{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009007051,0.000269773,0.0006293766,0.0002759928,0.0005428659,0.00002417348,0.0002321137,0.0002691183,0.0001988913],"category_scores_gemma":[0.0009291378,0.0001685528,0.0001310612,0.0007758203,0.0002806008,0.0003064903,0.00006824729,0.001075781,0.00001395992],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182335,"about_ca_system_score_gemma":0.0123301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02468513,"about_ca_topic_score_gemma":0.007721758,"domain_scores_codex":[0.9913809,0.001108301,0.004989636,0.0002274808,0.001289934,0.001003786],"domain_scores_gemma":[0.9929171,0.001441476,0.00408582,0.0004301343,0.00082457,0.0003008694],"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":[0.0008026184,0.0002262618,0.1334632,0.00247945,0.0002746707,1.966711e-7,0.01975531,0.000001045714,0.00002693199,0.001783961,0.01079113,0.8303953],"study_design_scores_gemma":[0.04974509,0.2433507,0.3507732,0.007604294,0.0002534192,0.00001450939,0.2606697,0.02650927,0.001104909,0.005008897,0.05264944,0.002316606],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843835,0.0001001532,0.003775986,0.002066335,0.0004182379,0.008839334,0.00009381751,0.00007411429,0.0002485793],"genre_scores_gemma":[0.9962653,0.0003630497,0.001210071,0.0008442263,0.0001514937,0.0009773429,0.0001226896,0.0000260591,0.00003976666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8280787,"threshold_uncertainty_score":0.9932691,"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."}}