{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006998863,0.0009566365,0.001974262,0.01382165,0.00118917,0.004157053,0.001653444,0.002920029,0.005481897],"category_scores_gemma":[0.03099351,0.0006831859,0.002166599,0.01990885,0.001562657,0.004854639,0.001914963,0.002169612,0.0008849617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003901985,"about_ca_system_score_gemma":0.01693494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008841621,"about_ca_topic_score_gemma":0.01221247,"domain_scores_codex":[0.9937768,0.002122787,0.001693772,0.0004262771,0.001738903,0.0002415749],"domain_scores_gemma":[0.9332091,0.05483233,0.00500005,0.0006659934,0.005637152,0.000655498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00007871477,0.0001239391,0.001627078,0.4392898,0.0007174081,0.0004342002,0.002207354,0.0004676895,0.0002049116,0.006401068,0.02776783,0.52068],"study_design_scores_gemma":[0.00002467554,0.0001040247,0.005344084,0.7664834,0.002299736,0.001224421,0.002405094,0.0001963659,0.0002188323,0.003112832,0.2185365,0.00004998687],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002584306,0.9975453,0.000109906,0.0009690485,0.0001402587,0.00002442643,0.0000387815,0.000004726298,0.0009090998],"genre_scores_gemma":[0.003440022,0.9954174,0.0002915163,0.0005512934,0.0001343842,0.00003601678,0.00004149936,0.000002704996,0.00008511997],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01382165,"threshold_uncertainty_score":0.03701401,"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."}}