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FARMAPRICE: A Pharmacogenetic Clinical Decision Support System for Precise and Cost-Effective Therapy

1
Clinical and Experimental Pharmacology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, 33081 Aviano, Italy
2
GPI, Società per Azioni (SpA), 38123 Trento, Italy
3
InSilicoTrials Technologies società a responsabilità limitata (s.r.l.), 34148 Trieste, Italy
4
Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCSS, 33081 Aviano, Italy
*
Authors to whom correspondence should be addressed.
Genes 2019, 10(4), 276; https://doi.org/10.3390/genes10040276
Received: 28 February 2019 / Revised: 26 March 2019 / Accepted: 1 April 2019 / Published: 4 April 2019
(This article belongs to the Special Issue Pharmacogenomics and Personalized Medicine)
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Abstract

Pharmacogenetic (PGx) guidelines for the precise dosing and selection of drugs remain poorly implemented in current clinical practice. Among the barriers to the implementation process is the lack of clinical decision support system (CDSS) tools to aid health providers in managing PGx information in the clinical context. The present study aimed to describe the first Italian endeavor to develop a PGx CDSS, called FARMAPRICE. FARMAPRICE prototype was conceived for integration of patient molecular data into the clinical prescription process in the Italian Centro di Riferimento Oncologico (CRO)-Aviano Hospital. It was developed through a coordinated partnership between two high-tech companies active in the computerization of the Italian healthcare system. Introducing FARMAPRICE into the clinical setting can aid physicians in prescribing the most efficacious and cost-effective pharmacological therapy available. View Full-Text
Keywords: CDSS; pharmacogenetics; implementation CDSS; pharmacogenetics; implementation
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Roncato, R.; Dal Cin, L.; Mezzalira, S.; Comello, F.; De Mattia, E.; Bignucolo, A.; Giollo, L.; D’Errico, S.; Gulotta, A.; Emili, L.; Carbone, V.; Guardascione, M.; Foltran, L.; Toffoli, G.; Cecchin, E. FARMAPRICE: A Pharmacogenetic Clinical Decision Support System for Precise and Cost-Effective Therapy. Genes 2019, 10, 276.

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