{"id":"W3196803395","doi":"10.1002/hpm.3310","title":"Lean management for improving hospital waiting times—Case study of a Vietnamese public/general hospital emergency department","year":2021,"lang":"en","type":"article","venue":"The International Journal of Health Planning and Management","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Langara College","funders":"","keywords":"Overcrowding; Value stream mapping; Public hospital; Operations management; Lean manufacturing; Psychological intervention; Medical emergency; Business; Health care; Emergency department; Lean Six Sigma; Medicine; Emergency medicine; Six Sigma; 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":[0.002507594,0.0002327839,0.0003710311,0.0003876895,0.0004212589,0.0002783036,0.0005419301,0.00002807824,0.00005140401],"category_scores_gemma":[0.00006161522,0.000187134,0.0001614257,0.0002361458,0.00003444563,0.0005612255,0.0007463777,0.0001667977,0.000003118325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089484,"about_ca_system_score_gemma":0.00003628356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002250045,"about_ca_topic_score_gemma":0.000052872,"domain_scores_codex":[0.9971734,0.00005835639,0.001245279,0.0003177098,0.0008158236,0.0003894498],"domain_scores_gemma":[0.9978464,0.00005122114,0.001296255,0.0002481152,0.0005166566,0.00004140442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007326258,0.01130543,0.04393139,0.007501318,0.0102968,0.01541733,0.01502141,0.006083481,0.00002775813,0.3044731,0.1100856,0.4751238],"study_design_scores_gemma":[0.02259947,0.003310876,0.0290977,0.00168693,0.002182267,0.0008786223,0.5644868,0.03786099,0.00004054737,0.01746214,0.3182995,0.00209423],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690495,0.001019219,0.00619145,0.01820572,0.002518089,0.00137106,0.00000913184,0.00003445948,0.001601406],"genre_scores_gemma":[0.9959837,0.0001621549,0.001330932,0.001170932,0.0007226355,0.00006873704,0.00002825877,0.00002593148,0.0005067412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5494654,"threshold_uncertainty_score":0.7631105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03336470424595251,"score_gpt":0.3141265539189639,"score_spread":0.2807618496730114,"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."}}