{"id":"W2416143318","doi":"10.2196/mhealth.5464","title":"Mobile Electronic Medical Records Promote Workflow: Physicians’ Perspective From a Survey","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workflow; Medicine; Medical record; Family medicine; Tablet pc; MEDLINE; mHealth; Medical emergency; Psychological intervention; Nursing; Multimedia; Computer science; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.006932008,0.0001563242,0.0001821277,0.001019985,0.001156359,0.001997503,0.0002427561,0.0009227906,0.001562367],"category_scores_gemma":[0.02071753,0.0002362072,0.0002748834,0.001356936,0.0007283394,0.001891405,0.001018172,0.0009020186,0.0002142983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134241,"about_ca_system_score_gemma":0.002061354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00511151,"about_ca_topic_score_gemma":0.005834175,"domain_scores_codex":[0.9939197,0.004203133,0.0003394169,0.0001827533,0.0007832715,0.0005716094],"domain_scores_gemma":[0.9712121,0.01636281,0.005068488,0.0003250971,0.00380827,0.003223121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001606539,0.0003942441,0.7140468,0.0003947655,0.00004365571,0.001233084,0.2261801,0.0002029373,0.001326033,0.0008690876,0.004563101,0.05058553],"study_design_scores_gemma":[0.00004740364,0.001135768,0.5424467,0.0004774673,0.00004756911,0.001448749,0.4280012,0.000773194,0.0006048773,0.0002793252,0.02468375,0.00005393413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876249,0.0006425717,0.0004351517,0.007295972,0.00002071876,0.00003439417,0.0001417554,0.000008611739,0.003795996],"genre_scores_gemma":[0.9966652,0.0009547239,0.0004063197,0.001566265,0.00004053743,0.00001775822,0.00005992792,0.000003037421,0.0002863146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006932008,"threshold_uncertainty_score":0.03666037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06151952011471404,"score_gpt":0.4539550463884607,"score_spread":0.3924355262737467,"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."}}