{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002618516,0.00032265,0.001082196,0.0003570381,0.000520369,0.00006250564,0.0006438236,0.0003046637,0.0002272961],"category_scores_gemma":[0.0004864953,0.0002813647,0.0001233387,0.0007362999,0.00006077741,0.001434895,0.0006236338,0.002020149,0.0004092211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557042,"about_ca_system_score_gemma":0.004172497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002946696,"about_ca_topic_score_gemma":0.003685474,"domain_scores_codex":[0.9938787,0.0008737126,0.002321995,0.0003144136,0.001092341,0.001518801],"domain_scores_gemma":[0.9961228,0.001035742,0.001139439,0.0006056607,0.0002544737,0.000841933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006912039,0.001513329,0.3452672,0.0055574,0.00126296,0.00001571579,0.4695032,0.00002912839,0.0001187041,0.002281274,0.06329025,0.1104697],"study_design_scores_gemma":[0.01166336,0.01510045,0.1613149,0.01451371,0.00022169,0.00002673608,0.4581005,0.0142818,0.00005999165,0.0004772716,0.322262,0.001977601],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845318,0.00004103202,0.002174324,0.001607098,0.001554005,0.007480672,0.00001729391,0.0001158932,0.002477896],"genre_scores_gemma":[0.9911268,0.00006766595,0.0003966904,0.00619293,0.0001876607,0.000761926,0.00002022354,0.00005007158,0.001196076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2589718,"threshold_uncertainty_score":0.9999639,"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."}}