{"id":"W4378878712","doi":"10.2196/47335","title":"Barriers and Enablers for Implementation of an Artificial Intelligence–Based Decision Support Tool to Reduce the Risk of Readmission of Patients With Heart Failure: Stakeholder Interviews","year":2023,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Högskolan i Halmstad","keywords":"Implementation; Stakeholder; Workflow; Knowledge management; Process management; Decision support system; Clinical decision support system; Context (archaeology); Information system; Business; Computer science; Engineering; Public relations","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":[0.002098397,0.0001035611,0.00025957,0.0004195161,0.0001179001,0.00001381356,0.00009288221,0.00003663094,0.0001554617],"category_scores_gemma":[0.0001908548,0.00005911985,0.00005685116,0.0007025008,0.0001256168,0.0001819849,0.00007603975,0.0001093814,0.000004908084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005775003,"about_ca_system_score_gemma":0.0001779273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000751876,"about_ca_topic_score_gemma":0.00009195019,"domain_scores_codex":[0.9981896,0.0001866088,0.0004785087,0.000179057,0.0006996649,0.0002665424],"domain_scores_gemma":[0.9986135,0.000279208,0.0001302697,0.0002815622,0.0005445192,0.0001508897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01481507,0.001094187,0.06916045,0.002072501,0.0004711809,0.000003539746,0.06452813,0.0001661313,0.01225815,0.0007512319,0.07653438,0.758145],"study_design_scores_gemma":[0.005473049,0.0326014,0.296454,0.0009261065,0.0002015945,9.25823e-7,0.1283764,0.002824511,0.5048646,0.001227628,0.02672808,0.0003217239],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993555,0.000002710246,0.001650412,0.001388643,0.00002050336,0.003233194,0.0001241563,0.000009960219,0.00001542792],"genre_scores_gemma":[0.9955016,0.000008082491,0.003986199,0.00002627037,0.00001022064,0.0003037722,0.0001267604,0.00001254631,0.00002448919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7578233,"threshold_uncertainty_score":0.2410837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1183684894110916,"score_gpt":0.4417546882664521,"score_spread":0.3233861988553605,"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."}}