{"id":"W2559881125","doi":"10.2196/humanfactors.6642","title":"Impact of Structured Rounding Tools on Time Allocation During Multidisciplinary Rounds: An Observational Study","year":2016,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Hospital Admissions and Outcomes","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; Agency for Healthcare Research and Quality","keywords":"Observational study; Multidisciplinary approach; Rounding; Computer science; Medicine; Reliability engineering; Engineering; Internal medicine; Political science; Operating system","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":[0.005811873,0.0003437728,0.000543989,0.0009325365,0.001006368,0.001026445,0.0005547051,0.0005642053,0.001987581],"category_scores_gemma":[0.03341238,0.0005107861,0.0007471898,0.0009615467,0.0007476072,0.001038733,0.001292723,0.001566124,0.0003008463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001204164,"about_ca_system_score_gemma":0.002233525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0041901,"about_ca_topic_score_gemma":0.005217886,"domain_scores_codex":[0.9914642,0.004446426,0.001191592,0.0006279514,0.001607718,0.0006621144],"domain_scores_gemma":[0.9526547,0.02144285,0.01795397,0.002109315,0.002398358,0.003440827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001205659,0.002181364,0.9806322,0.0001799288,0.0001360227,0.0002132332,0.005007141,0.0001317945,0.0002886215,0.00004838156,0.000371141,0.009604445],"study_design_scores_gemma":[0.0001374143,0.006002125,0.9846218,0.0001278831,0.00008723006,0.0003904013,0.007035807,0.0004929323,0.0002736565,0.00006453034,0.0007173105,0.00004910932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992303,0.00008514813,0.0001679995,0.0000337734,0.000004557749,0.00009673958,0.0001075526,0.000002672837,0.000271369],"genre_scores_gemma":[0.9991079,0.0001068813,0.0003292975,0.00005371852,0.00001053248,0.0001605486,0.0001396186,0.000003461018,0.00008812411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005811873,"threshold_uncertainty_score":0.03073645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126497571159547,"score_gpt":0.4126879464933382,"score_spread":0.2861903753337911,"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."}}