{"id":"W2931629731","doi":"10.1177/0840470419829844","title":"A tactical framework for EMR adoption","year":2019,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ottawa Mental Health Centre; University of Ottawa","funders":"","keywords":"Workflow; Healthcare delivery; Knowledge management; Health care; Business; Set (abstract data type); Health information technology; Conceptual framework; Process management; Information system; Conceptual model; Diversity (politics); Electronic medical record; Computer science; Internet privacy; Engineering; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001636829,0.0002698409,0.0005018123,0.0002256843,0.0008149056,0.00001699128,0.0003011485,0.0004876694,0.0006442016],"category_scores_gemma":[0.0001226676,0.0002584981,0.0001418265,0.0003768472,0.00002068577,0.0001520614,0.0001798555,0.001074246,0.003426295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001083403,"about_ca_system_score_gemma":0.000374432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003940006,"about_ca_topic_score_gemma":0.0004395467,"domain_scores_codex":[0.9951305,0.0005635565,0.00102436,0.00066504,0.0004599047,0.002156648],"domain_scores_gemma":[0.9973248,0.0008578036,0.0003958976,0.0008516769,0.0001995358,0.0003703449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002192475,0.00005790411,0.03740222,0.008477598,0.00005123354,0.000003189879,0.000446373,0.000002097363,0.000002391391,0.8984764,0.03028328,0.02457808],"study_design_scores_gemma":[0.001616186,0.0007407169,0.008114845,0.001474071,0.00002956857,0.000002393942,0.009386314,0.0006757954,0.000002578861,0.05444854,0.9231594,0.0003496561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06204507,0.002673814,0.3870669,0.3418392,0.02772691,0.05775477,0.0001611194,0.002139571,0.1185926],"genre_scores_gemma":[0.9088027,0.0004672818,0.03034128,0.02862621,0.001158258,0.004911316,0.0001293657,0.0001736591,0.02538996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.892876,"threshold_uncertainty_score":0.9999867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05630581487166307,"score_gpt":0.4577644653037855,"score_spread":0.4014586504321224,"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."}}