{"id":"W4293048765","doi":"10.1007/s43678-022-00354-5","title":"Physician experience with the Epic electronic health record (EHR) system: longitudinal findings from an emergency department implementation","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Emergency department; EPIC; Electronic health record; Health records; Medical emergency; Emergency medicine; Electronic medical record; Family medicine; Health care; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005318152,0.0002176208,0.0002909473,0.001168958,0.001739721,0.002313913,0.00102497,0.0012506,0.001893567],"category_scores_gemma":[0.02392464,0.0005430816,0.0005257041,0.001299688,0.0009680073,0.002623856,0.002474926,0.002343608,0.000403871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002659307,"about_ca_system_score_gemma":0.004910683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06198168,"about_ca_topic_score_gemma":0.08428545,"domain_scores_codex":[0.9953557,0.001708284,0.0003964032,0.0004301541,0.001160854,0.0009486293],"domain_scores_gemma":[0.9803867,0.00462708,0.005486183,0.0007663807,0.005106738,0.003627067],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001856592,0.00243504,0.9702863,0.00003707034,0.00006852188,0.0002808183,0.01730428,0.00006718963,0.000276475,0.0000937694,0.0006861566,0.008278748],"study_design_scores_gemma":[0.00001212869,0.0004526172,0.9841124,0.00002613199,0.00001955522,0.00009003546,0.0144119,0.0001596581,0.00009209073,0.00002140864,0.0005878642,0.00001413212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989967,0.00004850242,0.00005313732,0.0003026921,0.000005116757,0.00002785481,0.00009559392,0.000002972358,0.0004674731],"genre_scores_gemma":[0.9984414,0.0001284191,0.0001916703,0.0003086004,0.00001085545,0.0000418267,0.0002137054,0.00000518339,0.0006583499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06198168,"threshold_uncertainty_score":0.1232418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1047734773945085,"score_gpt":0.4583811842008357,"score_spread":0.3536077068063272,"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."}}