{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002836932,0.0001699869,0.0003662602,0.0003221412,0.0004175103,0.00001531274,0.0001817659,0.0001398992,0.00009827151],"category_scores_gemma":[0.0001067501,0.000172307,0.00003368194,0.0006948857,0.00001253415,0.000174593,0.0000410396,0.0005084152,0.00004839429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001163281,"about_ca_system_score_gemma":0.0003931312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001931232,"about_ca_topic_score_gemma":0.002340473,"domain_scores_codex":[0.995953,0.0008396125,0.0016378,0.000451809,0.0003568596,0.0007608987],"domain_scores_gemma":[0.998894,0.00008641818,0.0002839878,0.0004052167,0.0001756301,0.0001547835],"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":[0.0002649774,0.0008252027,0.2354934,0.01990366,0.00002560432,0.00004455891,0.1484925,0.01758682,0.000008183903,0.1402755,0.00241042,0.4346692],"study_design_scores_gemma":[0.004668321,0.0009302794,0.7834482,0.002168996,0.000006630836,2.10003e-7,0.192851,0.002343112,0.000007612256,0.004036794,0.008829679,0.0007091467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9084511,0.0009847688,0.001466981,0.05692565,0.0007280196,0.007856765,0.00003074682,0.0001974267,0.02335859],"genre_scores_gemma":[0.9799795,0.0004616896,0.002891365,0.01548335,0.00007921539,0.0004804207,0.0001396031,0.00001548324,0.0004693824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5479548,"threshold_uncertainty_score":0.7026474,"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."}}