An ontology-based, mobile-optimized system for pharmacogenomic decision support at the point-of-care.
BACKGROUND:The 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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4008421?pdf=render |
| _version_ | 1811207502762606592 |
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| author | Jose Antonio Miñarro-Giménez Kathrin Blagec Richard D Boyce Klaus-Peter Adlassnig Matthias Samwald |
| author_facet | Jose Antonio Miñarro-Giménez Kathrin Blagec Richard D Boyce Klaus-Peter Adlassnig Matthias Samwald |
| author_sort | Jose Antonio Miñarro-Giménez |
| collection | DOAJ |
| description | BACKGROUND:The 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. RESULTS:We 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. CONCLUSIONS:The MSC system provides a novel approach for enabling the implementation of personalized medicine in clinical routine. |
| first_indexed | 2024-04-12T04:05:36Z |
| format | Article |
| id | doaj.art-cab799ce92d14728a38125e652126b88 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-12T04:05:36Z |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-cab799ce92d14728a38125e652126b882022-12-22T03:48:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0195e9376910.1371/journal.pone.0093769An ontology-based, mobile-optimized system for pharmacogenomic decision support at the point-of-care.Jose Antonio Miñarro-GiménezKathrin BlagecRichard D BoyceKlaus-Peter AdlassnigMatthias SamwaldBACKGROUND:The 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. RESULTS:We 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. CONCLUSIONS:The MSC system provides a novel approach for enabling the implementation of personalized medicine in clinical routine.http://europepmc.org/articles/PMC4008421?pdf=render |
| spellingShingle | Jose Antonio Miñarro-Giménez Kathrin Blagec Richard D Boyce Klaus-Peter Adlassnig Matthias Samwald An ontology-based, mobile-optimized system for pharmacogenomic decision support at the point-of-care. PLoS ONE |
| title | An ontology-based, mobile-optimized system for pharmacogenomic decision support at the point-of-care. |
| title_full | An ontology-based, mobile-optimized system for pharmacogenomic decision support at the point-of-care. |
| title_fullStr | An ontology-based, mobile-optimized system for pharmacogenomic decision support at the point-of-care. |
| title_full_unstemmed | An ontology-based, mobile-optimized system for pharmacogenomic decision support at the point-of-care. |
| title_short | An ontology-based, mobile-optimized system for pharmacogenomic decision support at the point-of-care. |
| title_sort | ontology based mobile optimized system for pharmacogenomic decision support at the point of care |
| url | http://europepmc.org/articles/PMC4008421?pdf=render |
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