{"id":"W2123089480","doi":"10.1177/1460458207079836","title":"Evaluation of accuracy of drug interaction alerts triggered by two electronic medical record systems in primary healthcare","year":2007,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Research Foundation; Canadian Foundation for Healthcare Improvement; Dalhousie University","funders":"Canadian Institutes of Health Research; Health Canada; Research Nova Scotia; Canadian Health Services Research Foundation","keywords":"Workflow; Clinical decision support system; Computer science; Electronic medical record; Adverse drug event; Medical record; Drug; Health care; Medicine; Medical emergency; Decision support system; Data mining; Database","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02805679,0.0003807037,0.0009485233,0.004064573,0.0006552032,0.001796766,0.0008924195,0.001219835,0.00069756],"category_scores_gemma":[0.2746935,0.0002957216,0.0008529018,0.002875945,0.000636136,0.001789094,0.001185824,0.0006981166,0.0004338339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572015,"about_ca_system_score_gemma":0.00120232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003806748,"about_ca_topic_score_gemma":0.002238067,"domain_scores_codex":[0.954513,0.02132443,0.008101549,0.003036306,0.01219349,0.0008312208],"domain_scores_gemma":[0.5528892,0.3315221,0.0479658,0.01735613,0.04753179,0.002734953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001404482,0.0002318301,0.9650727,0.0001615189,0.00019021,0.0001850611,0.0009230794,0.001238825,0.0004853951,0.00007183666,0.0001436469,0.02989129],"study_design_scores_gemma":[0.0001174484,0.005172894,0.958273,0.0001036813,0.0003645363,0.001861148,0.001357859,0.02697093,0.004429238,0.000250874,0.001039248,0.0000591459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943422,0.0004109557,0.003063616,0.0001929907,0.00002704453,0.0001401524,0.0004358048,0.0001407937,0.001246499],"genre_scores_gemma":[0.9967126,0.000099011,0.002686039,0.00004305744,0.00002106693,0.00002485641,0.0002974853,0.000007422618,0.000108633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02805679,"threshold_uncertainty_score":0.1483802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08674023022751497,"score_gpt":0.4885765405531667,"score_spread":0.4018363103256518,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}