{"id":"W2747578771","doi":"10.4236/ti.2017.83015","title":"Document Management and Process Automation in a Paperless Healthcare Institution","year":2017,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Health informatics; Informatics; Business; Process (computing); Quality (philosophy); Medical prescription; Automation; Information technology; Service (business); Knowledge management; Process management; Medicine; Computer science; Nursing; Engineering; Marketing; 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":[0.00968147,0.0002277374,0.0003000852,0.005845353,0.001217217,0.006399548,0.00100316,0.001083938,0.002218084],"category_scores_gemma":[0.01942751,0.0002042526,0.0004187847,0.007200578,0.001542436,0.00481551,0.001120497,0.0005461328,0.0006687638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002536083,"about_ca_system_score_gemma":0.006608812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002958053,"about_ca_topic_score_gemma":0.003874634,"domain_scores_codex":[0.9833652,0.007855904,0.002368629,0.001007064,0.005086629,0.0003164017],"domain_scores_gemma":[0.9585153,0.02367074,0.009498568,0.002438782,0.00536987,0.0005067927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000273603,0.0003666184,0.02893518,0.007710662,0.000196096,0.0009852432,0.008171487,0.001957624,0.007093021,0.0368623,0.006557798,0.9008904],"study_design_scores_gemma":[0.0002680044,0.002028102,0.1616361,0.01534893,0.001158226,0.004532601,0.03554118,0.009144193,0.04428456,0.07343062,0.6522777,0.0003497611],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4587333,0.2274202,0.1318128,0.02347038,0.001061678,0.001336022,0.001216673,0.001027076,0.1539219],"genre_scores_gemma":[0.823006,0.04728726,0.116472,0.001736127,0.0004766748,0.0002413492,0.0005175559,0.00005634379,0.01020665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00968147,"threshold_uncertainty_score":0.05120111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03584710333092402,"score_gpt":0.4209227706033604,"score_spread":0.3850756672724364,"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."}}