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Open Innovation as the Catalyst in the Personalized Medicine to Personalized Digital Medicine Transition.
Cesario, Alfredo; D'Oria, Marika; Simone, Irene; Patarnello, Stefano; Valentini, Vincenzo; Scambia, Giovanni.
  • Cesario A; Scientific Directorate, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00182 Rome, Italy.
  • D'Oria M; Gemelli Digital Medicine & Health, 00182 Rome, Italy.
  • Simone I; Gemelli Generator, Gemelli Science and Technology Park (G-STeP), Fondazione Policlinico Universitario A. Gemelli IRCCS, 00182 Rome, Italy.
  • Patarnello S; Scientific Directorate, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00182 Rome, Italy.
  • Valentini V; Scientific Directorate, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00182 Rome, Italy.
  • Scambia G; Gemelli Digital Medicine & Health, 00182 Rome, Italy.
J Pers Med ; 12(9)2022 Sep 14.
Article in English | MEDLINE | ID: covidwho-2033040
ABSTRACT
Personalized medicine (PM) bridges several disciplines for understanding and addressing prevalent, complex, or rare situations in human health (e.g., complex phenotyping, risk stratification, etc.); therefore, digital and technological solutions have been integrated in the field to boost innovation and new knowledge generation. The open innovation (OI) paradigm proposes a method by which to respectfully manage disruptive change in biomedical organizations, as experienced by many organizations during digital transformation and the COVID-19 pandemic. In this article, we focus on how this paradigm has catalyzed the transition from PM to personalized digital medicine in a large-volume research hospital. Methods, challenges, and results are discussed. This case study is an endeavor to confirm that OI strategies could help manage urgent needs from the healthcare environment, while achieving sustainability-oriented, accountable innovation.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: Jpm12091500

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2022 Document Type: Article Affiliation country: Jpm12091500