{"id":"W2094613920","doi":"10.2147/amep.s53307","title":"Improvement of workflow and processes to ease and enrich meaningful use of health information technology","year":2013,"lang":"en","type":"article","venue":"Advances in Medical Education and Practice","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Niagara","funders":"","keywords":"Workflow; Patient safety; Accreditation; Context (archaeology); Health care; Quality management; Health information technology; Medical education; Knowledge management; Computer science; Medicine; Engineering; Management system","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00182909,0.00007167573,0.000223158,0.0002028089,0.0001050167,0.000006645344,0.00005528745,0.0001164123,0.0000548337],"category_scores_gemma":[0.0264938,0.00006068548,0.000003368105,0.0004325086,0.00007302462,0.001393875,0.00005137558,0.0003325377,0.000004564938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007121805,"about_ca_system_score_gemma":0.002613891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00172707,"about_ca_topic_score_gemma":0.0004365887,"domain_scores_codex":[0.998323,0.0003295951,0.0007685846,0.0001274532,0.0002239183,0.0002274899],"domain_scores_gemma":[0.9965079,0.002166848,0.0006026091,0.0001138642,0.0003966799,0.0002121288],"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":[0.00004174296,0.0001157057,0.01847938,0.002943282,0.0000039838,5.473673e-8,0.006648018,5.246387e-7,0.00001221699,0.002698593,0.0008069833,0.9682495],"study_design_scores_gemma":[0.001182278,0.00107328,0.01235899,0.002945627,0.00001456294,0.00002861788,0.05041849,0.0002052229,0.00003257837,0.005375653,0.9261761,0.0001886564],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7602738,0.03348368,0.00770898,0.1908857,0.001106216,0.004435886,0.000005777102,0.00005253274,0.002047524],"genre_scores_gemma":[0.9284409,0.03084958,0.02249442,0.0173249,0.00006634369,0.0006962308,0.000009494249,0.00000953274,0.0001086291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9680609,"threshold_uncertainty_score":0.9817064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648016929290774,"score_gpt":0.4649851541365724,"score_spread":0.4385049848436646,"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."}}