{"id":"W2965749773","doi":"10.2196/13653","title":"eRegTime, Efficiency of Health Information Management Using an Electronic Registry for Maternal and Child Health: Protocol for a Time-Motion Study in a Cluster Randomized Trial","year":2019,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centre for Intervention Science in Maternal and Child Health, University of Bergen; Norges Forskningsråd; Universitetet i Oslo; Universitetet i Bergen; World Health Organization","keywords":"Cluster randomised controlled trial; Medicine; Health care; Randomized controlled trial; Clinical decision support system; Guideline; Family medicine; Psychological intervention; Observational study; Digital health; Nursing; Decision support system; Data mining; Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.08393333,0.007793014,0.0128131,0.004219048,0.002601146,0.005761538,0.003864118,0.007247581,0.03699991],"category_scores_gemma":[0.08605431,0.003181836,0.009634603,0.004951621,0.004756904,0.00389584,0.002454147,0.008993916,0.007627149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007050246,"about_ca_system_score_gemma":0.01487589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002739741,"about_ca_topic_score_gemma":0.003237331,"domain_scores_codex":[0.9156746,0.06014735,0.008318654,0.005967108,0.005531672,0.004360617],"domain_scores_gemma":[0.9558112,0.01890131,0.008340716,0.007486772,0.007499915,0.001960104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8882208,0.01184104,0.00221317,0.02415553,0.008403656,0.0004182891,0.00109004,0.00713666,0.002397696,0.01156384,0.02003334,0.02252589],"study_design_scores_gemma":[0.9089278,0.0295888,0.003762968,0.004329586,0.002452514,0.00009488154,0.0003167274,0.0107868,0.001601509,0.00696603,0.03095379,0.0002185413],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002257167,0.0001970789,0.003073962,0.0001584287,0.000377573,0.9924155,0.0009377957,0.0001266528,0.0004556594],"genre_scores_gemma":[0.001076227,0.0000278462,0.002120268,0.0000500737,0.00001587733,0.9965311,0.0000652313,0.000006676799,0.000106783],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.08393333,"threshold_uncertainty_score":0.4438872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1987922112196688,"score_gpt":0.6133663121569014,"score_spread":0.4145741009372326,"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."}}