Marcel Parciak, Markus Suhr, Christian Schmidt, Caroline Bönisch, Benjamin Löhnhardt, Dorothea Kesztyüs, Tibor Kesztyüs
FAIRness through automation: development of an automated medical data integration infrastructure for FAIR health data in a maximum care university hospital
BMC medical informatics and decision making
pointofcare ultrasound pocus acquisition interpretation ultrasound imaging bedside solve specific clinical questions based signs symptoms presentation several studies evaluated pocus diagnostic accuracy variety clinical pictures emergency department ed data available pocus diagnostic accuracy performed physicians different pocus skills objective research evaluate diagnostic accuracy pocus compared standard diagnostic imaging ed retrospective study conducted ed thirdlevel university hospital patients underwent cardiac thoracic abdominal venous lower limb pocus standard imaging examination june 2021 january 2022 included 1047 patients screened 844 patients included total 933 pocus included 102 1209 cardiac 466 5521 thoracic 336 398 abdominal 29 344 lower limb venous pocus accounting 2029 examinations pocus demonstrated 966 95 ci 95729734 accuracy 4773 95 ci 33646772 lr 009 95 ci 006012 lr lr greater 10 investigations hydronephrosis 58 lr never exceeded 04 pocus exhibited high diagnostic accuracy virtually conditions performed emergency department physicians