{"id":"W2991448800","doi":"10.3233/shti190382","title":"Using Health Information Exchange: Usability and Usefulness Evaluation","year":2019,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"","keywords":"Usability; Health information exchange; Computer science; Think aloud protocol; Domain (mathematical analysis); Information exchange; Relation (database); Data exchange; Health care; Electronic health record; End user; Health informatics; Health information; World Wide Web; Human–computer interaction; Database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03145657,0.000683994,0.0007660806,0.003435073,0.001168402,0.001811136,0.000636556,0.0007633697,0.001346731],"category_scores_gemma":[0.05762548,0.0002617165,0.001120821,0.002193541,0.0009319604,0.001338,0.001276081,0.0004944449,0.0002044132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003093076,"about_ca_system_score_gemma":0.00284238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01506408,"about_ca_topic_score_gemma":0.02575977,"domain_scores_codex":[0.9786776,0.010953,0.002808021,0.0008272579,0.005822593,0.0009114342],"domain_scores_gemma":[0.9074522,0.06319419,0.004732129,0.002596266,0.02041978,0.001605523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005523646,0.01146779,0.5331056,0.003579656,0.0007520903,0.0005372149,0.05601925,0.002036191,0.01153466,0.0008675188,0.003037578,0.3715389],"study_design_scores_gemma":[0.0007585529,0.01942732,0.9320441,0.0005428899,0.0006620609,0.0003621113,0.02205981,0.009838002,0.007629335,0.0003552841,0.006063781,0.0002567406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941661,0.0001754666,0.001382885,0.00005518063,0.000009554888,0.001378185,0.0001361136,0.00003984999,0.002656559],"genre_scores_gemma":[0.9871631,0.000215658,0.009314385,0.00007003065,0.00002635116,0.001882402,0.0002908769,0.00002064479,0.001016467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03145657,"threshold_uncertainty_score":0.1663603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2188489610233283,"score_gpt":0.5226702564408571,"score_spread":0.3038212954175287,"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."}}