{"id":"W1992180821","doi":"10.1007/s10916-014-0099-9","title":"Understanding Critical Barriers to Implementing a Clinical Information System in a Nursing Home Through the Lens of a Socio-Technical Perspective","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Systems","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University; McMaster University","funders":"","keywords":"Workflow; Health informatics; Information system; Health care; Knowledge management; Usability; Government (linguistics); Nursing; Process management; Computer science; Business; Medicine; Human–computer interaction; Engineering; Political science; Public health","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.04331428,0.0006838734,0.0005564709,0.004756703,0.02092978,0.02768531,0.004062708,0.006276156,0.00594437],"category_scores_gemma":[0.0901656,0.001023355,0.0005453502,0.002823644,0.02756047,0.01647719,0.01242512,0.009975608,0.0004579991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01783108,"about_ca_system_score_gemma":0.04670729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02533049,"about_ca_topic_score_gemma":0.02440941,"domain_scores_codex":[0.9519224,0.03169897,0.002084934,0.001382808,0.00580083,0.007109925],"domain_scores_gemma":[0.8271905,0.1317175,0.01198208,0.002216248,0.01429647,0.01259719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00010961,0.0006414937,0.04023634,0.0006067184,0.00008125563,0.00243243,0.5962704,0.001247086,0.001058954,0.3242959,0.006682908,0.02633697],"study_design_scores_gemma":[0.0000233074,0.0001231095,0.01168029,0.0009521934,0.0000341298,0.0003781493,0.9123087,0.001539212,0.0005394113,0.04374569,0.02861352,0.00006235969],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6758038,0.001860768,0.01822947,0.2061988,0.0003893971,0.0002508597,0.000082664,0.00008279425,0.0971013],"genre_scores_gemma":[0.991582,0.000631886,0.003482613,0.002805233,0.00006026155,0.0000671501,0.00001596136,0.000030026,0.001324907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9790702,"threshold_uncertainty_score":0.2290705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1645407221147804,"score_gpt":0.5265240246499545,"score_spread":0.3619833025351742,"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."}}