Asma Alshuhail, Arastu Thakur, R Chandramma, T R Mahesh, Ahlam Almusharraf, V Vinoth Kumar, Surbhi Bhatia Khan
Refining neural network algorithms for accurate brain tumor classification in MRI imagery
BMC medical imaging
existing health informatics curriculum requirements mostly use competencybased approach rather skillbased one main objective study assess current skills training requirements graduate health informatics curricula evaluate graduate students confidence specific health informatics skills quantitative crosssectional observational study developed evaluate published health informatics curriculum requirements determine comprehensive health informatics skill sets required research university new york united states addition questionnaire assess students confidence specific health informatics skills developed sent enrolled graduated master science students health informatics program evaluation performed graduate health informatics program analysis students selfassessments questionnaire showed 794 81102 participants confident confident slightly confident developing artificial intelligence app 588 60102 confident designing developing databases 549 56102 confident evaluating privacy security infrastructure less onethird students 24105 235 confident extremely confident confident could evaluate use data capture technologies develop mobile health informatics apps 10102 98 health informatics programs consider specialized tracks include specific skills meet complex health care delivery market demand specific training components defined different specialties need determine new competencies skill sets promote inductive deductive reasoning diverse various data platforms develop comprehensive curriculum framework health informatics skills training