{"id":"W2556326185","doi":"10.4018/ijhisi.2017010104","title":"Barriers to Successful Health Information Exchange Systems in Canada and the USA","year":2016,"lang":"en","type":"article","venue":"International Journal of Healthcare Information Systems and Informatics","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Hort Innovation; King Khalid University; University of Ottawa; Université Laval","keywords":"Health information exchange; Language barrier; Stakeholder; Business; Information exchange; Medical record; Health records; Electronic health record; Environmental health; Political science; Medicine; Health information; Public relations; Health care; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.02416607,0.0003002832,0.0008124924,0.004821643,0.005390008,0.006782171,0.001769366,0.001415761,0.002817389],"category_scores_gemma":[0.1155936,0.0003500071,0.0007892964,0.01215846,0.002933631,0.002302188,0.003152351,0.001425703,0.0001088525],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06531364,"about_ca_system_score_gemma":0.2842138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9465508,"about_ca_topic_score_gemma":0.957163,"domain_scores_codex":[0.9762895,0.006792614,0.003192205,0.0008798834,0.01024755,0.00259844],"domain_scores_gemma":[0.8386278,0.07763141,0.01552847,0.001661413,0.05769274,0.008858059],"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":[0.0007133726,0.0004495089,0.2639993,0.05158286,0.001175718,0.004111617,0.122242,0.001423913,0.0009955032,0.03385614,0.05495134,0.4644988],"study_design_scores_gemma":[0.000248716,0.0004027323,0.4371212,0.07986406,0.001629562,0.001411802,0.2124749,0.001296795,0.001397582,0.0047223,0.2590769,0.0003535743],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.491276,0.2835918,0.001633783,0.1323874,0.0006582197,0.001322866,0.0041189,0.0001190149,0.08489207],"genre_scores_gemma":[0.8943418,0.09056629,0.002610262,0.009311953,0.0000585076,0.0003656492,0.0007044028,0.00002356015,0.00201754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9346864,"threshold_uncertainty_score":0.4738859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09817311059608243,"score_gpt":0.444857149879326,"score_spread":0.3466840392832435,"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."}}