{"id":"W2132746538","doi":"10.1109/congress.2009.14","title":"Electronic Personal Health Record Systems: A Brief Review of Privacy, Security, and Architectural Issues","year":2009,"lang":"en","type":"review","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Variety (cybernetics); Internet privacy; Personally identifiable information; Information privacy; Computer security; Health care; Computer science; Medical prescription; Architecture; Medical information; Business; Knowledge management; Medicine; Nursing","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":[0.004344962,0.0008712577,0.001708707,0.006414029,0.0007368557,0.001991926,0.00158849,0.002573695,0.00417191],"category_scores_gemma":[0.007497072,0.0007113022,0.0009392286,0.008832549,0.001394332,0.004689949,0.000906396,0.002128452,0.002914939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002180408,"about_ca_system_score_gemma":0.004179488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006796553,"about_ca_topic_score_gemma":0.01049906,"domain_scores_codex":[0.9978508,0.0005762135,0.00042643,0.0002076762,0.0008530971,0.00008577949],"domain_scores_gemma":[0.9903116,0.006053427,0.0008110225,0.0002244897,0.002398177,0.0002013023],"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":[0.00004621824,0.00007941449,0.0003131953,0.02904932,0.00008377714,0.0002195046,0.0002509849,0.0003508801,0.0007044755,0.008038454,0.04239805,0.9184656],"study_design_scores_gemma":[0.00001131209,0.0000961403,0.001182956,0.0137777,0.00009392655,0.001041886,0.000183785,0.0001093249,0.0002420604,0.001720956,0.981513,0.000027018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007355164,0.9972764,0.0003233594,0.0007327227,0.0002051405,0.00001373103,0.00001693045,0.000007097749,0.001351225],"genre_scores_gemma":[0.0004760309,0.9977876,0.0006869799,0.0003490514,0.0002014124,0.00001489525,0.00002573723,0.00000253102,0.000455764],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006796553,"threshold_uncertainty_score":0.0229786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08441904287598469,"score_gpt":0.4907236899965089,"score_spread":0.4063046471205242,"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."}}