{"id":"W3207637680","doi":"10.2196/27887","title":"Enriching the Value of Patient Experience Feedback: Web-Based Dashboard Development Using Co-design and Heuristic Evaluation","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIHR Imperial Biomedical Research Centre; Imperial College Healthcare NHS Trust; Imperial College London; National Institute for Health and Care Research","keywords":"Usability; Dashboard; System usability scale; Heuristic evaluation; Computer science; Usability goals; Usability lab; User experience design; Usability engineering; Human–computer interaction; Process management; Engineering; Data 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":[0.07174935,0.002185949,0.001394465,0.005317423,0.00163805,0.007587784,0.002831836,0.001292733,0.003224598],"category_scores_gemma":[0.1353895,0.001030744,0.001483142,0.002514876,0.003083756,0.004528993,0.005325078,0.001673063,0.0007788891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003174131,"about_ca_system_score_gemma":0.005901116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051327,"about_ca_topic_score_gemma":0.001862771,"domain_scores_codex":[0.9037868,0.07776213,0.004386948,0.003612401,0.009343675,0.001108027],"domain_scores_gemma":[0.7607132,0.1920167,0.007545787,0.0110647,0.02628519,0.002374297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001532417,0.003694515,0.01798584,0.007167492,0.0004133049,0.0009518072,0.09014848,0.01665712,0.01740041,0.01136777,0.005502387,0.8271784],"study_design_scores_gemma":[0.004083422,0.0242831,0.04260839,0.01549841,0.002457103,0.003117815,0.177344,0.4010948,0.1096451,0.07494677,0.1431821,0.001739151],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2975093,0.0006476307,0.668555,0.001669823,0.0002101422,0.01229249,0.000339149,0.002590624,0.01618581],"genre_scores_gemma":[0.2690028,0.0002804518,0.7238058,0.0001939117,0.00003195386,0.005184353,0.0002684425,0.000232128,0.001000228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07174935,"threshold_uncertainty_score":0.3794514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1777216465390485,"score_gpt":0.4696958001194634,"score_spread":0.291974153580415,"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."}}