{"id":"W129366296","doi":"10.3233/978-1-61499-488-6-1","title":"The Impact of University Provided Nurse Electronic Medical Record Training on Health Care Organizations: An Exploratory Simulation Approach","year":2015,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Health Services Authority; University of Victoria","funders":"","keywords":"Electronic health record; Exploratory research; Nursing; Training (meteorology); Health care; Electronic medical record; Medical record; Medical education; Computer science; Medicine; Medical emergency; Sociology; Political science","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":[0.003602586,0.0008745677,0.0005135571,0.0008228144,0.0008168408,0.001456745,0.001766892,0.001643945,0.004167916],"category_scores_gemma":[0.01130052,0.0005460386,0.001053147,0.0008660486,0.0008518513,0.001157141,0.001512528,0.00128373,0.0002392688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003203977,"about_ca_system_score_gemma":0.002291219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01097142,"about_ca_topic_score_gemma":0.01257982,"domain_scores_codex":[0.9968743,0.00242481,0.00008198342,0.0001496268,0.0001308378,0.0003383467],"domain_scores_gemma":[0.9815419,0.0160496,0.0008991917,0.0005939268,0.0005313768,0.0003839173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004509021,0.02484755,0.07882866,0.0005323489,0.0005229251,0.001030951,0.004073577,0.8448693,0.003718765,0.01049851,0.001259424,0.02530889],"study_design_scores_gemma":[0.001540146,0.01948901,0.02976978,0.0001219095,0.0003095166,0.0001602008,0.00673008,0.9297375,0.006365917,0.003374123,0.002250792,0.0001510597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956983,0.00001530598,0.001618254,0.00007589254,0.000005072999,0.0002692988,0.0001764088,0.00001790576,0.002123476],"genre_scores_gemma":[0.9932962,0.00005467139,0.005127765,0.00003412929,0.000005212192,0.0006333455,0.0001232106,0.000004377752,0.0007210171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01097142,"threshold_uncertainty_score":0.02324659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1152940089981712,"score_gpt":0.4704344457359124,"score_spread":0.3551404367377412,"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."}}