{"id":"W2112334341","doi":"10.1109/congress.2009.28","title":"Integrating Change Management into Clinical Health Information Technology Project Practice","year":2009,"lang":"en","type":"article","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Scope (computer science); Change management (ITSM); Process management; Schedule; Change order; Resistance (ecology); Risk analysis (engineering); Project management; Knowledge management; Business; Health information technology; Computer science; Health care; Project management triangle; Engineering; OPM3; Marketing; Systems engineering; Political science","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":[0.05936162,0.0006908397,0.0004920665,0.003349682,0.003155177,0.009484902,0.002593781,0.002558549,0.002538794],"category_scores_gemma":[0.107934,0.0006122511,0.0006908519,0.003058062,0.004430722,0.007264727,0.006749403,0.002613984,0.0005011327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01017762,"about_ca_system_score_gemma":0.01772607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00467913,"about_ca_topic_score_gemma":0.005866337,"domain_scores_codex":[0.9103303,0.07384899,0.002894577,0.00240875,0.007969225,0.002548162],"domain_scores_gemma":[0.8997484,0.07009469,0.009142349,0.007625178,0.007786732,0.005602574],"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":[0.0002434753,0.002189157,0.06117281,0.00104934,0.0001309823,0.0002748998,0.03030724,0.01285588,0.0009480899,0.05347748,0.008250918,0.8290998],"study_design_scores_gemma":[0.001155082,0.008527501,0.1102103,0.004732782,0.0004597926,0.001200905,0.135551,0.2664295,0.006868221,0.2710673,0.1931563,0.0006411911],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5266368,0.001804029,0.2664485,0.06309019,0.0004181994,0.00484285,0.0001305428,0.001880747,0.1347481],"genre_scores_gemma":[0.8614228,0.0005494133,0.1341355,0.0008815837,0.00008022147,0.001123181,0.00006211142,0.00004616962,0.001699051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05936162,"threshold_uncertainty_score":0.313938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1536071187911562,"score_gpt":0.5781811926782804,"score_spread":0.4245740738871242,"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."}}