» Articles » PMID: 19205683

SFINX-a Drug-drug Interaction Database Designed for Clinical Decision Support Systems

Overview
Specialty Pharmacology
Date 2009 Feb 12
PMID 19205683
Citations 78
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Exploring the need for a clinical decision support system for deprescribing - A qualitative interview study.

Talani A, Hammar T, Bottiger Y Explor Res Clin Soc Pharm. 2025; 17:100574.

PMID: 39996042 PMC: 11848097. DOI: 10.1016/j.rcsop.2025.100574.


Pharmacotherapeutic actions related to drug interaction alerts - a questionnaire study among Swedish hospital interns and residents in family medicine.

Tukukino C, Parodi Lopez N, Lonnbro J, Wallerstedt S, Svensson S Eur J Clin Pharmacol. 2024; 81(2):301-308.

PMID: 39680076 PMC: 11717818. DOI: 10.1007/s00228-024-03785-4.


Potential Adverse Drug Events Identified with Decision Support Algorithms from Janusmed Risk Profile-A Retrospective Population-Based Study in a Swedish Region.

Hammar T, Jonsen E, Bjorneld O, Askfors Y, Andersson M, Lincke A Pharmacy (Basel). 2024; 12(6).

PMID: 39585094 PMC: 11587405. DOI: 10.3390/pharmacy12060168.


Apixaban plasma concentrations in patients with obesity.

Al-Aieshy F, Skeppholm M, Fyrestam J, Johansson F, Pohanka A, Malmstrom R Eur J Clin Pharmacol. 2024; 80(9):1343-1354.

PMID: 38822847 PMC: 11303434. DOI: 10.1007/s00228-024-03696-4.


Serious adverse drug events associated with psychotropic treatment of bipolar or schizoaffective disorder: a 17-year follow-up on the LiSIE retrospective cohort study.

Truedson P, Ott M, Wahlstrom L, Lundqvist R, Maripuu M, Lindmark K Front Psychiatry. 2024; 15:1358461.

PMID: 38633030 PMC: 11022285. DOI: 10.3389/fpsyt.2024.1358461.


References
1.
Pai M, Graci D, Amsden G . Macrolide drug interactions: an update. Ann Pharmacother. 2000; 34(4):495-513. DOI: 10.1345/aph.19138. View

2.
Shear N, Drake L, Gupta A, Lambert J, Yaniv R . The implications and management of drug interactions with itraconazole, fluconazole and terbinafine. Dermatology. 2000; 201(3):196-203. DOI: 10.1159/000018488. View

3.
Thompson D, Oster G . Use of terfenadine and contraindicated drugs. JAMA. 1996; 275(17):1339-41. View

4.
van der Sijs H, Aarts J, Vulto A, Berg M . Overriding of drug safety alerts in computerized physician order entry. J Am Med Inform Assoc. 2005; 13(2):138-47. PMC: 1447540. DOI: 10.1197/jamia.M1809. View

5.
Neuvonen P, Niemi M, Backman J . Drug interactions with lipid-lowering drugs: mechanisms and clinical relevance. Clin Pharmacol Ther. 2006; 80(6):565-81. DOI: 10.1016/j.clpt.2006.09.003. View