{"id":"W2911135505","doi":"10.2196/12650","title":"Use of Electronic Health Record Access and Audit Logs to Identify Physician Actions Following Noninterruptive Alert Opening: Descriptive Study","year":2019,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; Agency for Healthcare Research and Quality; National Institutes of Health; U.S. Department of Veterans Affairs","keywords":"Audit; Medicine; Audit trail; Electronic health record; Descriptive statistics; Medical emergency; Medical record; Primary care; Health care; Family medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005418788,0.0002646385,0.0004740457,0.002286698,0.0006251855,0.001067595,0.0005872384,0.0005404894,0.001020228],"category_scores_gemma":[0.01721553,0.000528879,0.0007642199,0.002199095,0.0006694807,0.001561288,0.0008658643,0.000863984,0.0002856791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001281953,"about_ca_system_score_gemma":0.002560866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008584961,"about_ca_topic_score_gemma":0.01105292,"domain_scores_codex":[0.9949173,0.001587475,0.001262091,0.0006405257,0.001142411,0.0004502482],"domain_scores_gemma":[0.9707447,0.0120568,0.01085584,0.001552728,0.003823629,0.0009661686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000229557,0.0006599397,0.9942974,0.00006572411,0.00004563064,0.00007699501,0.001198469,0.00002182122,0.0001151418,0.00001809997,0.0001111899,0.003160013],"study_design_scores_gemma":[0.00005262256,0.001804481,0.9916171,0.00006482723,0.00007871389,0.0003503976,0.00469182,0.000348305,0.0003734476,0.00002079914,0.000578139,0.00001928981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983777,0.0001484023,0.00024683,0.00002521743,0.000002923788,0.0002676972,0.0005392933,0.000005535584,0.000386304],"genre_scores_gemma":[0.9985007,0.0001506018,0.00040422,0.00007872047,0.000005985138,0.0002818787,0.0004322782,0.000004704523,0.0001409476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008584961,"threshold_uncertainty_score":0.02865767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1457025977079075,"score_gpt":0.5063616362684076,"score_spread":0.3606590385605001,"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."}}