{"id":"W4414852121","doi":"10.3389/fdgth.2025.1636775","title":"Streamlining wearable data integration for EHDS: a case study on advancing healthcare interoperability using Garmin devices and FHIR","year":2025,"lang":"en","type":"article","venue":"Frontiers in Digital Health","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Interoperability; Bridging (networking); Wearable computer; Data integration; Health care; System integration; Wearable technology","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":[0.01528365,0.0006407455,0.0004765497,0.001466486,0.002430923,0.003518732,0.00209894,0.002484454,0.002184025],"category_scores_gemma":[0.02021139,0.0004179371,0.0009709219,0.00167291,0.002238688,0.00420413,0.004826374,0.002101032,0.0007768354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002268863,"about_ca_system_score_gemma":0.002597184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004065538,"about_ca_topic_score_gemma":0.005400366,"domain_scores_codex":[0.9858208,0.009207122,0.0008307128,0.0007930199,0.002351342,0.0009969927],"domain_scores_gemma":[0.9857215,0.008289794,0.0008635097,0.002172729,0.001855581,0.001096874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.001118984,0.005818582,0.1874557,0.001923593,0.0002246546,0.05821748,0.2976158,0.006214575,0.02199616,0.03378715,0.01708266,0.3685447],"study_design_scores_gemma":[0.0003718369,0.005780693,0.1361579,0.002852463,0.0004222716,0.04016264,0.3729379,0.03861354,0.05543957,0.01731729,0.3294708,0.0004731625],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9323763,0.0006550379,0.04321146,0.005196911,0.0001425024,0.001001651,0.0002671451,0.0003271339,0.01682192],"genre_scores_gemma":[0.9469945,0.0008711736,0.04486182,0.001076456,0.0000728621,0.0004154708,0.0002756488,0.0001570276,0.005275059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01528365,"threshold_uncertainty_score":0.08082867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140876029801069,"score_gpt":0.4949077486021156,"score_spread":0.3808201456220088,"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."}}