{"id":"W2087209070","doi":"10.1542/peds.112.3.506","title":"The Effect of Computerized Physician Order Entry on Medication Errors and Adverse Drug Events in Pediatric Inpatients","year":2003,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":281,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Agency for Healthcare Research and Quality","keywords":"Medicine; Computerized physician order entry; Order entry; Confidence interval; Emergency medicine; Patient safety; Adverse effect; Retrospective cohort study; Medication error; Electronic medical record; Adverse drug event; Medical record; Pediatrics; Medical emergency; Health care; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.003284322,0.0002719686,0.000324064,0.0007190597,0.0002389733,0.0006542797,0.0004014456,0.0004377584,0.001344505],"category_scores_gemma":[0.04004709,0.0001951924,0.0007885168,0.0009293712,0.0003316256,0.0006863111,0.0006212394,0.0005919351,0.0001048096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008230907,"about_ca_system_score_gemma":0.001305759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004103648,"about_ca_topic_score_gemma":0.004465339,"domain_scores_codex":[0.9928537,0.003190012,0.0006942034,0.0005065709,0.002170646,0.0005848723],"domain_scores_gemma":[0.9635118,0.01467695,0.01773912,0.001119075,0.001636852,0.001316203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001134893,0.0004380824,0.979914,0.00009419049,0.0001892306,0.0001042739,0.0001048172,0.0001474448,0.0001498883,0.00002438217,0.0001895926,0.01750924],"study_design_scores_gemma":[0.00004635132,0.001430313,0.9976707,0.00004387609,0.00005057125,0.0001814978,0.00006148346,0.0002205965,0.0001307345,0.000007041732,0.0001529419,0.000003855012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998542,0.0006472534,0.00007038185,0.000148413,0.00001089034,0.0000277984,0.0001352949,0.00000562483,0.0004125074],"genre_scores_gemma":[0.9990535,0.0003952778,0.000239591,0.00004490033,0.00003009795,0.00002021706,0.0001473447,0.000002586353,0.00006639744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004103648,"threshold_uncertainty_score":0.01736933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01218088322193814,"score_gpt":0.3469557349470156,"score_spread":0.3347748517250774,"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."}}