{"id":"W2110792519","doi":"10.5430/jha.v5n1p41","title":"A case study: Applying quality improvement methods to reduce pre-operative length of stay in a resource-constrained setting in Rwanda","year":2015,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Schedule; Intervention (counseling); Elective surgery; Quality management; Emergency medicine; Quality (philosophy); Operations management; Surgery; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002007101,0.0006101909,0.0003219886,0.0007717225,0.004483308,0.001176809,0.001485646,0.002184281,0.00167986],"category_scores_gemma":[0.005839449,0.0003754022,0.0005206024,0.0006747246,0.001698835,0.0007339924,0.001578499,0.00194495,0.0001833694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003376205,"about_ca_system_score_gemma":0.00426332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009829109,"about_ca_topic_score_gemma":0.02057806,"domain_scores_codex":[0.9965628,0.002077454,0.0001361238,0.0001782139,0.0002219537,0.0008234581],"domain_scores_gemma":[0.9973232,0.0007692825,0.0006557298,0.0001081244,0.0002414248,0.0009022517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.0006744003,0.007644592,0.1789263,0.001789796,0.0001619288,0.5627644,0.1367442,0.004848912,0.009200952,0.007985149,0.01006071,0.07919865],"study_design_scores_gemma":[0.0004374144,0.01217117,0.2212499,0.00219058,0.0001823554,0.2579954,0.4316667,0.01005976,0.006268323,0.00343,0.05404913,0.0002993136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888073,0.000715946,0.002033693,0.003780348,0.0001038633,0.0004302535,0.00003363971,0.00001812963,0.004076919],"genre_scores_gemma":[0.992604,0.001026375,0.003973165,0.0006990963,0.00007922857,0.0002031265,0.00002393184,0.00001038598,0.001380647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009829109,"threshold_uncertainty_score":0.02449614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526607418610754,"score_gpt":0.4171824716387166,"score_spread":0.371916397452609,"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."}}