{"id":"W2810419608","doi":"10.1177/2327857918071022","title":"Optimizing EMR User Experience: A Human Factors Approach to Hardware Assessment and Design for Inpatient and Emergency Units","year":2018,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Carleton University; Children's Hospital of Eastern Ontario","funders":"","keywords":"Workflow; Documentation; Context (archaeology); Computer science; Participatory design; Key (lock); Process management; Component (thermodynamics); User-centered design; Knowledge management; Engineering management; Operations management; Engineering; Database; Human–computer interaction; Computer security; Parallels","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":[0.01782748,0.001818537,0.0007426338,0.00286893,0.002208303,0.005616075,0.002834171,0.001367618,0.003144274],"category_scores_gemma":[0.02765935,0.0009379207,0.001014655,0.001259387,0.002371311,0.00301801,0.003142725,0.001339722,0.000519598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003939022,"about_ca_system_score_gemma":0.006255423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003748694,"about_ca_topic_score_gemma":0.005935088,"domain_scores_codex":[0.97958,0.01538737,0.0007458617,0.0009982047,0.002508479,0.0007801818],"domain_scores_gemma":[0.9765183,0.01539975,0.001566444,0.001256579,0.004547377,0.0007115373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007627786,0.003599727,0.04599293,0.004762563,0.0003530823,0.0008196683,0.0728969,0.06156461,0.038317,0.04098502,0.005989412,0.7239563],"study_design_scores_gemma":[0.0008993313,0.01665351,0.07604188,0.004675574,0.001487513,0.001700895,0.1664003,0.4552955,0.07325444,0.07299323,0.1297656,0.0008322251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1471065,0.000603626,0.8277966,0.002229398,0.00006019252,0.004022746,0.0001260723,0.0008182285,0.0172366],"genre_scores_gemma":[0.3357236,0.00037796,0.658896,0.0002107174,0.00001474256,0.002076265,0.00008817101,0.0001284837,0.002484027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01782748,"threshold_uncertainty_score":0.09428185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1226748954194349,"score_gpt":0.4252865260215024,"score_spread":0.3026116306020675,"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."}}