{"id":"W4312601109","doi":"10.46532/ijaict-202108024","title":"Formulating the Business Case for Hospital Information Systems – Analysis of Kaiser Permanente Investment Choice","year":2021,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Obligation; Investment (military); Medical record; Business; Relation (database); Information technology; Knowledge management; Medical information; Information system; Process management; Medicine; Computer science; Engineering; Political science; Data mining","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":[0.005172953,0.0003702724,0.0004579908,0.002514837,0.002089712,0.00751557,0.0009327666,0.00170231,0.01248315],"category_scores_gemma":[0.0178081,0.0002851384,0.0006234964,0.002596376,0.002990448,0.005591561,0.001879802,0.002109593,0.0003389935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008910377,"about_ca_system_score_gemma":0.003959213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02006176,"about_ca_topic_score_gemma":0.01736174,"domain_scores_codex":[0.99503,0.002213083,0.000181983,0.0004880629,0.001142937,0.0009438249],"domain_scores_gemma":[0.9858357,0.0103296,0.001505154,0.00044611,0.0009615372,0.0009217834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001478368,0.0001755674,0.04362714,0.0001065386,0.00005691931,0.0009555312,0.001556216,0.0110385,0.0003821584,0.9262781,0.00397982,0.0116957],"study_design_scores_gemma":[0.0001526304,0.0006876299,0.1150511,0.0005511673,0.0001858771,0.001287036,0.041895,0.2096209,0.00244877,0.5508857,0.07695051,0.0002837837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8410614,0.0009832839,0.0218901,0.01347394,0.00005397143,0.0003490347,0.000624185,0.00004336983,0.1215206],"genre_scores_gemma":[0.9922959,0.0001560168,0.003475585,0.0001324758,0.0000185498,0.00006616737,0.00009997637,0.000008792464,0.003746544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02006176,"threshold_uncertainty_score":0.06464958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188682315564467,"score_gpt":0.2870633083956647,"score_spread":0.268195076839218,"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."}}