{"id":"W2057504103","doi":"10.1186/1472-6947-8-33","title":"Is Canada ready for patient accessible electronic health records? A national scan","year":2008,"lang":"en","type":"article","venue":"BMC Medical Informatics and Decision Making","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of British Columbia; Health Sciences Centre; Sunnybrook Health Science Centre; Grand River Hospital; University Health Network; University of Toronto; BC Cancer Agency; Princess Margaret Cancer Centre","funders":"Canadian Institutes of Health Research; Cancer Care Ontario","keywords":"Health informatics; Patient portal; Health care; Electronic health record; Business; Medical emergency; Medical record; Medicine; Health information exchange; Internet privacy; Family medicine; Public health; Nursing; Health information; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003188163,0.0002068794,0.0005191478,0.000176448,0.001596155,0.00001917048,0.0002695895,0.0002509056,0.000346737],"category_scores_gemma":[0.001650091,0.0001654318,0.00005500096,0.0002951192,0.00004564101,0.0002049334,0.0001541925,0.0007590368,0.00002823742],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001765494,"about_ca_system_score_gemma":0.04461496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03976717,"about_ca_topic_score_gemma":0.4330928,"domain_scores_codex":[0.9942843,0.0002077157,0.002220375,0.0002223101,0.001827993,0.001237318],"domain_scores_gemma":[0.9930136,0.00474629,0.000904061,0.0002612722,0.0004528296,0.000621923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002402922,0.00004962402,0.01143055,0.001850734,0.00002924426,0.00000270532,0.003686683,0.00003533257,1.587677e-7,0.005124233,0.6108802,0.3666702],"study_design_scores_gemma":[0.003047869,0.000636895,0.002070392,0.002969661,0.000008148894,0.0001266974,0.003886291,0.3606845,0.000001533465,0.006389008,0.6197333,0.0004456962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5225737,0.002479638,0.4546067,0.001713377,0.002694244,0.004114317,0.0001941939,0.0001477808,0.01147601],"genre_scores_gemma":[0.8335798,0.002290019,0.09361104,0.06811452,0.000892404,0.0007790244,0.0001070379,0.00007474145,0.0005514052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3933257,"threshold_uncertainty_score":0.9997036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347459974482477,"score_gpt":0.4718573103743776,"score_spread":0.3371113129261298,"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."}}