{"id":"W2803907651","doi":"10.2196/10264","title":"Health Information Technology in Healthcare Quality and Patient Safety: Literature Review","year":2018,"lang":"en","type":"review","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Patient safety; Health information technology; Thematic analysis; Quality (philosophy); Knowledge management; Information technology; Health information exchange; Identification (biology); Medicine; Business; Computer science; Qualitative research; Health information; Political science","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":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.007770115,0.0007092489,0.004823364,0.001094648,0.0005461684,0.00002661003,0.0006640105,0.003122131,0.0001041553],"category_scores_gemma":[0.002262024,0.0005183073,0.0002123345,0.002425763,0.0002080096,0.0006280989,0.0005437134,0.007116635,0.0007236785],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002456188,"about_ca_system_score_gemma":0.01174373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002379863,"about_ca_topic_score_gemma":0.0003934824,"domain_scores_codex":[0.9820468,0.003171309,0.01130657,0.0003059247,0.00140262,0.001766792],"domain_scores_gemma":[0.9910597,0.000937962,0.005370919,0.001060936,0.0004907428,0.001079771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004287563,0.00001463127,0.00001488945,0.4202826,0.00001331667,0.000001838416,0.002484857,1.130249e-9,4.251341e-11,0.001965296,0.02197754,0.5532408],"study_design_scores_gemma":[0.0002895013,0.0002062983,0.000006059378,0.3847616,0.00001345802,0.00007932237,0.0004441369,0.00000894367,8.684263e-10,0.0001431679,0.613813,0.0002345514],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002636363,0.9583787,0.00005496719,0.02833398,0.0009269526,0.01082719,0.0002519488,0.0002305002,0.0009931413],"genre_scores_gemma":[0.000001118532,0.9541448,0.000428462,0.04155512,0.000240196,0.002497955,0.001044556,0.00004384077,0.00004388537],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5918354,"threshold_uncertainty_score":0.9997268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07651076199369453,"score_gpt":0.5215595673992847,"score_spread":0.4450488054055901,"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."}}