{"id":"W4407817534","doi":"10.3233/978-1-58603-979-0-24","title":"Benefits and Challenges of Health Information Systems for Operations Research: An Illustrative Example to Improve Surgical Scheduling","year":2009,"lang":"en","type":"book-chapter","venue":"Studies in health technology and informatics","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Scheduling (production processes); Operations research; Operations management; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003596993,0.0005870797,0.0003608862,0.001377115,0.00127707,0.004257139,0.0006213537,0.001616664,0.003403227],"category_scores_gemma":[0.004598886,0.0002699276,0.0005396406,0.004371602,0.001604606,0.003423563,0.001143465,0.001980801,0.0007679774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003454876,"about_ca_system_score_gemma":0.003624355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009805728,"about_ca_topic_score_gemma":0.01574202,"domain_scores_codex":[0.9983858,0.000969785,0.00006464974,0.00006714815,0.0004611613,0.00005148245],"domain_scores_gemma":[0.9935166,0.00555256,0.00007572271,0.0001996168,0.0005463235,0.0001092221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004123177,0.0000724625,0.0007326708,0.0004173836,0.00002086013,0.0005454257,0.001467622,0.01022763,0.0006089868,0.722792,0.1082057,0.154868],"study_design_scores_gemma":[0.00002387334,0.00006090111,0.001350587,0.0004397616,0.00002223715,0.0003511655,0.00147495,0.01774121,0.0007386213,0.2413822,0.7363726,0.00004177521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01917601,0.08679856,0.2345376,0.1782904,0.003414823,0.0003760227,0.0007018692,0.0005142563,0.4761904],"genre_scores_gemma":[0.2354641,0.08305106,0.4767561,0.0147633,0.004335078,0.0004742576,0.0008240769,0.0003297158,0.1840023],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009805728,"threshold_uncertainty_score":0.02506703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3945837463156318,"score_gpt":0.4931446963024585,"score_spread":0.09856094998682674,"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."}}