The application of Artificial Intelligence (AI) and Machine Learning (ML) to data sets make a substantial impact on the speed in which we analyze data and act upon it. When we combine emerging workloads in healthcare institutions with the power of AI, ML, and modernized infrastructure technology, healthcare organizations can help revolutionize patient care and data storage.
EHRs have become the standard for storing patient health data & increasing the quantity of data that physicians have on their patients. This portfolio of patient data encompasses a large portion, if not their entire medical history, and enables physicians to make educated diagnoses and deliver customized treatment plans.
With accelerating growth in diagnostic information, health IT departments are required to provide increasingly robust infrastructure to digitize and store tissue sample slides. Converting these slides into digital files enables pathologists to store, analyze and share data in real time – improving collaboration and accelerating clinical decision-making.
Genomic data applications for research, drug development, and precision medicine are expanding. Next-generation sequencing creates massive amounts of data that must be efficiently analyzed and stored. Thus, storage solutions now need to be more adept at managing the full lifecycle of genomic data.
*Based on Dell Technologies internal customer data over a 5 year period, December 2019. Legal Ad # G19000469.
**Source: Definitive Health Analysis – January 2020.
TGen is turning the tide against rare disease with Dell Technologies Solutions.
Revolutionizing the industry through digitization, automation and artificial intelligence with Isilon.
