{"id":"W4406165493","doi":"10.3389/fped.2024.1443426","title":"Achieving reliable patient reported outcomes collection to measure health care improvement in a learning health network: lessons from pediatric rheumatology care and outcomes improvement network","year":2025,"lang":"en","type":"article","venue":"Frontiers in Pediatrics","topic":"Autoimmune and Inflammatory Disorders Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Hospital for Sick Children","funders":"Agency for Healthcare Research and Quality; Cincinnati Children's Hospital Medical Center; Patient-Centered Outcomes Research Institute; Children’s Hospital of Wisconsin Research Institute; Seattle Children's Research Institute; Pfizer","keywords":"Medicine; Quality management; Data collection; Health care; Measure (data warehouse); Health care quality; Emergency medicine; Family medicine; Data mining; Operations management","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":[0.1130342,0.001150216,0.0009572907,0.001932707,0.002527994,0.005155613,0.003716087,0.001496066,0.004765379],"category_scores_gemma":[0.176278,0.0006004666,0.000992441,0.002127769,0.002224956,0.007756556,0.007950489,0.005514204,0.001526987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005088131,"about_ca_system_score_gemma":0.01688167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007346007,"about_ca_topic_score_gemma":0.010401,"domain_scores_codex":[0.8893064,0.08138344,0.005148786,0.002804311,0.01786771,0.003489329],"domain_scores_gemma":[0.8112082,0.1071135,0.01857169,0.01312549,0.0361628,0.01381827],"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":[0.0001857194,0.001620514,0.0869289,0.003136156,0.0001643959,0.0002638891,0.01480631,0.001473549,0.0007652592,0.00414082,0.1322829,0.7542315],"study_design_scores_gemma":[0.001108672,0.009440015,0.4309334,0.03337242,0.0004704602,0.001750038,0.07618868,0.01670715,0.00799469,0.05210496,0.369126,0.0008034518],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2186455,0.01032647,0.1970205,0.4728045,0.004590464,0.01210796,0.003406197,0.003893432,0.07720501],"genre_scores_gemma":[0.5950555,0.01132256,0.3416883,0.03094166,0.002833595,0.01156354,0.002001796,0.0006929942,0.003900076],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1130342,"threshold_uncertainty_score":0.5977893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179139956383836,"score_gpt":0.2968906796789065,"score_spread":0.2850992801150681,"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."}}