{"id":"W2125234392","doi":"10.1177/1460458214534091","title":"eWasted time: Redundant work during hospital admission and discharge","year":2014,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; University of Toronto; Health Sciences Centre; University Health Network","funders":"","keywords":"Workflow; Health information technology; Work (physics); Health care; Task (project management); Information technology; Medical emergency; Computer science; Work time; Fragmentation (computing); Health informatics; Medicine; Medical education; Operations management; Nursing; Public health; Database; Engineering","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":[0.004524571,0.0005726094,0.0005084383,0.002864877,0.00152021,0.001346507,0.0009381304,0.0005225266,0.003523899],"category_scores_gemma":[0.03279004,0.0004017285,0.0008116149,0.001704791,0.0007699963,0.0009980606,0.00234228,0.0007779206,0.0005658145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885317,"about_ca_system_score_gemma":0.001763706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005609137,"about_ca_topic_score_gemma":0.009597891,"domain_scores_codex":[0.9922387,0.002753973,0.001679804,0.0005285052,0.002073974,0.0007251623],"domain_scores_gemma":[0.9746978,0.008042855,0.01053083,0.001874165,0.00293944,0.001914871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001767916,0.000491493,0.8330077,0.001012528,0.00046369,0.0008489573,0.01445178,0.001365012,0.004827086,0.0006942839,0.003102592,0.137967],"study_design_scores_gemma":[0.00002633374,0.000773665,0.9830825,0.0002898567,0.00007966028,0.0006171002,0.008715617,0.0009595202,0.001119461,0.0005408005,0.003727769,0.00006766511],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888704,0.0008004812,0.003820884,0.0004057392,0.00007305113,0.0002138891,0.001191154,0.00009469815,0.004529805],"genre_scores_gemma":[0.9938238,0.000390555,0.003653807,0.0001799822,0.00003798467,0.0001805015,0.0007055509,0.00002722627,0.001000591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005609137,"threshold_uncertainty_score":0.02392852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01914364112947106,"score_gpt":0.3645961720305063,"score_spread":0.3454525309010352,"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."}}