ArticlePloS one2014
An ontology-based, mobile-optimized system for pharmacogenomic decision support at the point-of-care.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Identification of Drugs Acting as Perpetrators in Common Drug Interactions in a Cohort of Geriatric Patients from Southern Italy and Analysis of the Gene Polymorphisms That Affect Their Interacting Potential.Geriatrics (Basel, Switzerland) · 2023Article
- A Personalized Ontology-Based Decision Support System for Complex Chronic Patients: Retrospective Observational Study.JMIR formative research · 2022Article
- PAGEANT: personal access to genome and analysis of natural traits.Nucleic acids research · 2022Article
- Integrating clinical decision support systems for pharmacogenomic testing into clinical routine - a scoping review of designs of user-system interactions in recent system development.BMC medical informatics and decision making · 2017Article
- Article
- Pharmacogenomics in the clinic.Nature · 2015Review
- Computerized Clinical Decision Support: Contributions from 2014.Yearbook of medical informatics · 2015Review
- Smartphone applications with sensors used in a tertiary hospital-current status and future challenges.Sensors (Basel, Switzerland) · 2015Article
- Pharmacogenomic knowledge representation, reasoning and genome-based clinical decision support based on OWL 2 DL ontologies.BMC medical informatics and decision making · 2015Article
- Biomedical imaging ontologies: A survey and proposal for future work.Journal of pathology informatics · 2015Article
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Authors and funding
5 authors.
Funding
Abstract
backgroundThe development of genotyping and genetic sequencing techniques and their evolution towards low costs and quick turnaround have encouraged a wide range of applications. One of the most promising applications is pharmacogenomics, where genetic profiles are used to predict the most suitable drugs and drug dosages for the individual patient. This approach aims to ensure appropriate medical treatment and avoid, or properly manage, undesired side effects.
resultsWe developed the Medicine Safety Code (MSC) service, a novel pharmacogenomics decision support system, to provide physicians and patients with the ability to represent pharmacogenomic data in computable form and to provide pharmacogenomic guidance at the point-of-care. Pharmacogenomic data of individual patients are encoded as Quick Response (QR) codes and can be decoded and interpreted with common mobile devices without requiring a centralized repository for storing genetic patient data. In this paper, we present the first fully functional release of this system and describe its architecture, which utilizes Web Ontology Language 2 (OWL 2) ontologies to formalize pharmacogenomic knowledge and to provide clinical decision support functionalities.
conclusionsThe MSC system provides a novel approach for enabling the implementation of personalized medicine in clinical routine.
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