{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006337729,0.0008553076,0.001585086,0.0006066334,0.0004696744,0.001152958,0.001051908,0.001677738,0.003580473],"category_scores_gemma":[0.02040726,0.0006318071,0.0019174,0.0007566661,0.0009275409,0.0009554842,0.0007656062,0.002039388,0.0001977555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001792393,"about_ca_system_score_gemma":0.003817909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004958393,"about_ca_topic_score_gemma":0.004849543,"domain_scores_codex":[0.9915441,0.005655445,0.0006818926,0.0007292556,0.0009168818,0.0004724246],"domain_scores_gemma":[0.9827383,0.00935591,0.004759368,0.0005470291,0.0004626995,0.002136624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.8244066,0.05970621,0.01052188,0.002560543,0.00225455,0.00005874162,0.0001905415,0.001994193,0.0006205544,0.0002027752,0.0008433874,0.09663998],"study_design_scores_gemma":[0.7104867,0.2530604,0.02907952,0.0005101095,0.001592293,0.00005428922,0.00008673267,0.00353204,0.0007031272,0.0001495946,0.0006984832,0.00004677801],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918894,0.003822767,0.0004902658,0.0006001125,0.0002641231,0.00182679,0.0001652309,0.00006330147,0.0008779907],"genre_scores_gemma":[0.9927849,0.001535606,0.002647795,0.0004000814,0.0003674346,0.001657719,0.0001951146,0.000005140564,0.0004062812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006337729,"threshold_uncertainty_score":0.03351754,"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."}}