{"id":"W3015603832","doi":"10.1136/bmjoq-2019-000712","title":"Usage of primary and administrative data to measure the economic impact of quality improvement projects","year":2020,"lang":"en","type":"review","venue":"BMJ Open Quality","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; St. Michael's Hospital; Toronto General Hospital; University of Toronto","funders":"University of Toronto; Ontario Ministry of Health and Long-Term Care","keywords":"Inefficiency; Business; Health care; Quality (philosophy); Economic evaluation; Population; Data quality; Resource (disambiguation); Operations management; Risk analysis (engineering); Process management; Computer science; Medicine; Marketing; Economics; Environmental health; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"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":[0.1022281,0.002214398,0.002428032,0.02001058,0.001720717,0.006333742,0.003838297,0.002218521,0.008202184],"category_scores_gemma":[0.3295955,0.001084724,0.003486042,0.03021467,0.001811791,0.006058538,0.005777817,0.003671291,0.002225865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005711234,"about_ca_system_score_gemma":0.01089821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01113122,"about_ca_topic_score_gemma":0.007867459,"domain_scores_codex":[0.7747998,0.111947,0.03034719,0.008540274,0.07126909,0.003096763],"domain_scores_gemma":[0.5041659,0.2450544,0.1286322,0.03499185,0.08009206,0.007063619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002329926,0.002777376,0.537047,0.01064624,0.005819252,0.0003546159,0.003249641,0.02103148,0.0006863689,0.05186975,0.07528679,0.2889016],"study_design_scores_gemma":[0.000805651,0.002973536,0.7687951,0.009528013,0.001548051,0.001215452,0.003362001,0.02663372,0.00391023,0.03059804,0.1500176,0.0006125117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.3056814,0.0203133,0.2062492,0.0140136,0.002942173,0.0166987,0.2764784,0.001347784,0.1562754],"genre_scores_gemma":[0.7439039,0.006390737,0.1327277,0.003867734,0.001687979,0.02737235,0.0770606,0.0005047235,0.006484432],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1022281,"threshold_uncertainty_score":0.5406406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8910178874895107,"score_gpt":0.640776483164554,"score_spread":0.2502414043249567,"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."}}