{"id":"W4386346970","doi":"10.2196/46760","title":"Diagnostic Performance, Triage Safety, and Usability of a Clinical Decision Support System Within a University Hospital Emergency Department: Algorithm Performance and Usability Study","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Kuopion Yliopistollinen Sairaala","keywords":"Usability; Triage; Clinical decision support system; Medical emergency; Medicine; Emergency department; Medical diagnosis; Medical record; Health informatics; Patient safety; Emergency medicine; Health care; Decision support system; Nursing; Public health; Computer science; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01583779,0.0003044496,0.001212223,0.0002021412,0.0007645806,0.000007992139,0.0004023681,0.0005566099,0.0001730352],"category_scores_gemma":[0.00327819,0.00024712,0.0001008932,0.0008452781,0.0003554208,0.0005259981,0.0006630551,0.001426382,0.0001420104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003854188,"about_ca_system_score_gemma":0.001582041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001469244,"about_ca_topic_score_gemma":0.0001496367,"domain_scores_codex":[0.9915183,0.001195175,0.004674676,0.0003762154,0.001361737,0.0008739599],"domain_scores_gemma":[0.9922926,0.004592513,0.001221932,0.0006684721,0.0003020469,0.0009224582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002982934,0.0004018313,0.8910353,0.004557381,0.00005440364,0.00001326391,0.01428341,0.000003230368,3.011165e-8,0.00005420805,0.001239086,0.08805954],"study_design_scores_gemma":[0.00497466,0.003116328,0.8382412,0.0009056913,0.00006230945,0.00001311673,0.02945355,0.1190415,3.811739e-7,0.00001190005,0.003917353,0.000262032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918427,0.00002420561,0.0004747073,0.0001235892,0.001645191,0.004763973,0.00008794982,0.0002097096,0.0008279686],"genre_scores_gemma":[0.9973608,0.001460111,0.0005801481,0.00004226913,0.0001855649,0.000120631,0.00004262568,0.00002050514,0.0001873011],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1190383,"threshold_uncertainty_score":0.9999981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03892536309483734,"score_gpt":0.4145402310897021,"score_spread":0.3756148679948647,"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."}}