{"id":"W2131585986","doi":"10.2196/humanfactors.3524","title":"Applying Human Factors Principles to Mitigate Usability Issues Related to Embedded Assumptions in Health Information Technology Design","year":2014,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Workflow; Health information technology; Usability engineering; Health care; Patient safety; User-centered design; Computer science; Heuristic evaluation; Health equity; Web usability; Harm; Design science; Risk analysis (engineering); Knowledge management; Medicine; Human–computer interaction; Psychology; Public health; Nursing","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004025932,0.0004881489,0.000981756,0.001754343,0.002060453,0.00004879621,0.0006360184,0.0007337353,0.0003107483],"category_scores_gemma":[0.001085852,0.0004549711,0.00009676592,0.001497571,0.00008478529,0.0005232342,0.0002513207,0.001713061,0.0007956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002817649,"about_ca_system_score_gemma":0.0006115069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003382359,"about_ca_topic_score_gemma":0.006148144,"domain_scores_codex":[0.991863,0.00218811,0.002854065,0.0006551892,0.0005555326,0.001884169],"domain_scores_gemma":[0.9964687,0.0006426007,0.0008582378,0.001035227,0.0002531715,0.0007420229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003182423,0.0002036366,0.8998314,0.001514086,0.00003746292,6.58338e-7,0.06604437,0.0006019674,0.002378812,0.0226024,0.003193503,0.003559945],"study_design_scores_gemma":[0.001471292,0.001561012,0.7350931,0.001473733,0.000009293883,0.000001162727,0.01558948,0.0003363778,0.0005230365,0.004184243,0.2387974,0.0009598346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813209,0.00002628695,0.001797213,0.002391599,0.0004670447,0.01227141,0.00002743122,0.0008575015,0.0008406142],"genre_scores_gemma":[0.9927847,0.000004393031,0.0007047484,0.0007538429,0.00007867806,0.004284329,0.000140184,0.00006590133,0.001183204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2356039,"threshold_uncertainty_score":0.9999824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105457781777454,"score_gpt":0.4595712322343141,"score_spread":0.3541134504568602,"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."}}