{"id":"W2964186501","doi":"10.1055/s-0039-1693456","title":"Linking Quality Improvement and Health Information Technology through the QI-HIT Figure 8","year":2019,"lang":"en","type":"article","venue":"Applied Clinical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Women's College Hospital; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Health information technology; Quality management; Computer science; Quality (philosophy); Data science; World Wide Web; Medicine; Knowledge management; Health care; Operations management; Engineering; Political science","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":[0.005725663,0.0006216481,0.0002507762,0.001750957,0.001349975,0.005531313,0.001608935,0.002057868,0.03259905],"category_scores_gemma":[0.01177491,0.0005356329,0.0007148161,0.002194053,0.002378695,0.004579456,0.003480855,0.001938576,0.006921216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004053252,"about_ca_system_score_gemma":0.009244204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01270834,"about_ca_topic_score_gemma":0.0111303,"domain_scores_codex":[0.9935197,0.003087132,0.000395603,0.0005445484,0.001979462,0.0004735398],"domain_scores_gemma":[0.9908353,0.003124418,0.0007111203,0.001589745,0.002659287,0.001080208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002059401,0.000502897,0.01077368,0.0007290037,0.00007351513,0.0003169123,0.00376255,0.01846565,0.0034314,0.5278027,0.059912,0.3740237],"study_design_scores_gemma":[0.0003084326,0.001295892,0.02462788,0.0009615446,0.0001042778,0.0007478419,0.002826956,0.1118986,0.008158178,0.212539,0.6363189,0.0002124439],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02514478,0.0003539036,0.7231677,0.01932018,0.0004223644,0.002297278,0.001209566,0.006064425,0.2220197],"genre_scores_gemma":[0.1971885,0.000498772,0.7577584,0.001532518,0.0000664796,0.001325099,0.001215256,0.0003310985,0.04008394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03259905,"threshold_uncertainty_score":0.1090547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1217563759571281,"score_gpt":0.5060995569540104,"score_spread":0.3843431809968823,"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."}}