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In December 2019, he was named the president of the Mayo Clinic Platform, to commence January 1, 2020. The platform is a coordinated portfolio approach to create new platform ventures to take advantage of emerging technologies such as artificial intelligence, connected healthcare devices, and natural language processing. [11]
Based in the Mayo Clinic's main facility in Rochester, MN, [1] the CFI has more than 50 full-time staff including service designers, project managers, information technology specialists, and clinicians working together to develop health care delivery solutions for Mayo's Clinic's 64,000 employees and half a million patients annually in ...
The Mayo Clinic, a nonprofit medical center based in Rochester, Minnesota, on Monday said it will partner with Silicon Valley startup Cerebras Systems to develop artificial intelligence (AI ...
cTAKES ("clinical Text Analysis Knowledge Extraction Software") is a natural language processing system for extracting information from electronic medical record clinical free-text, an Apache top level project (TLP) since 2013, developed by the Mayo Clinic and others.
Microsoft Amalga Unified Intelligence System (formerly known as Azyxxi) was a unified health enterprise platform designed to retrieve and display patient information from many sources, including scanned documents, electrocardiograms, X-rays, MRI scans and other medical imaging procedures, lab results, dictated reports of surgery, as well as patient demographics and contact information.
At the January 2025 J.P. Morgan Healthcare Conference, Cerebras and Mayo Clinic announced a new genomic foundation model aimed at harnessing the power of advanced AI and HPC to transform genomics, a field rapidly becoming central to personalized healthcare. The new genomic foundation model is designed to improve diagnostics and personalize ...
The company's healthcare software is centered on its Chronicles database management system. Epic's applications support functions related to patient care, including registration and scheduling; clinical systems for doctors, nurses, emergency personnel, and other care providers; systems for lab technologists, pharmacists, and radiologists; and ...
The DHIS2 data model and platform are generic by design, not specifically tailored to the health context, to facilitate the application of DHIS2 to a variety of use cases. DHIS2 is a web-based platform. The core software and database are hosted on a server, which can be either physically located in the country of ownership or cloud-based.