{"id":"W2071094742","doi":"10.12927/hcq.2009.20966","title":"Ensuring the Safety of Health Information Systems: Using Heuristics for Patient Safety","year":2009,"lang":"en","type":"article","venue":"Healthcare Quarterly","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury Alberta","funders":"","keywords":"Heuristics; Health information technology; Patient safety; Health informatics; Veterans Affairs; Computer science; Heuristic; Informatics; Interface (matter); Risk analysis (engineering); Medicine; Health care; Public health; Nursing; Artificial intelligence; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005100824,0.0002965651,0.0008966469,0.0001974392,0.002176296,0.00001984991,0.0002769403,0.0003094735,0.000007279343],"category_scores_gemma":[0.00021045,0.0002300598,0.0001335943,0.0003946478,0.00004265432,0.0003050961,0.00001713488,0.0008369356,0.00002901656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002021181,"about_ca_system_score_gemma":0.004180791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007641835,"about_ca_topic_score_gemma":0.0005871867,"domain_scores_codex":[0.9908588,0.002715831,0.004047911,0.000298774,0.0005781834,0.001500519],"domain_scores_gemma":[0.9943561,0.001163567,0.002477717,0.0007512753,0.0009351161,0.0003162108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001236843,0.000159317,0.003335169,0.02087047,0.00008065112,0.000001533884,0.1157401,0.0006766724,0.00003920599,0.08740785,0.006892771,0.7635594],"study_design_scores_gemma":[0.006282438,0.01917845,0.02947775,0.01049402,0.00007545982,0.00008018125,0.1352237,0.03365708,0.00001068999,0.00230889,0.7619697,0.001241584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3085117,0.02922449,0.384871,0.1561783,0.02809343,0.08197506,0.003890533,0.00160577,0.005649676],"genre_scores_gemma":[0.9937744,0.0001557006,0.0008401958,0.004324473,0.0004973348,0.0002087438,0.000119915,0.00003507414,0.00004417964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7623178,"threshold_uncertainty_score":0.9991227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05483508529960061,"score_gpt":0.3971325017348673,"score_spread":0.3422974164352667,"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."}}