{"id":"W4390400352","doi":"10.1101/2023.12.27.23300587","title":"Strategies and Tools for electronic health records and physician workflow alignment: A scoping review protocol","year":2023,"lang":"en","type":"review","venue":"medRxiv","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"CINAHL; Workflow; Checklist; MEDLINE; Health care; Thematic analysis; Scopus; Protocol (science); Systematic review; Medicine; Medical education; Knowledge management; Computer science; Data science; Psychology; Qualitative research; Alternative medicine; Nursing; Psychological intervention; Political science; Database","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":[0.166643,0.005377815,0.01228345,0.03335065,0.00606006,0.01097946,0.007765532,0.008726555,0.04804532],"category_scores_gemma":[0.1329311,0.005852213,0.01571296,0.02474973,0.005413543,0.01036006,0.009892621,0.006617832,0.01133865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01964625,"about_ca_system_score_gemma":0.1297995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007218923,"about_ca_topic_score_gemma":0.01302829,"domain_scores_codex":[0.9187265,0.03086457,0.03222073,0.004407891,0.01069484,0.003085434],"domain_scores_gemma":[0.8945433,0.03533241,0.01566652,0.007658917,0.04342777,0.003371101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003198931,0.0008451116,0.001823732,0.7859183,0.001634833,0.001679606,0.01310436,0.001955962,0.001952812,0.01613789,0.03469567,0.1370528],"study_design_scores_gemma":[0.006330209,0.001309774,0.0054316,0.7439825,0.004378212,0.0007813404,0.01200941,0.001162701,0.002590657,0.01063216,0.211004,0.0003874306],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0004795209,0.001936207,0.002110837,0.0004643857,0.0001212344,0.9919735,0.001989766,0.00003972855,0.0008848296],"genre_scores_gemma":[0.0004676946,0.001674787,0.00573416,0.0001234744,0.00001837906,0.991293,0.0004497138,0.000005067702,0.0002336045],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.166643,"threshold_uncertainty_score":0.8813028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2293021856690977,"score_gpt":0.5460689061187465,"score_spread":0.3167667204496488,"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."}}