{"id":"W2616272524","doi":"10.2196/jmir.7846","title":"Patient-Centered Decision Support: Formative Usability Evaluation of Integrated Clinical Decision Support With a Patient Decision Aid for Minor Head Injury in the Emergency Department","year":2017,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Radiology practices and education","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; Agency for Healthcare Research and Quality","keywords":"Usability; Clinical decision support system; Decision support system; Formative assessment; Emergency department; Head injury; Health care; Medical emergency; Medicine; Head (geology); Computed tomography; Medical physics; Psychology; Computer science; Radiology; Nursing; Artificial intelligence; Human–computer interaction; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05156143,0.001562285,0.001157373,0.001660353,0.001079093,0.003571262,0.00203663,0.001268195,0.002390183],"category_scores_gemma":[0.1114317,0.0008517941,0.001401793,0.0009190917,0.001789244,0.001968377,0.002368371,0.001134018,0.0003429855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001982457,"about_ca_system_score_gemma":0.002964408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008760305,"about_ca_topic_score_gemma":0.001265609,"domain_scores_codex":[0.9710117,0.0216645,0.002938748,0.001364992,0.002315349,0.0007047299],"domain_scores_gemma":[0.8776371,0.1048557,0.003307232,0.003974159,0.008571627,0.001654223],"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":[0.01270841,0.02967671,0.03706711,0.01857912,0.001208756,0.001178325,0.1482423,0.01153555,0.03017006,0.002409838,0.00622132,0.7010025],"study_design_scores_gemma":[0.03356066,0.346563,0.1938967,0.01250106,0.006164404,0.004052713,0.1075703,0.09854769,0.09702494,0.01080666,0.08692903,0.002382901],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9641934,0.0002855258,0.02306054,0.0003007975,0.00009316573,0.009585177,0.0002658826,0.0004414135,0.00177394],"genre_scores_gemma":[0.7929885,0.0004144549,0.1896846,0.000401338,0.00005774611,0.01487201,0.0004181021,0.0001349191,0.001028286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05156143,"threshold_uncertainty_score":0.2726862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2252565470779505,"score_gpt":0.5620442337325177,"score_spread":0.3367876866545672,"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."}}