{"id":"W4390511526","doi":"10.1016/j.tipsro.2023.100233","title":"Real world challenges in maintaining data integrity in electronic health records in a cancer program","year":2024,"lang":"en","type":"article","venue":"Technical Innovations & Patient Support in Radiation Oncology","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Documentation; Workload; Electronic health record; Electronic records; Health records; Medicine; Computer science; Medical emergency; World Wide Web; Health care; Operating system","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":[0.04244281,0.0002005682,0.0003554739,0.001555169,0.004069906,0.007238584,0.002187788,0.001860853,0.003131037],"category_scores_gemma":[0.1803072,0.0004859818,0.0003949194,0.00321554,0.002343711,0.005375262,0.003333868,0.002562837,0.0005908025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005407803,"about_ca_system_score_gemma":0.009739787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01220894,"about_ca_topic_score_gemma":0.02063869,"domain_scores_codex":[0.9546301,0.02548103,0.004134863,0.002481574,0.01099387,0.002278552],"domain_scores_gemma":[0.7744309,0.1372812,0.04040208,0.01096878,0.02756615,0.009350898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005834965,0.001416758,0.5121714,0.001041817,0.0002487852,0.002789761,0.03477035,0.004870674,0.0018148,0.005859111,0.03366004,0.4007731],"study_design_scores_gemma":[0.0001158516,0.002366489,0.6396269,0.003565713,0.0003614634,0.01152057,0.1957625,0.02226734,0.005112829,0.02238148,0.09651643,0.0004025296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8947935,0.003248689,0.008329255,0.08003396,0.0002755395,0.000265161,0.0005813478,0.000315704,0.01215679],"genre_scores_gemma":[0.9858723,0.00106339,0.008655882,0.003203433,0.0001690721,0.00007141243,0.0001876721,0.00007707994,0.0006997875],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04244281,"threshold_uncertainty_score":0.2244617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2481839650811031,"score_gpt":0.5541721835595173,"score_spread":0.3059882184784142,"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."}}