{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009276664,0.0003652173,0.0005027681,0.001488246,0.0003464156,0.001034667,0.0003744142,0.0004878369,0.0007838488],"category_scores_gemma":[0.03243952,0.0002114902,0.0008154149,0.0008063687,0.0005961024,0.0007706195,0.0007081912,0.0003032647,0.0001617203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000748157,"about_ca_system_score_gemma":0.000580152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001184503,"about_ca_topic_score_gemma":0.001232159,"domain_scores_codex":[0.9937157,0.003268661,0.0009467444,0.0006123397,0.001139973,0.0003166212],"domain_scores_gemma":[0.9716555,0.0188509,0.003602026,0.0009819624,0.003880435,0.001029261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001623048,0.0013744,0.9721214,0.0002250933,0.000344759,0.000169638,0.002914828,0.0007345615,0.001257717,0.00003641299,0.0002394107,0.01895867],"study_design_scores_gemma":[0.0001529453,0.005989905,0.9847524,0.00003942641,0.0001657958,0.0004414161,0.001823915,0.005241606,0.001042027,0.00003349364,0.000272272,0.00004481295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995844,0.00003347881,0.0001893947,0.000008260391,0.000002512233,0.00003860133,0.00002997852,0.000003897715,0.0001095351],"genre_scores_gemma":[0.9993036,0.00002401917,0.0005092407,0.00001022577,0.000006097301,0.00004006745,0.00006875367,0.00000196528,0.00003606702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009276664,"threshold_uncertainty_score":0.04906023,"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."}}