{"id":"W2314421968","doi":"10.1097/qmh.0b013e3181bee127","title":"Process Improvement in Hospitals","year":2009,"lang":"en","type":"article","venue":"Quality Management in Health Care","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nickel Institute","funders":"","keywords":"Radiological weapon; Process (computing); Medical emergency; Patient care; Service (business); Idle; Discrete event simulation; Computer science; Emergency department; Operations management; Medicine; Simulation; Business; Radiology; Nursing; 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":[0.007788658,0.001035695,0.0005140106,0.001828754,0.001417313,0.003470748,0.001138799,0.001103257,0.002303754],"category_scores_gemma":[0.01171147,0.0003431096,0.0006458244,0.003554445,0.000960341,0.00215343,0.001840608,0.001020604,0.0003757492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005370016,"about_ca_system_score_gemma":0.009433272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008581107,"about_ca_topic_score_gemma":0.005173021,"domain_scores_codex":[0.9894048,0.007003392,0.0004791971,0.0007310257,0.001346687,0.001034835],"domain_scores_gemma":[0.9902852,0.004580101,0.001788032,0.0008607697,0.001942229,0.0005437573],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005202035,0.001417557,0.02387577,0.001768352,0.0002230082,0.0005780422,0.003854868,0.4431512,0.008607714,0.08430476,0.006213088,0.4254855],"study_design_scores_gemma":[0.0005863108,0.003605993,0.02942402,0.001361283,0.0003128255,0.0004264115,0.01087363,0.6719463,0.02691748,0.1135139,0.1408176,0.000214422],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3668869,0.004980773,0.5507129,0.0106211,0.0002453522,0.002584643,0.0004497194,0.002112132,0.06140658],"genre_scores_gemma":[0.8835325,0.001659837,0.1117782,0.0003015633,0.00004701488,0.0003475035,0.0002658791,0.00003502076,0.002032551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008581107,"threshold_uncertainty_score":0.04119086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05872612600139993,"score_gpt":0.5042057455448036,"score_spread":0.4454796195434036,"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."}}