{"id":"W4391854200","doi":"10.1177/23743735241228931","title":"Digital Maturity as a Strategy for Advancing Patient Experience in US Hospitals","year":2024,"lang":"en","type":"article","venue":"Journal of Patient Experience","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Maturity (psychological); Patient experience; Capability Maturity Model; Digital health; Health care; Nursing; Patient satisfaction; Digital transformation; Healthcare system; Quality (philosophy); Medicine; Multivariate analysis; Family medicine; Psychology; Political science; Computer science; World Wide Web","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":[0.0119285,0.0001730372,0.0001818767,0.001083849,0.00126125,0.004051809,0.0005919419,0.0005887648,0.00382207],"category_scores_gemma":[0.03641294,0.0001417902,0.0004581808,0.001270764,0.001197941,0.003875359,0.007079384,0.001701803,0.0001767913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003839203,"about_ca_system_score_gemma":0.008920742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005062858,"about_ca_topic_score_gemma":0.008408178,"domain_scores_codex":[0.9889883,0.008036522,0.0005532106,0.0002403142,0.0008600762,0.001321575],"domain_scores_gemma":[0.9727633,0.009950137,0.005370034,0.001468541,0.002777575,0.007670495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003778715,0.001328583,0.6150216,0.0003858508,0.0001181558,0.0003379455,0.03706712,0.001915795,0.001412384,0.0310116,0.007516554,0.3035066],"study_design_scores_gemma":[0.0001198259,0.001979852,0.7428588,0.001505008,0.0001089888,0.0006136257,0.1686282,0.007931325,0.002811062,0.02569346,0.04759732,0.0001525013],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538816,0.0006861452,0.003728673,0.02349374,0.00006373039,0.0001801637,0.0001086601,0.00005638069,0.01780093],"genre_scores_gemma":[0.9969527,0.000152127,0.001829017,0.0006566453,0.00001600851,0.00003204462,0.00003308699,0.000005028422,0.0003233254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0119285,"threshold_uncertainty_score":0.06308466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02660000466611323,"score_gpt":0.3835071086552083,"score_spread":0.3569071039890951,"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."}}