Clinical trials in cancer treatment are imperative in enhancing patients’ survival and quality of life outcomes. The lack of communication among professionals may produce a non-optimization of patients’ accrual in clinical trials. We developed a specific platform, called “Digital Research Assistant” (DRA), to report real-time every available clinical trial and support clinician. Healthcare professionals involved in breast cancer working group agreed nine minimal fields of interest to preliminarily classify the characteristics of patients’ records (including omic data, such as genomic mutations). A progressive web app (PWA) was developed to implement a cross-platform software that was scalable on several electronic devices to share the patients’ records and clinical trials. A specialist is able to use and populate the platform. An AI algorithm helps in the matchmaking between patient’s data and clinical trial’s inclusion criteria to personalize patient enrollment. At the same time, an easy configuration allows the application of the DRA in different oncology working groups (from breast cancer to lung cancer). The DRA might represent a valid research tool supporting clinicians and scientists, in order to optimize the enrollment of patients in clinical trials. User Experience and Technology The acceptance of participants using the DRA is topic of a future analysis.

Cesario, A., Simone, I., Paris, I., Boldrini, L., Orlandi, A., Franceschini, G., Lococo, F., Bria, E., Magno, S., Mule, A., Santoro, A., Damiani, A., Bianchi, D., Picchi, D., Rasi, G., Daniele, G., Fabi, A., Sergi, P., Tortora, G., Masetti, R., Valentini, V., D'oria, M., Scambia, G., Development of a digital research assistant for the management of patients’ enrollment in oncology clinical trials within a research hospital, <<JOURNAL OF PERSONALIZED MEDICINE>>, 2021; 11 (4): 244-N/A. [doi:10.3390/jpm11040244] [http://hdl.handle.net/10807/178594]

Development of a digital research assistant for the management of patients’ enrollment in oncology clinical trials within a research hospital

Cesario, A.;Paris, I.;Boldrini, L.;Orlandi, A.;Franceschini, G.;Lococo, F.;Bria, E.;Magno, S.;Damiani, A.;Daniele, G.;Tortora, G.;Masetti, R.;Valentini, V.;Scambia, G.
2021

Abstract

Clinical trials in cancer treatment are imperative in enhancing patients’ survival and quality of life outcomes. The lack of communication among professionals may produce a non-optimization of patients’ accrual in clinical trials. We developed a specific platform, called “Digital Research Assistant” (DRA), to report real-time every available clinical trial and support clinician. Healthcare professionals involved in breast cancer working group agreed nine minimal fields of interest to preliminarily classify the characteristics of patients’ records (including omic data, such as genomic mutations). A progressive web app (PWA) was developed to implement a cross-platform software that was scalable on several electronic devices to share the patients’ records and clinical trials. A specialist is able to use and populate the platform. An AI algorithm helps in the matchmaking between patient’s data and clinical trial’s inclusion criteria to personalize patient enrollment. At the same time, an easy configuration allows the application of the DRA in different oncology working groups (from breast cancer to lung cancer). The DRA might represent a valid research tool supporting clinicians and scientists, in order to optimize the enrollment of patients in clinical trials. User Experience and Technology The acceptance of participants using the DRA is topic of a future analysis.
Inglese
Cesario, A., Simone, I., Paris, I., Boldrini, L., Orlandi, A., Franceschini, G., Lococo, F., Bria, E., Magno, S., Mule, A., Santoro, A., Damiani, A., Bianchi, D., Picchi, D., Rasi, G., Daniele, G., Fabi, A., Sergi, P., Tortora, G., Masetti, R., Valentini, V., D'oria, M., Scambia, G., Development of a digital research assistant for the management of patients’ enrollment in oncology clinical trials within a research hospital, <<JOURNAL OF PERSONALIZED MEDICINE>>, 2021; 11 (4): 244-N/A. [doi:10.3390/jpm11040244] [http://hdl.handle.net/10807/178594]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10807/178594
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 3
social impact