{"id":"W2162518516","doi":"10.1111/j.1532-5415.2008.02004.x","title":"Effect of Computerized Provider Order Entry with Clinical Decision Support on Adverse Drug Events in the Long‐Term Care Setting","year":2008,"lang":"en","type":"article","venue":"Journal of the American Geriatrics Society","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto; St. Michael's Hospital","funders":"Agency for Healthcare Research and Quality","keywords":"Medicine; Adverse effect; Emergency medicine; Computerized physician order entry; Intervention (counseling); Drug; Clinical trial; Randomized controlled trial; Long-term care; Intensive care medicine; Medical emergency; Health care; Internal medicine; Pharmacology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007593456,0.0002465231,0.0009777677,0.0000773331,0.0005376291,0.000003951822,0.0007947784,0.0001340901,0.00001300354],"category_scores_gemma":[0.0006614585,0.0001182261,0.0005798861,0.0009807645,0.0002074523,0.0001018091,0.0001511968,0.002228295,0.000007295321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006794506,"about_ca_system_score_gemma":0.002542512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002093615,"about_ca_topic_score_gemma":0.00005678111,"domain_scores_codex":[0.990963,0.005165793,0.001938295,0.0002459828,0.0010531,0.0006337863],"domain_scores_gemma":[0.9888926,0.005710429,0.004238202,0.0005536366,0.0004505859,0.0001545462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001434843,0.0001445618,0.9632835,0.0004452839,0.00008763425,0.00002364015,0.01311179,0.0001073159,0.00001288369,0.000001037182,0.01172306,0.009624421],"study_design_scores_gemma":[0.007741331,0.003985599,0.9783372,0.001003495,0.0001392316,0.0001709827,0.006868856,0.0001283137,0.00002012768,0.000007040627,0.001389349,0.0002085161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954149,0.0001647799,0.0005473679,0.001130819,0.001178937,0.001472767,0.000007022814,0.00001179969,0.00007166647],"genre_scores_gemma":[0.994723,0.0005265767,0.00178596,0.002055623,0.0007675267,0.00002486663,0.000002464966,0.0000383219,0.00007562621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01505363,"threshold_uncertainty_score":0.9680957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028355400496293,"score_gpt":0.4131991680399802,"score_spread":0.3929156140350173,"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."}}