{"id":"W2148952715","doi":"10.1017/s1481803500012021","title":"Applying the Lean principles of the Toyota Production System to reduce wait times in the emergency department","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":190,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôtel-Dieu Grace Healthcare","funders":"","keywords":"Emergency department; Lean manufacturing; Toyota Production System; Medicine; Value stream mapping; Triage; Quality management; Patient satisfaction; Medical emergency; Patient care; Emergency medicine; Operations management; Kaizen; Nursing; Management system; Engineering","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":[0.002243869,0.0004290244,0.0003852884,0.0009454268,0.0008259877,0.001517904,0.0007895525,0.0003375545,0.002941252],"category_scores_gemma":[0.007308238,0.0002513128,0.0003706098,0.001080331,0.000439272,0.0007354681,0.001267481,0.0007274331,0.0003625733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001122967,"about_ca_system_score_gemma":0.004470175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005404575,"about_ca_topic_score_gemma":0.008360422,"domain_scores_codex":[0.9983596,0.0007128601,0.0001007369,0.00009495238,0.0005668154,0.0001650169],"domain_scores_gemma":[0.9965758,0.001623296,0.0003702699,0.000184513,0.0009229998,0.0003231015],"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":[0.002324789,0.001879018,0.04626344,0.001137228,0.0002089884,0.0007539733,0.003919454,0.05802191,0.02593508,0.009621946,0.01051993,0.8394141],"study_design_scores_gemma":[0.003256111,0.01846762,0.1934038,0.001660931,0.001220145,0.00291593,0.02265864,0.48755,0.07589377,0.07485862,0.1174477,0.0006668235],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6488465,0.001044012,0.3196098,0.003574631,0.0005097696,0.0008079961,0.0003054492,0.001400101,0.02390178],"genre_scores_gemma":[0.8861375,0.0003147901,0.1107784,0.0002804526,0.00004786484,0.0001689831,0.0001465677,0.00006507929,0.002060205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005404575,"threshold_uncertainty_score":0.01186687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06132992213980708,"score_gpt":0.3234205476765078,"score_spread":0.2620906255367007,"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."}}