{"id":"W2138230459","doi":"10.5555/1516744.1517006","title":"Simulation-based verification of Lean improvement for emergency room process","year":2008,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Overcrowding; Process (computing); Health care; Medical emergency; Lean manufacturing; Computer science; Process management; Risk analysis (engineering); Operations management; Business; Medicine; Engineering","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":[0.003458417,0.0007570487,0.0005031658,0.0006778002,0.0005172872,0.000999657,0.0008806789,0.0007472727,0.001811454],"category_scores_gemma":[0.009377991,0.0003985228,0.0007430146,0.0003700035,0.000807157,0.0006356645,0.0006896831,0.0008169638,0.0001033032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002151438,"about_ca_system_score_gemma":0.003204365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03323328,"about_ca_topic_score_gemma":0.01740655,"domain_scores_codex":[0.9987407,0.0006689097,0.00006766729,0.0001114167,0.0002473427,0.0001639947],"domain_scores_gemma":[0.9906009,0.006985452,0.0006253277,0.0004331807,0.001214269,0.0001407889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001038186,0.00005445371,0.0007907882,0.00002133231,0.000008890917,0.00001931731,0.00003433737,0.9956755,0.0004425283,0.001351795,0.00003605028,0.001461245],"study_design_scores_gemma":[0.00001509936,0.00003228568,0.0001020908,0.000002876068,0.000002783275,0.000001567525,0.000008868382,0.9990262,0.0005088889,0.0002383624,0.00005863893,0.000002327712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6776213,0.0001039764,0.3118146,0.0002570348,0.00006154978,0.000482288,0.0004292462,0.0008682953,0.008361634],"genre_scores_gemma":[0.9698099,0.00003059591,0.0294676,0.00001089426,0.000002864837,0.0001585535,0.0001126513,0.00001561146,0.0003913566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03323328,"threshold_uncertainty_score":0.06607968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09520284990963507,"score_gpt":0.3794299356032909,"score_spread":0.2842270856936558,"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."}}