{"id":"W4402285681","doi":"10.2196/60491","title":"Exploring Contactless Vital Signs Collection in Video Telehealth Visits Among Veterans Affairs Providers and Patients: Pilot Usability Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Quality Enhancement Research Initiative; U.S. Department of Veterans Affairs","keywords":"Usability; Veterans Affairs; Telehealth; Context (archaeology); Telemedicine; Medicine; Health care; System usability scale; Medical emergency; Computer science; Heuristic evaluation; Human–computer interaction","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":[0.01174058,0.0004470951,0.000470389,0.0005992634,0.0009348886,0.001228001,0.0006993925,0.0006556101,0.001364413],"category_scores_gemma":[0.02508953,0.0003650784,0.0006412352,0.0003665648,0.0005776176,0.0008247737,0.001073108,0.0005439807,0.0001899248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009522081,"about_ca_system_score_gemma":0.001180361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00201134,"about_ca_topic_score_gemma":0.004504689,"domain_scores_codex":[0.9929052,0.005274697,0.0003853058,0.0003570296,0.0006390807,0.0004387377],"domain_scores_gemma":[0.9781221,0.01604814,0.001440073,0.0008062818,0.002700193,0.0008831823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003147329,0.01633873,0.5443256,0.001984131,0.0004114762,0.001952509,0.2056689,0.001215956,0.02167051,0.0003369953,0.002139997,0.2008078],"study_design_scores_gemma":[0.001130344,0.0672411,0.7039775,0.0006267611,0.0006779776,0.00345745,0.1891054,0.008505959,0.0149449,0.0003183154,0.00974374,0.0002704825],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988185,0.00004032409,0.0006289632,0.00004550605,0.000004550543,0.00017919,0.00002612836,0.000009041803,0.0002478104],"genre_scores_gemma":[0.9963924,0.00009605807,0.002670119,0.000124707,0.00001532433,0.0003968906,0.00006156781,0.000006580323,0.0002363343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01174058,"threshold_uncertainty_score":0.06209087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1624400590243559,"score_gpt":0.4460660635385398,"score_spread":0.2836260045141839,"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."}}