{"doi":"10.21037/atm-2022-57","title":"Medication reconciliation to support pharmacogenomics implementation","abstract":"(1) reported on the first large-scale study quantifying and classifying the impact of using medication reconciliation (med rec) to support the implementation of pharmacogenomics (PGx) test results into clinical care within a health care system. Over an 8-month period, a 21-member team of pharmacists and pharmacy trainees with advanced PGx training contacted 465 patients by telephone to identify 2,311 medication discrepancies and classified them based on their implications for patient safety. PGx results were reviewed to assess for gene-drug interactions and phenoconversion due to drug-drug interactions. Subsequently, patients' primary care providers were alerted if there were opportunities to improve medication use. The authors found that 93% of patients had at least 1 medication discrepancy and that on average, each patient had at least one medication with a gene-drug interaction, but the exact proportion was not reported. Furthermore, 4.3% of patients required interventions to align their medication regimen with existing PGx guidelines (2). Finally, this study reports pharmacy staff spending an average review time of 15.8 minutes per patient, much of which was provided by pharmacy trainees (1).","journal":"Annals of Translational Medicine","year":2022,"id":302320,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9527,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":270944,"name":"Joshua M. Pevnick","orcid":"0000-0003-0621-1485","position":1,"is_corresponding":false},{"id":994308,"name":"Scott A. Mosley","orcid":"0000-0003-1460-4000","position":0,"is_corresponding":true}],"reference_count":20,"raw_metadata":null,"created_at":"2026-07-19T00:32:16.279991Z","pmid":"36618811","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}