Automatic detection of drug interaction mismatches in package inserts | IEEE Conference Publication | IEEE Xplore

Automatic detection of drug interaction mismatches in package inserts


Abstract:

The US Code of Federal Regulation (21 CFR 207) mandates that pharmaceutical manufacturers submit their FDA-approved drug information as medication Package Insert (PI). PI...Show More

Abstract:

The US Code of Federal Regulation (21 CFR 207) mandates that pharmaceutical manufacturers submit their FDA-approved drug information as medication Package Insert (PI). PI should provide comprehensive, current, and accurate information about the medical use of a drug. However, PI narratives are cumbersome for healthcare providers to navigate and are therefore rarely used by them. We are developing Paracelsus, a tool for automatically extracting structured drug information from PI. Paracelsus has the potential to allow healthcare providers to benefit from the rich drug information in PI for patient care. In this study, we report the development and evaluation of Paracelsus on drug-drug interactions. We show that Paracelsus performs with a high accuracy, discovering interactions not covered by other medical compendia, and in addition automatically detecting inconsistencies in the package inserts.
Date of Conference: 22-25 August 2013
Date Added to IEEE Xplore: 21 October 2013
ISBN Information:
Conference Location: Mysore, India

References

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