{"id":"W4391474506","doi":"10.2196/55314","title":"The Effect of an Electronic Medical Record–Based Clinical Decision Support System on Adherence to Clinical Protocols in Inflammatory Bowel Disease Care: Interrupted Time Series Study","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Alberta","funders":"","keywords":"Medicine; Inflammatory bowel disease; Interrupted Time Series Analysis; Electronic medical record; Clinical decision support system; Medical record; Disease; Electronic health record; Decision support system; Intensive care medicine; Pediatrics; Emergency medicine; Medical emergency; Internal medicine; Data mining; Health care; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.04289619,0.0005437788,0.0009672297,0.001225559,0.0006291659,0.001582796,0.001360844,0.0009726134,0.002812763],"category_scores_gemma":[0.151797,0.0005356067,0.002300177,0.001880942,0.0007730047,0.001518418,0.001247315,0.002065934,0.000413665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708246,"about_ca_system_score_gemma":0.001967016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005483171,"about_ca_topic_score_gemma":0.002214476,"domain_scores_codex":[0.9621909,0.02719124,0.003205732,0.001879622,0.004288623,0.001243979],"domain_scores_gemma":[0.8076102,0.134449,0.03262528,0.01230462,0.007833794,0.00517715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.08167187,0.01461985,0.8296649,0.0007520138,0.004501606,0.0002354779,0.003855533,0.002971516,0.0005065773,0.0005543347,0.0008640186,0.05980231],"study_design_scores_gemma":[0.00197935,0.04419621,0.9322059,0.0002693378,0.002292651,0.0001712783,0.001339823,0.01469071,0.0007906583,0.0003938084,0.001579873,0.00009033619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972965,0.0004405476,0.0009510965,0.0001212453,0.00004010698,0.0002031278,0.0001947115,0.00001170996,0.0007409157],"genre_scores_gemma":[0.9979432,0.0001794628,0.0007579652,0.00007938362,0.00004463303,0.0003569563,0.0003327295,0.00001099012,0.000294703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04289619,"threshold_uncertainty_score":0.2268595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04302572881067898,"score_gpt":0.5168722428009087,"score_spread":0.4738465139902297,"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."}}