{"id":"W3005410934","doi":"10.2196/16502","title":"The Impact of Electronic Health Records on the Duration of Patients’ Visits: Time and Motion Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Jazan University","keywords":"Medicine; Observational study; Metropolitan area; Descriptive statistics; Family medicine; Duration (music); Medical emergency; Electronic health record; Workflow; Patient satisfaction; Health care; Nursing","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":[],"consensus_categories":[],"category_scores_codex":[0.003496562,0.0001409217,0.0003919402,0.00004537547,0.0004734771,0.000007261904,0.000260955,0.0001481664,0.0001531875],"category_scores_gemma":[0.001272705,0.00006869117,0.00005951637,0.0003306133,0.00006712692,0.0001174787,0.00008128737,0.001029873,0.0000630203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003865118,"about_ca_system_score_gemma":0.001881473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003226268,"about_ca_topic_score_gemma":0.0001268577,"domain_scores_codex":[0.9954726,0.001118486,0.001923664,0.00008831757,0.0008312474,0.0005657317],"domain_scores_gemma":[0.9964994,0.001429989,0.001287289,0.0002868788,0.0002087122,0.0002877353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.001694945,0.001909752,0.2754637,0.004583484,0.0005891715,6.894249e-7,0.3355559,0.00004896741,0.00001684996,0.006118485,0.1498331,0.2241849],"study_design_scores_gemma":[0.01136172,0.0564419,0.5841793,0.002063311,0.00006616084,0.00000402043,0.06798594,0.257225,0.00002646692,0.0007361124,0.01924825,0.0006618373],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889647,0.000063336,0.0001603847,0.006595657,0.0001003823,0.003473165,0.00001956373,0.00003321793,0.0005896312],"genre_scores_gemma":[0.99795,0.0001459083,0.000009095314,0.001564504,0.0001180823,0.0001295675,0.00002338934,0.00001324153,0.00004617027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3087156,"threshold_uncertainty_score":0.4474341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03342077467692022,"score_gpt":0.4163143529026551,"score_spread":0.3828935782257349,"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."}}