{"id":"W2808748255","doi":"10.2196/medinform.9776","title":"The Impact of Implementation of a Clinically Integrated Problem-Based Neonatal Electronic Health Record on Documentation Metrics, Provider Satisfaction, and Hospital Reimbursement: A Quality Improvement Project","year":2018,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Health and Human Services","keywords":"Documentation; Reimbursement; Electronic health record; Psychological intervention; Quality management; Quality (philosophy); Medicine; Medical diagnosis; Health information technology; Medical emergency; Health care; Computer science; Nursing; Operations management; Engineering","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":[0.08284084,0.0007982566,0.0006958533,0.002105413,0.001137868,0.003194853,0.002169557,0.00116616,0.001358472],"category_scores_gemma":[0.1055734,0.0006013534,0.001341593,0.002243804,0.001259664,0.002900634,0.004288226,0.001547098,0.0002426808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007537658,"about_ca_system_score_gemma":0.0172771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038334,"about_ca_topic_score_gemma":0.006967991,"domain_scores_codex":[0.9263706,0.04937604,0.006708074,0.003598276,0.01113388,0.002813108],"domain_scores_gemma":[0.8836793,0.04691372,0.0231504,0.0150363,0.02325032,0.007969905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007373298,0.04740488,0.4361188,0.0008746809,0.0009963306,0.0001812743,0.00341321,0.01305723,0.002246962,0.000747434,0.002276449,0.4853095],"study_design_scores_gemma":[0.006380999,0.08955925,0.8309073,0.0005154504,0.001369718,0.0003989039,0.004433724,0.05032106,0.01047617,0.000422736,0.005041221,0.0001733719],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905685,0.0001300695,0.004429811,0.000616037,0.00003825834,0.002506738,0.0004201643,0.0001654491,0.001125041],"genre_scores_gemma":[0.9638607,0.0001415437,0.03207261,0.0002374895,0.0000368448,0.002598685,0.0006488971,0.00003142382,0.0003717089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08284084,"threshold_uncertainty_score":0.4381095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03964992029619211,"score_gpt":0.5045394559759406,"score_spread":0.4648895356797485,"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."}}