{"id":"W1608370128","doi":"10.1109/iembs.2003.1280930","title":"Incorporating usability design factors into development of clinical decision support systems","year":2004,"lang":"en","type":"article","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Usability; Computer science; Usability goals; Usability engineering; System usability scale; Web usability; Usability lab; Cognitive walkthrough; Usability inspection; Heuristic evaluation; Clinical decision support system; Human–computer interaction; Decision support system; Component-based usability testing; Data mining","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":[0.03165409,0.001307942,0.000691496,0.003401578,0.001421343,0.005228708,0.001241154,0.0008889337,0.001255678],"category_scores_gemma":[0.09679701,0.001186945,0.0009242055,0.001182016,0.001394813,0.003766648,0.001923702,0.001319862,0.0003510789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003039092,"about_ca_system_score_gemma":0.005264634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002739351,"about_ca_topic_score_gemma":0.004649206,"domain_scores_codex":[0.9694038,0.0201907,0.003188354,0.0009557894,0.005630318,0.0006310692],"domain_scores_gemma":[0.911442,0.06539591,0.003272319,0.002736637,0.0155261,0.001627008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004850223,0.001254899,0.03353735,0.004097244,0.0003494927,0.0005403528,0.01647605,0.01275177,0.02639714,0.0157412,0.004105512,0.8842641],"study_design_scores_gemma":[0.002295758,0.01647054,0.1374094,0.0118595,0.003820835,0.004058911,0.03915684,0.2834538,0.1304581,0.1280043,0.2412698,0.001742257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2621679,0.002169737,0.7095882,0.003221724,0.0001935871,0.005634807,0.0001066518,0.001821818,0.0150956],"genre_scores_gemma":[0.213666,0.000539383,0.7831559,0.0001734768,0.0000318718,0.001165214,0.0001121653,0.0001548575,0.001001168],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03165409,"threshold_uncertainty_score":0.1674048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.256624965957845,"score_gpt":0.5285918254699418,"score_spread":0.2719668595120968,"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."}}