{"id":"W4205687123","doi":"10.20517/ch.2021.03","title":"The worldwide impact of telemedicine during COVID-19: current evidence and recommendations for the future","year":2022,"lang":"en","type":"article","venue":"Connected Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":373,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint John Regional Hospital; University of Toronto; University of British Columbia; Lunenfeld-Tanenbaum Research Institute; University of Alberta","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; National Institute for Health and Care Research","keywords":"Telemedicine; Reimbursement; Health care; License; Business; Pandemic; Population; Coronavirus disease 2019 (COVID-19); Medical emergency; Medicine; Disease; Computer science; Environmental health; Economic growth","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":[0.02128034,0.0009746431,0.003541416,0.00426138,0.001249411,0.006913034,0.003499395,0.006198477,0.01979467],"category_scores_gemma":[0.08196043,0.0008615727,0.003752505,0.006277269,0.002654401,0.01033614,0.003120765,0.005365581,0.001873554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005498625,"about_ca_system_score_gemma":0.02072644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02962593,"about_ca_topic_score_gemma":0.04453389,"domain_scores_codex":[0.9895799,0.004767582,0.002556525,0.0009317494,0.001465789,0.0006984493],"domain_scores_gemma":[0.849761,0.1147867,0.01529104,0.001730888,0.01425819,0.004172137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001031944,0.0004790585,0.03366788,0.1186564,0.003032615,0.0003952144,0.001414394,0.00049598,0.0001000453,0.01087314,0.0575867,0.7722667],"study_design_scores_gemma":[0.0006931614,0.0008369028,0.07025351,0.662189,0.01053584,0.0006405806,0.0115947,0.0008687511,0.0002207071,0.01780756,0.2240743,0.0002849494],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001739013,0.9316159,0.000297501,0.06222611,0.001535204,0.0001286658,0.0004941057,0.00001599477,0.001947411],"genre_scores_gemma":[0.02800338,0.9470145,0.002535917,0.01848949,0.002566295,0.0004192755,0.0005585768,0.00001746374,0.0003951016],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02962593,"threshold_uncertainty_score":0.1125425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08823889946950593,"score_gpt":0.4635277340285049,"score_spread":0.375288834558999,"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."}}