{"id":"W4320004150","doi":"10.1016/b978-0-323-90802-3.00007-1","title":"Health information exchange as a profession","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina; Western University","funders":"","keywords":"Health informatics; Knowledge management; Interoperability; Health information exchange; Health care; Business; Human resources; Informatics; Information exchange; HRHIS; Information management; Health information; Computer science; Health policy; Engineering; World Wide Web; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008890006,0.0007906928,0.0005205416,0.002472673,0.002306992,0.009669526,0.000752356,0.002788302,0.1999736],"category_scores_gemma":[0.001401028,0.0005052448,0.0003636199,0.005122193,0.002143365,0.008404823,0.002577286,0.0025548,0.07826573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002996481,"about_ca_system_score_gemma":0.002955737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007897763,"about_ca_topic_score_gemma":0.01343405,"domain_scores_codex":[0.9993955,0.0001443825,0.0000295441,0.00007407564,0.0002939272,0.00006261408],"domain_scores_gemma":[0.999411,0.0003205791,0.00002551694,0.000063372,0.0001101087,0.00006943432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001108974,0.00004611187,0.0001044337,0.0002021737,0.000003337365,0.00006692998,0.0009856322,0.0002110698,0.0002596583,0.2964255,0.473615,0.2280691],"study_design_scores_gemma":[0.000001636304,0.000006237814,0.00009043744,0.0001219315,0.000001414238,0.0000535889,0.000232217,0.00009912501,0.00004029908,0.01462689,0.9847236,0.000002723234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0002413684,0.0095096,0.001183959,0.002390247,0.001034013,0.00001581637,0.00005887567,0.00007450536,0.9854915],"genre_scores_gemma":[0.002108098,0.005639859,0.0007322846,0.0007138223,0.0004158421,0.00001528952,0.00005224223,0.00005569341,0.9902667],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1999736,"threshold_uncertainty_score":0.6689783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0581349417956055,"score_gpt":0.4037312225673271,"score_spread":0.3455962807717216,"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."}}