{"id":"W4293049611","doi":"10.2196/37472","title":"Investigating a Work System Approach to Implement an Emergency Department Surge Management System: Case Study","year":2022,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Emergency and Acute Care Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Institutes of Health Research","keywords":"eHealth; Emergency department; Workflow; Computer science; Documentation; Health informatics; Work (physics); Management system; Process management; Health care; Knowledge management; Data science; Medicine; Nursing; Operations management; Engineering; Public health; Database","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01338852,0.0006368309,0.0003825985,0.002086616,0.00949345,0.003837345,0.003016479,0.003978954,0.002866154],"category_scores_gemma":[0.03196105,0.0009143078,0.0009253977,0.001825929,0.005942835,0.003476773,0.004937353,0.004141533,0.0006196426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0084907,"about_ca_system_score_gemma":0.009483352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006839637,"about_ca_topic_score_gemma":0.01180502,"domain_scores_codex":[0.979979,0.01501434,0.0007488899,0.0007701245,0.001741922,0.001745688],"domain_scores_gemma":[0.9816439,0.01023371,0.002480202,0.00101398,0.002084486,0.002543822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001903128,0.004779308,0.08282571,0.001351362,0.0001082103,0.06352603,0.7161153,0.004322133,0.005299533,0.02697558,0.007217944,0.08728857],"study_design_scores_gemma":[0.0001410493,0.003234212,0.03618345,0.001130124,0.00008388791,0.02199784,0.8461621,0.01205385,0.00478232,0.005276193,0.06879419,0.0001606689],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9414749,0.0004122934,0.0288799,0.008391877,0.0001387937,0.001071815,0.00005418998,0.0001191522,0.01945713],"genre_scores_gemma":[0.9647337,0.0006328633,0.02896035,0.001443509,0.00005624027,0.0005558211,0.00004652209,0.00005204833,0.00351907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01338852,"threshold_uncertainty_score":0.07080615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1418360672642316,"score_gpt":0.4491574089361466,"score_spread":0.307321341671915,"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."}}