{"id":"W2904645365","doi":"10.2196/medinform.9845","title":"OpenEHR and General Data Protection Regulation: Evaluation of Principles and Requirements","year":2018,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund","keywords":"General Data Protection Regulation; Data Protection Act 1998; Interoperability; Directive; Legislation; European union; Directive on Privacy and Electronic Communications; Data Protection Directive; Personally identifiable information; Software; Information privacy law; Computer security; Business; Computer science; Internet privacy; Privacy by Design; Political science; World Wide Web; Law; European Union law","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.203987,0.0007125974,0.0009278963,0.006695013,0.004095179,0.01167947,0.002999442,0.005674125,0.002829235],"category_scores_gemma":[0.2367202,0.000749903,0.002525775,0.004951645,0.01036191,0.01208269,0.009964063,0.005895209,0.0007037286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01261607,"about_ca_system_score_gemma":0.03629676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009509156,"about_ca_topic_score_gemma":0.005169364,"domain_scores_codex":[0.6760278,0.1300451,0.02790537,0.01021255,0.1473117,0.00849746],"domain_scores_gemma":[0.505116,0.3429899,0.02737383,0.03082712,0.0892728,0.004420376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004885779,0.001160377,0.04503724,0.004139999,0.0001703719,0.0008621278,0.03474573,0.007703057,0.004984107,0.5650622,0.01378862,0.3218576],"study_design_scores_gemma":[0.0003506161,0.003507383,0.1484071,0.01660253,0.0005528058,0.003809222,0.07811642,0.0239179,0.02220196,0.2007505,0.5009264,0.0008572209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3567204,0.009579014,0.2185866,0.04221833,0.0009507778,0.007699755,0.001032161,0.001036382,0.3621765],"genre_scores_gemma":[0.808207,0.003051833,0.1635087,0.009078841,0.0002622542,0.002586182,0.001361198,0.0003167083,0.01162716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.203987,"threshold_uncertainty_score":0.9816257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3674824881268607,"score_gpt":0.5373649531194604,"score_spread":0.1698824649925997,"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."}}