{"id":"W4283522732","doi":"10.2196/34826","title":"The Impact of Telemedicine on Physicians’ After-hours Electronic Health Record “Work Outside Work” During the COVID-19 Pandemic: Retrospective Cohort Study","year":2022,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Telemedicine; Pandemic; Workload; Medicine; Retrospective cohort study; Medical emergency; Cohort; Health care; Emergency medicine; Telehealth; Work (physics); Coronavirus disease 2019 (COVID-19); Acute care; Family medicine; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004346807,0.0003185315,0.0008084496,0.0001981621,0.0008462995,0.00001916706,0.0004325716,0.0000758547,0.0006941238],"category_scores_gemma":[0.0006994371,0.0001737618,0.0002096228,0.001345307,0.0002788776,0.00008973319,0.0002004705,0.001937633,0.0000104409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002991199,"about_ca_system_score_gemma":0.001916188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00068948,"about_ca_topic_score_gemma":0.0002577677,"domain_scores_codex":[0.9939491,0.0004197205,0.001738118,0.0002333476,0.002668062,0.0009916241],"domain_scores_gemma":[0.9967533,0.0007112273,0.001034643,0.0007587021,0.0001230424,0.0006190919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001576956,0.000442334,0.936083,0.000114356,0.0003222772,0.00001893717,0.01490541,0.00002527024,6.407919e-7,0.00002214629,0.022804,0.02368468],"study_design_scores_gemma":[0.004614435,0.007513588,0.954923,0.0001143947,0.00008586958,0.00009741382,0.024186,0.00009660581,0.000001443538,0.00005907828,0.008156353,0.0001518106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854577,0.000189689,0.0001201055,0.008969389,0.0002753718,0.004587697,0.00003050396,0.0001236132,0.0002459944],"genre_scores_gemma":[0.9860082,0.0003603866,0.00002412767,0.01170242,0.0004074257,0.001235345,0.00007751609,0.00003595168,0.0001485748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02353287,"threshold_uncertainty_score":0.8418159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02562080777626189,"score_gpt":0.3899091689561946,"score_spread":0.3642883611799327,"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."}}