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Open AccessArticle

GENERATOR Breast DataMart—The Novel Breast Cancer Data Discovery System for Research and Monitoring: Preliminary Results and Future Perspectives

1
Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, UOC di Radioterapia Oncologica, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00186 Rome, Italy
2
Dipartimento di Scienze della Salute della Donna e del Bambino e di Sanità Pubblica, UOC di Chirurgia Senologica, Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00186 Roma, Italy
3
Istituto di Radiologia, Università Cattolica del Sacro Cuore, 00186 Rome, Italy
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Fondazione Policlinico Universitario “A. Gemelli” IRCCS, 00186 Roma, Italy
5
Istituto di Semeiotica Chirurgica, Università Cattolica del Sacro Cuore, 00186 Rome, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Enrico Capobianco
J. Pers. Med. 2021, 11(2), 65; https://doi.org/10.3390/jpm11020065
Received: 30 December 2020 / Revised: 18 January 2021 / Accepted: 20 January 2021 / Published: 22 January 2021
(This article belongs to the Special Issue Innovations in the Integrated Management of Breast Cancer)
Background: Artificial Intelligence (AI) is increasingly used for process management in daily life. In the medical field AI is becoming part of computerized systems to manage information and encourage the generation of evidence. Here we present the development of the application of AI to IT systems present in the hospital, for the creation of a DataMart for the management of clinical and research processes in the field of breast cancer. Materials and methods: A multidisciplinary team of radiation oncologists, epidemiologists, medical oncologists, breast surgeons, data scientists, and data management experts worked together to identify relevant data and sources located inside the hospital system. Combinations of open-source data science packages and industry solutions were used to design the target framework. To validate the DataMart directly on real-life cases, the working team defined tumoral pathology and clinical purposes of proof of concepts (PoCs). Results: Data were classified into “Not organized, not ‘ontologized’ data”, “Organized, not ‘ontologized’ data”, and “Organized and ‘ontologized’ data”. Archives of real-world data (RWD) identified were platform based on ontology, hospital data warehouse, PDF documents, and electronic reports. Data extraction was performed by direct connection with structured data or text-mining technology. Two PoCs were performed, by which waiting time interval for radiotherapy and performance index of breast unit were tested and resulted available. Conclusions: GENERATOR Breast DataMart was created for supporting breast cancer pathways of care. An AI-based process automatically extracts data from different sources and uses them for generating trend studies and clinical evidence. Further studies and more proof of concepts are needed to exploit all the potentials of this system. View Full-Text
Keywords: breast cancer; DataMart; real world data; predictive model; healthcare breast cancer; DataMart; real world data; predictive model; healthcare
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MDPI and ACS Style

Marazzi, F.; Tagliaferri, L.; Masiello, V.; Moschella, F.; Colloca, G.F.; Corvari, B.; Sanchez, A.M.; Capocchiano, N.D.; Pastorino, R.; Iacomini, C.; Lenkowicz, J.; Masciocchi, C.; Patarnello, S.; Franceschini, G.; Gambacorta, M.A.; Masetti, R.; Valentini, V. GENERATOR Breast DataMart—The Novel Breast Cancer Data Discovery System for Research and Monitoring: Preliminary Results and Future Perspectives. J. Pers. Med. 2021, 11, 65. https://doi.org/10.3390/jpm11020065

AMA Style

Marazzi F, Tagliaferri L, Masiello V, Moschella F, Colloca GF, Corvari B, Sanchez AM, Capocchiano ND, Pastorino R, Iacomini C, Lenkowicz J, Masciocchi C, Patarnello S, Franceschini G, Gambacorta MA, Masetti R, Valentini V. GENERATOR Breast DataMart—The Novel Breast Cancer Data Discovery System for Research and Monitoring: Preliminary Results and Future Perspectives. Journal of Personalized Medicine. 2021; 11(2):65. https://doi.org/10.3390/jpm11020065

Chicago/Turabian Style

Marazzi, Fabio; Tagliaferri, Luca; Masiello, Valeria; Moschella, Francesca; Colloca, Giuseppe F.; Corvari, Barbara; Sanchez, Alejandro M.; Capocchiano, Nikola D.; Pastorino, Roberta; Iacomini, Chiara; Lenkowicz, Jacopo; Masciocchi, Carlotta; Patarnello, Stefano; Franceschini, Gianluca; Gambacorta, Maria A.; Masetti, Riccardo; Valentini, Vincenzo. 2021. "GENERATOR Breast DataMart—The Novel Breast Cancer Data Discovery System for Research and Monitoring: Preliminary Results and Future Perspectives" J. Pers. Med. 11, no. 2: 65. https://doi.org/10.3390/jpm11020065

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