{"id":"W2211648215","doi":"10.2196/medinform.5215","title":"Outcomes From Health Information Exchange: Systematic Review and Future Research Needs","year":2015,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; Agency for Healthcare Research and Quality; U.S. Department of Health and Human Services","keywords":"Health information exchange; Systematic review; Computer science; Data science; MEDLINE; Medicine; Health care; Knowledge management; Health information; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1218338,0.002192541,0.01548506,0.01812768,0.001470188,0.006989517,0.003814889,0.004849751,0.009222458],"category_scores_gemma":[0.3101447,0.001986612,0.01432289,0.02060103,0.00344287,0.01166198,0.004495304,0.00447933,0.0005766609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0137475,"about_ca_system_score_gemma":0.05153451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01279619,"about_ca_topic_score_gemma":0.03189818,"domain_scores_codex":[0.8885325,0.05699219,0.03451231,0.003765138,0.01363724,0.002560499],"domain_scores_gemma":[0.6307325,0.2967691,0.03935135,0.005291877,0.02549303,0.002362176],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001765639,0.00002556358,0.0007093868,0.9489316,0.006481591,0.00006369609,0.000434072,0.0001216113,0.00003364095,0.001074838,0.003397336,0.03855013],"study_design_scores_gemma":[0.0002288681,0.0001167692,0.001603216,0.962125,0.01993542,0.0001134834,0.0006856133,0.0001018903,0.00004911911,0.002181915,0.01282143,0.00003735734],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008402257,0.9905195,0.0005707527,0.005258878,0.0004402277,0.001079562,0.0007829863,0.00002226184,0.0004855524],"genre_scores_gemma":[0.02274701,0.9593691,0.003622807,0.006359688,0.0005196055,0.006178237,0.0009821659,0.00002466002,0.0001967341],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8781663,"threshold_uncertainty_score":0.6443262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1509178671729377,"score_gpt":0.5194668474988611,"score_spread":0.3685489803259234,"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."}}