{"id":"W180928679","doi":"10.1007/978-3-642-03885-3_90","title":"Improving Safety in Healthcare through the Establishment of a Healthcare Human Factors Team","year":2009,"lang":"en","type":"book-chapter","venue":"World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Health care; Workflow; Usability; Knowledge management; Government (linguistics); Patient safety; Variety (cybernetics); Engineering; Process management; Business; Computer science; Human–computer interaction; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005759209,0.0006579565,0.0004002934,0.0009544661,0.003510729,0.00494341,0.001194203,0.002526212,0.01060925],"category_scores_gemma":[0.005119516,0.0004229568,0.0007555607,0.0006077332,0.002237847,0.003758708,0.005883405,0.004978829,0.004189827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002276565,"about_ca_system_score_gemma":0.0143973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003067926,"about_ca_topic_score_gemma":0.004350923,"domain_scores_codex":[0.9948851,0.001837534,0.0001888504,0.0004189927,0.002217806,0.0004517271],"domain_scores_gemma":[0.9957482,0.001051254,0.0002627801,0.0002039731,0.001164905,0.001568813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005265848,0.0007067997,0.002430767,0.0005135883,0.00004061184,0.0003525552,0.01541553,0.001082375,0.003342824,0.05802147,0.2133057,0.7047352],"study_design_scores_gemma":[0.00004794029,0.0004689851,0.004779517,0.001599571,0.00003495429,0.001140118,0.009233986,0.002258145,0.001793032,0.03070278,0.9478656,0.00007529245],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02645899,0.01851909,0.2645261,0.1106544,0.01486183,0.00157893,0.0001345344,0.001823449,0.5614427],"genre_scores_gemma":[0.2298748,0.0219421,0.3851278,0.03357216,0.003575642,0.001806359,0.0003489933,0.000704834,0.3230473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01060925,"threshold_uncertainty_score":0.03549147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03938886380423579,"score_gpt":0.3517556568161233,"score_spread":0.3123667930118875,"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."}}