{"id":"W2754079322","doi":"10.1017/s1463423617000573","title":"The provider perspective: investigating the effect of the Electronic Patient-Reported Outcome (ePRO) mobile application and portal on primary care provider workflow","year":2017,"lang":"en","type":"article","venue":"Primary Health Care Research & Development","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Public Health Ontario; Toronto Metropolitan University; University of Toronto; Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"Canadian Institutes of Health Research; University of Toronto; Ontario Ministry of Health and Long-Term Care","keywords":"Workflow; Patient portal; Perspective (graphical); Primary care; Outcome (game theory); Meaningful use; Medicine; Knowledge management; Family medicine; Business; Medical emergency; Psychology; Computer science; Health care; Database; Political science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007465438,0.0003807563,0.0005946032,0.0001311272,0.01812221,0.00008663984,0.001123859,0.0002424607,0.000008761651],"category_scores_gemma":[0.001764947,0.0002006507,0.000104966,0.0004381812,0.0007919727,0.0001496991,0.0009859088,0.002956069,0.00002755996],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005550947,"about_ca_system_score_gemma":0.01852782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001748845,"about_ca_topic_score_gemma":0.002200658,"domain_scores_codex":[0.9907842,0.002697305,0.001738088,0.0009454677,0.00175245,0.002082467],"domain_scores_gemma":[0.9913906,0.002637214,0.001644969,0.002360878,0.001356584,0.0006097265],"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":[0.0004234704,0.00007480523,0.2255886,0.009473194,0.00007695006,0.000002052558,0.0235796,0.000008752523,0.00006139247,0.003849423,0.006966127,0.7298957],"study_design_scores_gemma":[0.001968409,0.001143991,0.5608243,0.0009436313,0.000029562,0.0000091588,0.01388017,0.00001895419,0.0002645238,0.0006011542,0.4199732,0.0003429559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7646995,0.04606546,0.00008770508,0.06604347,0.001522849,0.1026162,0.0000792269,0.0002711366,0.01861454],"genre_scores_gemma":[0.9287499,0.001561349,0.0003160569,0.003671571,0.0002367629,0.06489215,0.0001043717,0.00008104647,0.0003868602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7295527,"threshold_uncertainty_score":0.9993442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964957847470321,"score_gpt":0.4423161865516955,"score_spread":0.4026666080769923,"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."}}