This paper is in the following e-collection/theme issue:

Information Retrieval (287)

Published on in Vol 21, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11182, first published .
Identifying Common Methods Used by Drug Interaction Experts for Finding Evidence About Potential Drug-Drug Interactions: Web-Based Survey

Identifying Common Methods Used by Drug Interaction Experts for Finding Evidence About Potential Drug-Drug Interactions: Web-Based Survey

Identifying Common Methods Used by Drug Interaction Experts for Finding Evidence About Potential Drug-Drug Interactions: Web-Based Survey

Authors of this article:

Amy J Grizzle1 Author Orcid Image ;   John Horn2 Author Orcid Image ;   Carol Collins2 Author Orcid Image ;   Jodi Schneider3 Author Orcid Image ;   Daniel C Malone4 Author Orcid Image ;   Britney Stottlemyer5 Author Orcid Image ;   Richard David Boyce5 Author Orcid Image
Article Authors Cited by (13) Tweetations (6) Metrics

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  3. Monteith S, Glenn T, Gitlin M, Bauer M. Potential Drug interactions with Drugs used for Bipolar Disorder: A Comparison of 6 Drug Interaction Database Programs. Pharmacopsychiatry 2020;53(05):220 View
  4. Grizzle A, Hines L, Malone D, Kravchenko O, Hochheiser H, Boyce R. Testing the face validity and inter-rater agreement of a simple approach to drug-drug interaction evidence assessment. Journal of Biomedical Informatics 2020;101:103355 View
  5. Pelkonen O, Hakkola J, Hukkanen J, Turpeinen M. CYP-associated drug–drug interactions: A mission accomplished?. Archives of Toxicology 2020;94(11):3931 View
  6. Grandt D, Gamstätter T, Fölsch U. Entwicklung von Empfehlungen zum Management von Arzneimitteltherapie bei Multimorbidität. DMW - Deutsche Medizinische Wochenschrift 2020;145(20):1504 View
  7. Monteith S, Glenn T. Comparison of potential psychiatric drug interactions in six drug interaction database programs: A replication study after 2 years of updates. Human Psychopharmacology: Clinical and Experimental 2021;36(6) View
  8. Preininger A, Rosario B, Buchold A, Heiland J, Kutub N, Bohanan B, South B, Jackson G. Differences in information accessed in a pharmacologic knowledge base using a conversational agent vs traditional search methods. International Journal of Medical Informatics 2021;153:104530 View
  9. Aleksić D, Petković P, Milosavljević M, Stefanovic S, Janković S. Focus group and Delphi process: Stroke and potential drug-drug Interactions (pDDI) in the neurological Intensive Care Unit (NICU). Hospital Pharmacology - International Multidisciplinary Journal 2021;8(2):1041 View
  10. Aleksić D, Stefanović S, Milosavljević M, Milosavljević J, Janković S. Frequency and predictors of potential drug: Drug interactions in hospitalized patients with Parkinson's diseases. Hospital Pharmacology - International Multidisciplinary Journal 2021;8(3):1099 View
  11. Drwiega E, Badowski M, Michienzi S. Antiretroviral drug–drug interactions: A comparison of online drug interaction databases. Journal of Clinical Pharmacy and Therapeutics 2022;47(10):1720 View
  12. Zaikis D, Vlahavas I. TP-DDI: Transformer-based pipeline for the extraction of Drug-Drug Interactions. Artificial Intelligence in Medicine 2021;119:102153 View
  13. Ezekekwu E, Johnson C, Karimi S, Antimisiaris D, Lorenz D. Examining the relationship between long working hours and the use of prescription sedatives among U.S. workers. Sleep Medicine 2023;109:226 View