{"id":"W4226000164","doi":"10.34105/j.kmel.2021.13.025","title":"Computerized provider order entry and patient safety: A scoping review","year":2021,"lang":"en","type":"review","venue":"Knowledge Management & E-Learning An International Journal","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Patient safety; Order entry; Computerized physician order entry; Implementation; Health care; Medicine; Medical emergency; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01236085,0.001230223,0.003660488,0.01544806,0.001226281,0.003629694,0.001805609,0.00273473,0.004328125],"category_scores_gemma":[0.06369714,0.001056532,0.004021057,0.01999068,0.00126363,0.003323761,0.001861496,0.001568362,0.0006046241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005458671,"about_ca_system_score_gemma":0.02784564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02182143,"about_ca_topic_score_gemma":0.04030576,"domain_scores_codex":[0.9910603,0.002796423,0.002878797,0.0005325779,0.002443252,0.0002886558],"domain_scores_gemma":[0.9308998,0.0535097,0.006615348,0.0007465404,0.007782748,0.0004458133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008598121,0.00005091124,0.0008538011,0.7441999,0.001303143,0.000138608,0.0006932595,0.0002732566,0.0001557551,0.00130616,0.005555805,0.2453835],"study_design_scores_gemma":[0.00002164699,0.0000753045,0.001852438,0.949743,0.003736648,0.000273195,0.0005133375,0.00008250438,0.0001355887,0.0003817508,0.04316287,0.00002158821],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003514861,0.9982528,0.0001455402,0.0003498677,0.0001187769,0.0001550397,0.00007999589,0.000004025334,0.0005423804],"genre_scores_gemma":[0.002803068,0.9964134,0.0002800171,0.0001460578,0.00004496972,0.0001543872,0.00006929019,0.000002114422,0.00008669298],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02182143,"threshold_uncertainty_score":0.06537122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08171080965512392,"score_gpt":0.4937744456761897,"score_spread":0.4120636360210658,"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."}}