Digital GO: A Clinical Decision-Support Dashboard for Gynecologic Oncology Tumor Board.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Digital GO: A Clinical Decision-Support Dashboard for Gynecologic Oncology Tumor Board.
Συγγραφείς:	Dachena C; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Luraschi A; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., de Maria C; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Criscione M; Catholic University of the Sacred Heart, Rome, Italy.; UOC Ginecologia Oncologica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy.; Gynecologic and Obstetric Clinic, Department of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy., Rosati A; Catholic University of the Sacred Heart, Rome, Italy.; UOC Ginecologia Oncologica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy., Tomassini F; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Tobia GP; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Patarnello S; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Fagotti A; Catholic University of the Sacred Heart, Rome, Italy.; UOC Ginecologia Oncologica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome, Italy., Lilli L; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.; Catholic University of the Sacred Heart, Rome, Italy.
Πηγή:	Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 263-267.
Τύπος έκδοσης:	Journal Article
Γλώσσα:	English
Στοιχεία περιοδικού:	Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Imprint Name(s):	Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991-
Ιατρικοί όροι (MeSH):	Decision Support Systems, Clinical/organization & administration , Ovarian Neoplasms/therapy , Medical Oncology/organization & administration , Dashboard Systems, Electronic Health Records/organization & administration ; Humans ; Female ; Large Language Models ; User-Computer Interface ; Workflow
Περίληψη:	Multidisciplinary Tumor Board (MTB) meetings are essential for coordinated oncologic decision-making but are often hindered by the complexity and fragmentation of patient data. This study presents the development of an interactive digital dashboard designed to streamline data access and visualization during ovarian cancer MTB sessions. The system leverages structured knowledge extracted from unstructured clinical reports using in-house large language model (LLM) pipelines. These outputs are harmonized within a cloud environment through dedicated processing workflows and mapped into a domain ontology, to ensure interoperability. The resulting dashboard, implemented using a dedicated functional module, enables both cohort-level exploration and patient-specific visualization, including longitudinal event timelines. Preliminary results demonstrate the feasibility of integrating LLM-based data extraction with a scalable visualization framework, offering a step toward the digital transformation of multidisciplinary oncology workflows.
Contributed Indexing:	Keywords: Clinical Dashboard; Digital Healthcare; Multidisciplinary Tumor Board (MTB)
Entry Date(s):	Date Created: 20260523 Date Completed: 20260717 Latest Revision: 20260717
Update Code:	20260717
DOI:	10.3233/SHTI260158
PMID:	42174834
Βάση Δεδομένων:	MEDLINE

Περιγραφή
ISSN:	1879-8365
DOI:	10.3233/SHTI260158