{"id":"W3172260675","doi":"10.2196/21929","title":"The Fast Health Interoperability Resources (FHIR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities","year":2021,"lang":"en","type":"review","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":280,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interoperability; Computer science; Systematic review; Documentation; Health care; Health information technology; Health informatics; Implementation; Data science; Knowledge management; MEDLINE; Medicine; World Wide Web; Software engineering; Nursing; Public health","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":[],"category_scores_codex":[0.0145686,0.0005168127,0.004424529,0.0001813504,0.0009217449,0.00004941451,0.0007865746,0.0006198848,0.0001142053],"category_scores_gemma":[0.001090296,0.0002886101,0.0003171163,0.0003923769,0.0002710251,0.0001731195,0.0004394908,0.002441706,0.000022812],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007525298,"about_ca_system_score_gemma":0.007525947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001182778,"about_ca_topic_score_gemma":0.0001129858,"domain_scores_codex":[0.9827787,0.00646522,0.008120391,0.0002751483,0.001507649,0.0008529345],"domain_scores_gemma":[0.988319,0.004354475,0.00464203,0.00128364,0.0007513925,0.0006494011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001010362,0.0000117824,2.41076e-7,0.5431655,0.00007642024,7.326532e-7,0.006827607,3.581029e-10,9.355734e-11,0.002641192,0.005007048,0.4422685],"study_design_scores_gemma":[0.0000920525,0.0000658322,1.707831e-7,0.4746467,0.0000864215,0.00004030851,0.01675808,0.000002018303,1.235397e-9,0.00001265269,0.5081951,0.0001006823],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.585018e-7,0.9807556,0.00009812854,0.004041559,0.0002847524,0.01330878,0.0003794161,0.00007042943,0.001060829],"genre_scores_gemma":[3.437705e-7,0.9850432,0.0001441723,0.002529575,0.0002578176,0.01108975,0.0005223663,0.00004732901,0.0003654734],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.503188,"threshold_uncertainty_score":0.9999566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1448242637845235,"score_gpt":0.507788053023976,"score_spread":0.3629637892394525,"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."}}