{"id":"W1531552695","doi":"10.1108/14777271211251309","title":"Lean and queuing integration for the transformation of health care processes","year":2012,"lang":"en","type":"article","venue":"Clinical Governance An International Journal","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal University Hospital; PotashCorp (Canada)","funders":"","keywords":"Lean manufacturing; Flexibility (engineering); Value stream mapping; Health care; Process management; Operations management; Triage; Computer science; Queueing theory; Process (computing); Business; Medicine; Engineering; Medical emergency","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002969846,0.00008285115,0.0001861453,0.00003231514,0.0007374222,0.00003330331,0.0001970599,0.0001028534,0.00004056829],"category_scores_gemma":[0.001752985,0.00005548903,0.0000602926,0.00007833409,0.00005815337,0.0009464988,0.00001745756,0.0004547723,0.000002871364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001572216,"about_ca_system_score_gemma":0.0007809551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001198335,"about_ca_topic_score_gemma":0.0002798032,"domain_scores_codex":[0.9979348,0.0002842041,0.001174917,0.00010464,0.0002818854,0.000219601],"domain_scores_gemma":[0.9967573,0.0008550244,0.0008352311,0.0001000747,0.001332355,0.0001200318],"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":[0.0003790216,0.0002519396,0.1664078,0.000344082,0.0001065692,2.471905e-7,0.0625189,0.0006620462,0.00002070313,0.05878114,0.001550059,0.7089775],"study_design_scores_gemma":[0.006461668,0.001641703,0.7264318,0.002649191,0.0001104159,0.00005664616,0.09266237,0.02624444,0.0001356878,0.001533528,0.1415146,0.0005578723],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4987886,0.004715646,0.466377,0.02237218,0.005739971,0.001279771,0.0001468144,0.00003517736,0.0005448912],"genre_scores_gemma":[0.9846391,0.00531788,0.006518896,0.001783132,0.001576004,0.00004173246,0.00005367431,0.00001240981,0.00005714294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7084197,"threshold_uncertainty_score":0.567173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1824783343518361,"score_gpt":0.5496235084094325,"score_spread":0.3671451740575964,"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."}}