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Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Feb 23, 2024
Date Accepted: Sep 7, 2024

The final, peer-reviewed published version of this preprint can be found here:

Design and Implementation of a Dashboard for Drug Interactions Mediated by Cytochromes Using a Health Care Data Warehouse in a University Hospital Center: Development Study

Gosselin L, Maes A, Eyer K, dahamna b, disson f, darmoni s, wils j, grosjean j

Design and Implementation of a Dashboard for Drug Interactions Mediated by Cytochromes Using a Health Care Data Warehouse in a University Hospital Center: Development Study

JMIR Med Inform 2024;12:e57705

DOI: 10.2196/57705

PMID: 39607869

PMCID: 11620019

Development of a dashboard for drug interactions mediated by cytochromes using a healthcare data warehouse in a University Hospital Center

  • Laura Gosselin; 
  • Alexandre Maes; 
  • Kevin Eyer; 
  • badisse dahamna; 
  • flavien disson; 
  • stefan darmoni; 
  • julien wils; 
  • julien grosjean

ABSTRACT

Background:

The enzymatic system of cytochrome P450 is a group of enzymes involved in the metabolism of drugs present in the liver. Literature records instances of underdosing or overdosing of drugs due to the concurrent administration of another drug that strongly inhibits or induces the same cytochrome for which the first drug is a substrate. Information technology solutions have been proposed to raise awareness among prescribers to mitigate these interactions.

Objective:

To develop a Drug Interaction Dashboard for Cytochrome-mediated drug interactions (DIDC) using a Healthcare Data Warehouse to display results that are easily readable and interpretable by clinical experts.

Methods:

The initial step involved defining requirements with expert pharmacologists. An existing model of interactions involving the cytochrome P450 enzymatic system was employed. A program for the automatic detection of cytochrome-mediated Drug Interactions (DI) was developed using Python. Finally, the development and visualization of the DIDC were carried out by a computer engineer. An evaluation of the tool was carried out.

Results:

The initial step involved defining requirements with expert pharmacologists. An existing model of interactions involving the cytochrome P450 enzymatic system was employed. A program for the automatic detection of cytochrome-mediated Drug Interactions (DI) was developed using Python. Finally, the development and visualization of the DIDC were carried out by a computer engineer. An evaluation of the tool was carried out.

Conclusions:

At our hospital, measurements of molecules that could have altered concentrations due to cytochrome-mediated DIs are not systematic. These DIs can lead to serious clinical consequences. The purpose of this DIDC is to provide an overall view and raise awareness among prescribers about the importance of pharmacological measurements for their patients. Ultimately, the tool could lead to an individualized approach and become a prescription support tool if integrated into prescription assistance software.


 Citation

Please cite as:

Gosselin L, Maes A, Eyer K, dahamna b, disson f, darmoni s, wils j, grosjean j

Design and Implementation of a Dashboard for Drug Interactions Mediated by Cytochromes Using a Health Care Data Warehouse in a University Hospital Center: Development Study

JMIR Med Inform 2024;12:e57705

DOI: 10.2196/57705

PMID: 39607869

PMCID: 11620019

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