{"id":"W7132905704","doi":"","title":"Evaluating the Efficiency, Usability and Safety of Computerized Order Sets in Sunnybrook Health Sciences Centre's Computerized Provider Order Entry System","year":2009,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Usability; Order (exchange); Set (abstract data type); Test (biology); Computerized physician order entry; Heuristic evaluation; Order entry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01420974,0.0003992102,0.0005507216,0.0007577611,0.0008075004,0.001764815,0.0007164805,0.0004940875,0.002959944],"category_scores_gemma":[0.07734629,0.0003963509,0.0005507922,0.0009584626,0.0006237975,0.001440309,0.0005199435,0.0005291526,0.0004010993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003040895,"about_ca_system_score_gemma":0.004242437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006938856,"about_ca_topic_score_gemma":0.01194131,"domain_scores_codex":[0.9854087,0.008085241,0.001488887,0.0005751887,0.004039876,0.0004020486],"domain_scores_gemma":[0.8941385,0.08640825,0.006965662,0.001769103,0.009386804,0.001331731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01191398,0.02388666,0.1949094,0.00603724,0.0004819465,0.0002883457,0.02872572,0.004263699,0.024705,0.0007448255,0.004267755,0.6997754],"study_design_scores_gemma":[0.003214589,0.1164757,0.7669514,0.001800432,0.00101592,0.0004980434,0.02119506,0.01490914,0.06379003,0.0004615288,0.009314358,0.000373751],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967232,0.0002099478,0.0009641427,0.0001118603,0.00000874619,0.000447068,0.00004769458,0.00002283856,0.001464474],"genre_scores_gemma":[0.9756875,0.0008695335,0.02074528,0.0001344397,0.00002059011,0.0005360419,0.0001909035,0.00002676248,0.001788879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01420974,"threshold_uncertainty_score":0.07514924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09758241147498918,"score_gpt":0.5193459425646546,"score_spread":0.4217635310896654,"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."}}