{"id":"W4302018984","doi":"10.1055/s-0042-1756424","title":"Accuracy of Physician Electronic Health Record Usage Analytics using Clinical Test Cases","year":2022,"lang":"en","type":"article","venue":"Applied Clinical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; The Scarborough Hospital; University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Computer science; Test (biology); Workflow; Analytics; Electronic health record; Data science; Predictive analytics; Health records; Data mining; Health care; Database","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":[0.03521685,0.0007638934,0.0006523967,0.003965808,0.0007330247,0.00475358,0.00161025,0.001179645,0.0005855246],"category_scores_gemma":[0.2459267,0.0004398079,0.0007981159,0.003612781,0.001320545,0.002479162,0.002266224,0.001052545,0.0007495433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173242,"about_ca_system_score_gemma":0.001547781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01186327,"about_ca_topic_score_gemma":0.01024754,"domain_scores_codex":[0.9409836,0.02041917,0.009595779,0.007321931,0.01985257,0.001827],"domain_scores_gemma":[0.7522426,0.1394031,0.03839656,0.02854745,0.03947821,0.001932006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000806971,0.0003137014,0.90209,0.000340717,0.0003855219,0.0002409989,0.002677622,0.00672703,0.003981291,0.0004595906,0.002529796,0.07944683],"study_design_scores_gemma":[0.00007378667,0.001045456,0.8495963,0.0005713879,0.0002845852,0.001242438,0.002897686,0.1022754,0.02900198,0.001700017,0.011144,0.0001670312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676344,0.0008365145,0.02143191,0.0008391081,0.0002228918,0.0002627199,0.003538313,0.001126152,0.004107871],"genre_scores_gemma":[0.9900901,0.000139908,0.006901522,0.0001272778,0.00003509609,0.00005518685,0.002288844,0.00006436079,0.0002976882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03521685,"threshold_uncertainty_score":0.1862468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2321979986705113,"score_gpt":0.5396727032459745,"score_spread":0.3074747045754632,"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."}}