{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05804805,0.002160153,0.001365424,0.008503404,0.001705467,0.006823383,0.002450984,0.002230304,0.002215783],"category_scores_gemma":[0.2782187,0.001053477,0.001737916,0.004913669,0.003177322,0.00632433,0.002557972,0.001548356,0.0003052465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007890573,"about_ca_system_score_gemma":0.01232199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005508681,"about_ca_topic_score_gemma":0.008199256,"domain_scores_codex":[0.9101072,0.07254833,0.00653587,0.002301709,0.007384533,0.001122414],"domain_scores_gemma":[0.6167226,0.3446577,0.01785125,0.006881474,0.01273997,0.00114696],"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":[0.003279641,0.002941009,0.0477905,0.02082253,0.001269552,0.000643848,0.0233399,0.09443541,0.004664685,0.06289048,0.006397924,0.7315245],"study_design_scores_gemma":[0.005876821,0.01585056,0.07072774,0.03228914,0.006705737,0.001436467,0.0615873,0.3736882,0.03912739,0.3262051,0.06456722,0.001938324],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5232357,0.0121055,0.4062838,0.006371492,0.0003084906,0.01640689,0.0008240503,0.001250378,0.03321367],"genre_scores_gemma":[0.5065714,0.002218608,0.4865616,0.0006456869,0.00002704479,0.003129237,0.0003602865,0.00004487738,0.0004412521],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05804805,"threshold_uncertainty_score":0.3069911,"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."}}