven transformation pipeline to enhance semantic interoperability in healthcare. COMPUTERS IN BIOLOGY AND MEDICINE, 187, 1-11 [10.1016/j.compbiomed.2025.109745].

Towards real-world clinical data standardization: A modular FHIR-driven transformation pipeline to enhance semantic interoperability in healthcare

Alberto Marfoglia;Filippo Nardini;Valerio Antonio Arcobelli;Serena Moscato;Sabato Mellone;Antonella Carbonaro
2025

Abstract

Given the exponential increase in clinical data, which accounts for around 30% of global data volume, effective information management has become crucial to ensuring robust interoperability. This trend is further expedited by implementing consumer-oriented Internet of Things platforms, contributing to the growth of the $8.3 trillion healthcare industry. These advancements, combined with challenges such as heterogeneous data formats and a lack of incentives, necessitate the development of pragmatic infrastructures and tools that harness contemporary clinical standards like Fast Healthcare Interoperability Resources (FHIR).
2025
Marfoglia, A., Nardini, F., Arcobelli, V.A., Moscato, S., Mellone, S., Carbonaro, A. (2025). Towards real-world clinical data standardization: A modular FHIR-driven transformation pipeline to enhance semantic interoperability in healthcare. COMPUTERS IN BIOLOGY AND MEDICINE, 187, 1-11 [10.1016/j.compbiomed.2025.109745].
Marfoglia, Alberto; Nardini, Filippo; Arcobelli, VALERIO ANTONIO; Moscato, Serena; Mellone, Sabato; Carbonaro, Antonella
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1003987
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