{"id":"W4391943183","doi":"10.3233/shti231312","title":"Towards a Regulatory Framework for Electronic Medical Record Interoperability in Canada","year":2024,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Professional Engineers Ontario; Public Health Ontario; University of Toronto","funders":"","keywords":"Interoperability; Medical emergency; Workflow; Health care; Business; Failure mode and effects analysis; Medical prescription; Patient safety; Workload; Medical record; Risk analysis (engineering); Medicine; Nursing; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.1523101,0.0009285308,0.001153929,0.009869659,0.01164574,0.02632984,0.01188543,0.01102007,0.004226054],"category_scores_gemma":[0.1898867,0.001947081,0.002441025,0.00654417,0.01412981,0.008692024,0.009504351,0.01125692,0.0009852237],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1689919,"about_ca_system_score_gemma":0.5338906,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9572599,"about_ca_topic_score_gemma":0.9418989,"domain_scores_codex":[0.8482064,0.03815769,0.01343962,0.009987833,0.07465929,0.01554914],"domain_scores_gemma":[0.6479416,0.09357377,0.013368,0.01536988,0.2113213,0.01842538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007945306,0.0003203476,0.009386066,0.0003448875,0.00005547093,0.0004207627,0.005628773,0.008226188,0.001584827,0.8776305,0.04397212,0.05235055],"study_design_scores_gemma":[0.0002598838,0.0003979639,0.04884964,0.005075773,0.0002025693,0.0003258866,0.009431663,0.04098982,0.00372047,0.119624,0.7703137,0.0008087291],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05971785,0.005459293,0.2408233,0.3510445,0.002389923,0.006533612,0.003426206,0.0022455,0.3283598],"genre_scores_gemma":[0.4743478,0.00388285,0.381188,0.06302228,0.001002281,0.003611033,0.002826186,0.0005142565,0.06960528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8310081,"threshold_uncertainty_score":0.9638516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0628401913906775,"score_gpt":0.4659649635571934,"score_spread":0.4031247721665159,"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."}}