{"id":"W2411028846","doi":"10.3233/978-1-58603-979-0-273","title":"Preventing Technology-Induced Errors in Healthcare: The Role of Simulation","year":2009,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Usability; Computer science; Health care; Phase (matter); Health information technology; Health records; Closing (real estate); Computerized physician order entry; Scale (ratio); Data science; Data mining; Human–computer interaction","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":[0.009700841,0.0009852322,0.001103178,0.001419578,0.0007908326,0.003561592,0.002527677,0.002297953,0.002561054],"category_scores_gemma":[0.04625641,0.0005316951,0.001056,0.0008294299,0.003648841,0.004473892,0.002651106,0.002115609,0.000272528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522421,"about_ca_system_score_gemma":0.005171733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003903639,"about_ca_topic_score_gemma":0.002696266,"domain_scores_codex":[0.9884251,0.009745139,0.0002937258,0.0004972033,0.0008608573,0.0001779394],"domain_scores_gemma":[0.9341313,0.05924727,0.001994583,0.002572597,0.001335561,0.0007187738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002671728,0.000667954,0.0137217,0.0006128108,0.0003150643,0.0001804151,0.001398358,0.7486808,0.00098089,0.1506276,0.001737745,0.08080934],"study_design_scores_gemma":[0.0001352388,0.0005118981,0.001459173,0.0003386134,0.00006991892,0.0001268588,0.0005771117,0.825468,0.0006442901,0.1637009,0.006890717,0.0000772505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07110412,0.002902135,0.8916328,0.0132109,0.0004521754,0.000497539,0.0001265762,0.0003697583,0.01970402],"genre_scores_gemma":[0.6826562,0.003045675,0.3110765,0.0007319349,0.0002322885,0.0007821081,0.0001268054,0.0000617019,0.001286801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009700841,"threshold_uncertainty_score":0.05130351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07334424356239498,"score_gpt":0.4722660631887828,"score_spread":0.3989218196263878,"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."}}