{"id":"W4415753393","doi":"10.2196/80301","title":"International Case Studies to Identify Success Factors and Contextual Conditions in the Digital Transformation of Health Care Systems and Derive Lessons for Germany: Study Protocol for a Mixed Methods Study","year":2025,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Health care; Protocol (science); German; Digital health; Qualitative research; Best practice; Success factors; Health informatics","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":[0.05139512,0.002294743,0.001794696,0.005330051,0.005583164,0.00368974,0.003546104,0.004433666,0.03028579],"category_scores_gemma":[0.03793814,0.001988775,0.002636423,0.005505826,0.003448571,0.003916265,0.004678053,0.00325159,0.005427069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01089292,"about_ca_system_score_gemma":0.02406466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004702796,"about_ca_topic_score_gemma":0.01105474,"domain_scores_codex":[0.9781742,0.01426333,0.002648504,0.001614829,0.001477438,0.001821652],"domain_scores_gemma":[0.9707737,0.01321062,0.003205986,0.003615569,0.007506813,0.001687344],"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":[0.01355279,0.01780612,0.01712024,0.05568626,0.0005432507,0.01037364,0.2197785,0.008527028,0.01331605,0.1025555,0.1148395,0.4259011],"study_design_scores_gemma":[0.0114596,0.009074663,0.02598666,0.03797439,0.0006931072,0.001381878,0.2125591,0.003746309,0.01271198,0.02625521,0.6575869,0.0005702454],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01782927,0.0006550877,0.01661426,0.0008724263,0.0001695726,0.9558722,0.002799862,0.00005378237,0.005133585],"genre_scores_gemma":[0.00756872,0.0005954253,0.01715329,0.0003267318,0.0000211174,0.9731354,0.0004326351,0.000007226807,0.0007593685],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05139512,"threshold_uncertainty_score":0.2718066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8315378780742484,"score_gpt":0.8373114512831556,"score_spread":0.005773573208907257,"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."}}