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    <timestamp>20260715102315000</timestamp>
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      <depositor_name>Editor</depositor_name>
      <email_address>editor.jddt@gmail.com</email_address>
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    <registrant>Universal Journal of Pharmaceutical Research</registrant>
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      <journal_metadata>
        <full_title>Universal Journal of Pharmaceutical Research</full_title>
        <abbrev_title>Univ J Pharm Res</abbrev_title>
        <issn media_type="electronic">2456-8058</issn>
        <issn media_type="print">2831-5235</issn>
      </journal_metadata>
      <journal_issue>
        <publication_date media_type="online">
          <month>07</month>
          <day>15</day>
          <year>2026</year>
        </publication_date>
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        <titles>
          <title>PERFORMANCE OF AI-GENERATED DRUG–DRUG INTERACTION ALERTS VERSUS PHARMACIST ASSESSMENT: A SYSTEMATIC REVIEW</title>
        </titles>
        <contributors>
          <person_name contributor_role="author" sequence="first">
            <surname>Seerat Shahzad</surname>
          </person_name>
          <person_name contributor_role="author" sequence="additional">
            <surname>Ayesha Afzaal</surname>
          </person_name>
          <person_name contributor_role="author" sequence="additional">
            <surname>Rida Afzaal</surname>
          </person_name>
          <person_name contributor_role="author" sequence="additional">
            <surname>Asma Ashraf</surname>
          </person_name>
          <person_name contributor_role="author" sequence="additional">
            <surname>Hafiz Muhammad Bilal</surname>
          </person_name>
          <person_name contributor_role="author" sequence="additional">
            <surname>Syed Hamid Hussain Zaidi</surname>
          </person_name>
          <person_name contributor_role="author" sequence="additional">
            <surname>Abdul Rehman Abid</surname>
          </person_name>
          <person_name contributor_role="author" sequence="additional">
            <surname>Zarfshan Shahzad</surname>
          </person_name>
        </contributors>
        <jats:abstract xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1">
          <jats:p>Background: Artificial Intelligence (AI) is increasingly being used in the medicine administration and drug–drug interaction (DDI) screening domain in healthcare. However, its reliability in comparison with the pharmacist review is unknown. This systematic review aimed to compare the effectiveness of DDI alerts generated by AI to DDI alerts generated by pharmacists.
Methodology: This review was done in accordance with PRISMA 2020 guidelines and registered with PROSPERO (CRD420251153581). The publications since 2022 were obtained from PubMed, Embase, Scopus, Web of Science, Cochrane Library, IEEE Xplore, and arXiv. The Mixed Methods Appraisal Tool (MMAT) 2018 was used to evaluate the quality of the studies.
Results: Fourteen studies of AI systems like ChatGPT, Gemini, Bing AI, and Claude were selected. AI models performed well in general drug information retrieval and were found to have significant shortcomings when it comes to clinical DDI screening. Low accuracy, inconsistent responses, severity and onset not assessed and clinically important interaction not included were common problems. Pharmacist review and validated databases like Lexicomp and Micromedex were more reliable to assess DDI.
Conclusion: AI systems can provide support for drug information and may be suitable but are currently not sufficient for autonomous drug information screening. However, pharmacist oversight will remain essential to patient safety, and additional studies are required to develop customizable AI systems for pharmacies that incorporate trusted clinical decision support tools.
              
Peer Review History: 
Received 9 April 2026;   Reviewed 11 May 2026; Accepted  13 June; Available online 15 July 2026
Academic Editor: Dr. Ahmad Najib, Universitas Muslim Indonesia,  Indonesia, ahmad.najib@umi.ac.id
Reviewers:
Dr. Esther Marguerite Chase DJANGA, Faculty of Medicine and Biomedical Sciences. Department of Public Health. University of Yaoundé I, Cameroon. e.djanga@yahoo.com
Dr. Dennis Amaechi, MrsFoluBabade Mini Estate , Flat 5 by Old Soldiers Quarter, Sabongari/Bwari, Abuja- Federal Capital Territory, Nigeria. amaechitoexcel@yahoo.com </jats:p>
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          <day>15</day>
          <year>2026</year>
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