{"id":"W3129341320","doi":"10.2196/18534","title":"Using a Clinical Workflow Analysis to Enhance eHealth Implementation Planning: Tutorial and Case Study","year":2021,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute","keywords":"eHealth; Workflow; Computer science; mHealth; Process management; Knowledge management; Data science; Health care; Psychological intervention; Medicine; Nursing; Engineering; Database","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":[0.01829027,0.002121759,0.0008731252,0.002812233,0.002681539,0.004289648,0.002852606,0.003363894,0.003862413],"category_scores_gemma":[0.03033105,0.001012792,0.001651509,0.002316303,0.002084145,0.006819865,0.004574425,0.004336578,0.001474852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00397273,"about_ca_system_score_gemma":0.004759368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004254763,"about_ca_topic_score_gemma":0.009737452,"domain_scores_codex":[0.9891363,0.007526086,0.0006273323,0.0006181806,0.001493842,0.0005983076],"domain_scores_gemma":[0.9708931,0.02240268,0.001006345,0.0008177747,0.003700232,0.001179881],"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":[0.0005558938,0.004812711,0.009791533,0.007275662,0.0001582307,0.0118326,0.06356491,0.01529655,0.009615675,0.04625637,0.1096549,0.721185],"study_design_scores_gemma":[0.0004826616,0.003571931,0.01301655,0.01453706,0.000272551,0.02044748,0.05173582,0.06789274,0.02376745,0.04696369,0.7562733,0.001038888],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1094019,0.01727587,0.7877387,0.03099301,0.002096958,0.01316148,0.001121017,0.004194002,0.03401699],"genre_scores_gemma":[0.1061319,0.01274376,0.8644364,0.002338596,0.0004865182,0.004956053,0.0005674268,0.0004108128,0.007928655],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01829027,"threshold_uncertainty_score":0.09672934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2876407653634799,"score_gpt":0.6494225993116508,"score_spread":0.3617818339481709,"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."}}