Pharmacoepidemiology and Prescription

European Journal of Clinical Pharmacology

, Volume 65, Issue 6, pp 627-633

First online:

SFINX—a drug-drug interaction database designed for clinical decision support systems

  • Ylva BöttigerAffiliated withDivision of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital
  • , Kari LaineAffiliated withmedbase Ltd.Department of Pharmacology, Drug Development and Therapeutics, University of TurkuUnit of Clinical Pharmacology, TYKSLAB
  • , Marine L. AnderssonAffiliated withDivision of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital
  • , Tuomas KorhonenAffiliated withmedbase Ltd.Department of Pharmacology, Drug Development and Therapeutics, University of TurkuUnit of Clinical Pharmacology, TYKSLAB
  • , Björn MolinAffiliated withDepartment of Drug Management and Informatics, Stockholm County Council
  • , Marie-Louise OvesjöAffiliated withDivision of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital
  • , Tuire TirkkonenAffiliated withmedbase Ltd.Department of Pharmacology, Drug Development and Therapeutics, University of TurkuUnit of Clinical Pharmacology, TYKSLAB
  • , Anders RaneAffiliated withDivision of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital
  • , Lars L. GustafssonAffiliated withDepartment of Drug Management and Informatics, Stockholm County CouncilDivision of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital
    • , Birgit EiermannAffiliated withDepartment of Drug Management and Informatics, Stockholm County Council Email author 

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Abstract

Objective

The aim was to develop a drug-drug interaction database (SFINX) to be integrated into decision support systems or to be used in website solutions for clinical evaluation of interactions.

Methods

Key elements such as substance properties and names, drug formulations, text structures and references were defined before development of the database. Standard operating procedures for literature searches, text writing rules and a classification system for clinical relevance and documentation level were determined. ATC codes, CAS numbers and country-specific codes for substances were identified and quality assured to ensure safe integration of SFINX into other data systems. Much effort was put into giving short and practical advice regarding clinically relevant drug-drug interactions.

Results

SFINX includes over 8,000 interaction pairs and is integrated into Swedish and Finnish computerised decision support systems. Over 31,000 physicians and pharmacists are receiving interaction alerts through SFINX. User feedback is collected for continuous improvement of the content.

Conclusion

SFINX is a potentially valuable tool delivering instant information on drug interactions during prescribing and dispensing.

Keywords

Drug-drug interaction database Clinical decision support system Drug interactions