{"id":"W3125867257","doi":"10.2196/25183","title":"Driving Digital Transformation During a Pandemic: Case Study of Virtual Collaboration in a German Hospital","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital transformation; Pandemic; German; Health care; Work (physics); Public relations; Exploratory research; Digital health; Meaning (existential); Telemedicine; Coronavirus disease 2019 (COVID-19); Business; Knowledge management; Medicine; Nursing; Medical emergency; Psychology; Political science; Computer science; Sociology; Engineering; Disease","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":[0.006534568,0.0008862151,0.000488663,0.001496627,0.01568943,0.004624096,0.002374836,0.004890037,0.002936451],"category_scores_gemma":[0.01322862,0.0005607735,0.000698704,0.001428978,0.007820516,0.003788334,0.007636221,0.00386119,0.0005256151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00641289,"about_ca_system_score_gemma":0.00463313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009413448,"about_ca_topic_score_gemma":0.01797852,"domain_scores_codex":[0.9872119,0.009798768,0.000295277,0.0005936874,0.0006112245,0.001489133],"domain_scores_gemma":[0.9850411,0.008397922,0.00137868,0.0006530732,0.0007238829,0.003805259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002118553,0.001235299,0.02888387,0.0004302331,0.00005666621,0.07247059,0.8629811,0.001578781,0.001358492,0.007181006,0.005043224,0.01856896],"study_design_scores_gemma":[0.00005171969,0.0004371962,0.007811713,0.0002478729,0.00002656473,0.009836188,0.9523256,0.001449697,0.0008504298,0.001745187,0.02515012,0.0000675859],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859346,0.0004437414,0.001911185,0.004965364,0.00008537663,0.0001840823,0.00006414312,0.00002516998,0.006386348],"genre_scores_gemma":[0.995334,0.0004074959,0.001711744,0.001084544,0.00004256285,0.00006869654,0.00003372423,0.00001653627,0.001300641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01568943,"threshold_uncertainty_score":0.046529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649704298110391,"score_gpt":0.3717594696805115,"score_spread":0.3552624266994076,"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."}}