{"id":"W4390331028","doi":"10.2196/preprints.55314","title":"Effect of an Electronic Medical Record-Based Clinical Decision Support System on Adherence to Clinical Protocols: An Interrupted Time Series Study in Inflammatory Bowel Disease (Preprint)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Alberta","funders":"","keywords":"Clinical decision support system; Medicine; Electronic health record; Medical record; Electronic medical record; Health informatics; Family medicine; Interrupted time series; Disease; Point of care; Medical emergency; Health care; Decision support system; Nursing; Internal medicine; Psychological intervention; Public health; Data mining; Computer science","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":[0.01884311,0.0004037586,0.0007672372,0.0007845209,0.0007042912,0.001429106,0.0009770013,0.0009109822,0.0021534],"category_scores_gemma":[0.06343393,0.0005032298,0.001608185,0.001620436,0.0005697593,0.001205835,0.00110169,0.001935927,0.0003607057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001892249,"about_ca_system_score_gemma":0.002293204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009542439,"about_ca_topic_score_gemma":0.005269621,"domain_scores_codex":[0.9840811,0.01044478,0.001618972,0.001197304,0.001740555,0.0009172385],"domain_scores_gemma":[0.9493008,0.02737455,0.01324583,0.003535799,0.003156879,0.00338611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.05925731,0.0187606,0.865431,0.0007534818,0.002388512,0.0001979937,0.00498896,0.0009630453,0.0005636073,0.0003898123,0.00123379,0.04507187],"study_design_scores_gemma":[0.001810679,0.02803825,0.9617368,0.0001770592,0.0009163247,0.0000806406,0.00168011,0.003960749,0.0003407468,0.0001761795,0.001016688,0.0000657003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985863,0.0002940281,0.0003168332,0.0001138032,0.00002790927,0.0001483691,0.0001484313,0.000005926526,0.00035854],"genre_scores_gemma":[0.9981112,0.0001760816,0.0005215259,0.0001179779,0.00003590243,0.0004008684,0.000316016,0.00000796003,0.0003124002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01884311,"threshold_uncertainty_score":0.09965312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150073871799587,"score_gpt":0.5515297976877765,"score_spread":0.4365224105078179,"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."}}