{"id":"W2761341529","doi":"10.2196/humanfactors.7978","title":"Workarounds Emerging From Electronic Health Record System Usage: Consequences for Patient Safety, Effectiveness of Care, and Efficiency of Care","year":2017,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workaround; Workflow; Patient safety; Scope (computer science); Health care; Medicine; Nursing; Process management; Business; Computer science; Database","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":[0.02730882,0.0005370966,0.0003744769,0.002243615,0.002997934,0.004840501,0.0009152636,0.001456584,0.001263358],"category_scores_gemma":[0.08633522,0.0004916361,0.001011623,0.001658935,0.004418248,0.003251355,0.004152618,0.001640551,0.0002376317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003701753,"about_ca_system_score_gemma":0.00576613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002085232,"about_ca_topic_score_gemma":0.002110142,"domain_scores_codex":[0.9638538,0.02112642,0.003962232,0.001331729,0.007501752,0.002224092],"domain_scores_gemma":[0.8575015,0.08859652,0.03450126,0.005959589,0.01086021,0.002580855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007476024,0.0008714797,0.5487909,0.001978759,0.0003956142,0.0025342,0.1557271,0.002305606,0.008163027,0.009905648,0.003511226,0.2650688],"study_design_scores_gemma":[0.0001393508,0.001481972,0.642426,0.002898187,0.0003220611,0.004461423,0.2988884,0.004981873,0.008349905,0.01642013,0.01938622,0.0002444559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793856,0.001316321,0.01039701,0.003288004,0.00007420548,0.0001856623,0.00007558308,0.0001084123,0.005169018],"genre_scores_gemma":[0.9954516,0.0005324796,0.003415584,0.0003043709,0.0000221857,0.00005801313,0.00004299764,0.00001300408,0.0001597094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02730882,"threshold_uncertainty_score":0.1444246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03789002405398672,"score_gpt":0.4181768954894617,"score_spread":0.380286871435475,"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."}}