{"id":"W2031497969","doi":"10.12927/hcq.2009.20969","title":"Human Factors Perspectives on a Systemic Approach to Ensuring a Safer Medication Delivery Process","year":2009,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"SAFER; Pharmacy; Process management; CLARITY; Patient safety; Human error; Process (computing); Risk analysis (engineering); Health care; Order (exchange); Unintended consequences; Medicine; Business; Knowledge management; Computer science; Nursing; Computer security","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001572626,0.0004252511,0.00074359,0.0004856077,0.00152085,0.00002288506,0.0004215358,0.0004941822,0.00003459078],"category_scores_gemma":[0.0001087559,0.0003752331,0.0001057225,0.0005779725,0.00003127429,0.000186383,0.00001125442,0.0015337,0.0003484388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002359423,"about_ca_system_score_gemma":0.001657923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002412657,"about_ca_topic_score_gemma":0.0004925377,"domain_scores_codex":[0.9934908,0.00167217,0.001391502,0.001005052,0.0008145176,0.001625994],"domain_scores_gemma":[0.9969239,0.0002718421,0.0005288861,0.0008161381,0.0005876421,0.0008716232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003525669,0.0009991225,0.02094986,0.008435147,0.00008404511,0.00001377941,0.8933273,0.00002539303,0.001043769,0.03970112,0.004954787,0.03011312],"study_design_scores_gemma":[0.002956931,0.01608603,0.1888087,0.007371704,0.00005071105,0.00004825368,0.777954,0.0003144999,0.00004086129,0.001424873,0.00336566,0.0015778],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790923,0.0008676026,0.0005535129,0.006701788,0.0007302508,0.00453389,0.00002527921,0.0005789536,0.006916438],"genre_scores_gemma":[0.9950091,0.00001960987,0.0001078723,0.002401854,0.001053908,0.0007359209,0.00004399162,0.0000676023,0.0005601045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1678588,"threshold_uncertainty_score":0.9998699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06088123970691055,"score_gpt":0.4158377649064457,"score_spread":0.3549565251995351,"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."}}