{"id":"W4281977910","doi":"10.3233/shti220098","title":"Evaluation of Telehealth Service for COVID-19 Outpatients: A Dashboard to Measure Healthcare Quality and Safety","year":2022,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Telehealth; Dashboard; Patient safety; Context (archaeology); Proxy (statistics); Health care; Quality (philosophy); Medical emergency; Coronavirus disease 2019 (COVID-19); Telemedicine; Work (physics); Service (business); Business; Process management; Computer science; Medicine; Engineering; Data 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":[0.009427896,0.0008679947,0.0007673991,0.001729978,0.0004731398,0.001470944,0.000671972,0.0007607149,0.002584233],"category_scores_gemma":[0.02121097,0.0002188171,0.0008363334,0.001386151,0.0003502466,0.001141584,0.00122281,0.0006928652,0.0004633933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008514585,"about_ca_system_score_gemma":0.001535789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002038826,"about_ca_topic_score_gemma":0.001953004,"domain_scores_codex":[0.9909036,0.005094244,0.001142607,0.0005763189,0.001897537,0.0003856464],"domain_scores_gemma":[0.9853612,0.006890721,0.001776803,0.0006706028,0.003834017,0.001466776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007685458,0.01318126,0.4856802,0.001894885,0.0006714903,0.0003977615,0.005185741,0.005034832,0.008596662,0.0007880732,0.008594288,0.4622894],"study_design_scores_gemma":[0.001510537,0.04995529,0.8717757,0.0006964972,0.0008307105,0.0004290121,0.009147434,0.03692188,0.01564384,0.0005513245,0.01229306,0.0002447096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846516,0.0002013017,0.006108559,0.0004303599,0.0001256389,0.002195633,0.001977633,0.0005659308,0.003743513],"genre_scores_gemma":[0.9737738,0.0003429622,0.01963164,0.0001667716,0.00006837645,0.002440894,0.002176788,0.00005353853,0.001345275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009427896,"threshold_uncertainty_score":0.04986006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2749905258387857,"score_gpt":0.5189136354755406,"score_spread":0.2439231096367549,"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."}}