{"id":"W4293456617","doi":"10.1016/s2589-7500(22)00151-0","title":"CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research","year":2022,"lang":"en","type":"review","venue":"The Lancet Digital Health","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Abbott Vascular; U.S. Food and Drug Administration; European Medicines Agency; Innovative Medicines Initiative; Zorginstituut Nederland; Vifor Pharma; Karolinska Institutet; Respicardia; Queen's University; Queen's University Belfast; European Commission; University of Oxford; Imperial College London; CSL Behring; National Institute for Health and Care Research; University of Birmingham; Sanofi; Abiomed; MyoKardia; Regeneron Pharmaceuticals; University Hospitals Birmingham NHS Foundation Trust; University College London; University of Cambridge; British Heart Foundation; Universitetet i Oslo; European Federation of Pharmaceutical Industries and Associations; InfraRedx; Medicure; Boston Scientific Corporation; AstraZeneca; University of Leeds; National Institute for Health and Care Excellence; Cardinal Health; Medical Research Council; University Hospitals; European Society of Cardiology; Amgen; Edwards Lifesciences; Daiichi Sankyo Europe; Servier; Bayer; Pfizer","keywords":"Big data; Mandate; Transparency (behavior); Health care; Best practice; Health records; Data science; Medicine; Comparative effectiveness research; Computer science; Political science; Data mining; Computer security","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2364332,0.001983227,0.00439539,0.02063326,0.003963117,0.0107535,0.01134631,0.01424331,0.003798512],"category_scores_gemma":[0.3429461,0.002286998,0.006402566,0.01390345,0.01006761,0.01049477,0.01537431,0.01479245,0.003513765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01581754,"about_ca_system_score_gemma":0.119413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01636266,"about_ca_topic_score_gemma":0.02421738,"domain_scores_codex":[0.6617038,0.1756351,0.08453417,0.007912954,0.06599966,0.004214344],"domain_scores_gemma":[0.5933222,0.2241904,0.03324486,0.03301246,0.1078918,0.008338244],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001720371,0.00023323,0.002317922,0.06730508,0.0006244876,0.0004889992,0.004962644,0.002152559,0.001129096,0.2975051,0.1148122,0.5082967],"study_design_scores_gemma":[0.000237724,0.000274423,0.00440909,0.1771914,0.0007340006,0.001353935,0.001986166,0.001804654,0.001358953,0.09454103,0.7158234,0.0002852319],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003503651,0.2639948,0.3800058,0.2520716,0.01113616,0.01935994,0.005161384,0.002567359,0.06219935],"genre_scores_gemma":[0.02678987,0.09586027,0.8058905,0.04118015,0.001175705,0.02099566,0.004103786,0.0003976354,0.003606386],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7635668,"threshold_uncertainty_score":0.9416138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6334034961667871,"score_gpt":0.6550511397211161,"score_spread":0.02164764355432891,"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."}}