{"id":"W190200500","doi":"","title":"Benefits and challenges of health information systems for operations research: an illustrative example to improve surgical scheduling.","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Health care; Computer science; Information system; Scheduling (production processes); Process management; Operations research; Operations management; Risk analysis (engineering); Business; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.02579354,0.0008145121,0.0006248611,0.002910661,0.002691735,0.00586872,0.0009197894,0.002752761,0.002614534],"category_scores_gemma":[0.04662321,0.0003925704,0.0008658036,0.007573864,0.002343521,0.00388351,0.002185735,0.0023264,0.0003283488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004020011,"about_ca_system_score_gemma":0.007816062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01040258,"about_ca_topic_score_gemma":0.0144248,"domain_scores_codex":[0.9795923,0.01705552,0.0005731027,0.0003103743,0.002157728,0.0003109968],"domain_scores_gemma":[0.8970224,0.08999495,0.001962656,0.002947518,0.006492782,0.001579712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008994406,0.0008684439,0.02605814,0.002048023,0.0002910739,0.002220927,0.004281485,0.08237305,0.002297814,0.5029835,0.05475622,0.3209218],"study_design_scores_gemma":[0.0003553644,0.0008249257,0.02187355,0.001403965,0.0002640819,0.0011851,0.01139115,0.19238,0.003286365,0.48681,0.2799659,0.0002595805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1360142,0.03878337,0.3362742,0.3901077,0.001891513,0.001403342,0.001449564,0.000506521,0.09356974],"genre_scores_gemma":[0.6567437,0.01283496,0.3200656,0.004329717,0.001332666,0.0005687071,0.0004340957,0.00006850807,0.003622007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02579354,"threshold_uncertainty_score":0.1364109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3664303265072666,"score_gpt":0.4471314209352565,"score_spread":0.0807010944279899,"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."}}