{"id":"W4408226088","doi":"10.2196/59801","title":"Applying Robotic Process Automation to Monitor Business Processes in Hospital Information Systems: Mixed Method Approach","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Robotic Process Automation Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business process reengineering; Process (computing); End user; Process automation system; Automation; Process management; World Wide Web; Engineering; Operating system","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"],"consensus_categories":[],"category_scores_codex":[0.0005091871,0.0002854977,0.0004160999,0.0007798588,0.0001015641,0.0002673953,0.0005542368,0.0003036927,0.000008366975],"category_scores_gemma":[0.0006313469,0.0002769798,0.00002971307,0.003596365,0.00003755153,0.001874916,0.00008299599,0.0003459185,0.0001210087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002644054,"about_ca_system_score_gemma":0.0003247777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001020004,"about_ca_topic_score_gemma":0.000002573294,"domain_scores_codex":[0.9971803,0.0000278011,0.00142834,0.0001284394,0.0008402758,0.0003948343],"domain_scores_gemma":[0.9986335,0.0001403147,0.0001929348,0.0003228179,0.0005012843,0.0002091369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005009783,0.000148689,0.0001334869,0.01477655,0.00003968462,5.489791e-7,0.009139526,0.9272425,0.000004438644,0.002042828,0.002134448,0.04433225],"study_design_scores_gemma":[0.0005139238,0.00001187657,0.001844264,0.0007742313,0.00001739228,0.00000776783,0.005819078,0.9885615,0.0001041334,0.0001133969,0.001924725,0.0003077454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01029394,0.00006289461,0.9782059,0.0002778356,0.0004874947,0.003071101,0.000007551811,0.001136231,0.006457109],"genre_scores_gemma":[0.9100302,0.00003029265,0.0753663,0.0003183658,0.00007655571,0.01388806,0.0002196846,0.0000329533,0.0000375942],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9028395,"threshold_uncertainty_score":0.9999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008207123063751832,"score_gpt":0.2822166679253235,"score_spread":0.2740095448615717,"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."}}