Clinical pathways play a crucial role in guiding the treatment of specific medical conditions or patient populations, but often rely on basic textual documentation, leading to potential inefficiencies and delays in patient care. This paper reports the early stages of a research aiming at exploring the application of knowledge representation techniques in the digitalization of diagnostic and therapeutic care pathways. These techniques are used to annotate contextual data, patient information and medical guidelines with respect to a reference ontology. In this way, a comprehensive knowledge graph can be processed using rule-based approaches to support the patient care management process, providing physicians and medical practitioners with valuable insights about specific diseases.
Towards a Knowledge-Based Approach for Digitalizing Integrated Care Pathways / Loseto, G.; Patella, G.; Ardito, C.; Ieva, S.; Tomasino, A.; Malgieri, L. E.; Ruta, M. (LECTURE NOTES IN COMPUTER SCIENCE). - In: Lecture Notes in Computer ScienceGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND : Springer Science and Business Media Deutschland GmbH, 2024. - ISBN 9783031616877. - pp. 91-103 [10.1007/978-3-031-61688-4_8]
Towards a Knowledge-Based Approach for Digitalizing Integrated Care Pathways
Ardito C.;Ieva S.;Tomasino A.;Ruta M.
2024
Abstract
Clinical pathways play a crucial role in guiding the treatment of specific medical conditions or patient populations, but often rely on basic textual documentation, leading to potential inefficiencies and delays in patient care. This paper reports the early stages of a research aiming at exploring the application of knowledge representation techniques in the digitalization of diagnostic and therapeutic care pathways. These techniques are used to annotate contextual data, patient information and medical guidelines with respect to a reference ontology. In this way, a comprehensive knowledge graph can be processed using rule-based approaches to support the patient care management process, providing physicians and medical practitioners with valuable insights about specific diseases.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

