Analytics
Its new DSaaS collaboration with AWS promises help with scalable analytics, helping healthcare organizations gain ground with pop health projects by offering insights into social determinants of health.
The power of Intelligent Search, says Sinequa VP Jeff Evernham, is its capability to analyze unstructured content and documents as well as structured information for faster, smarter decision-making.
The health system is, for example, reducing acute utilization and ER utilization for both chronic kidney disease and end-stage renal disease populations.
A bold vision for data-driven Latin American health, illustrated by a Peruvian pilot.
Germany will soon be embarking on a national project to assess the digital maturity of its 2,000 hospitals. If it focuses on understanding the impact on clinicians and patients, it can catch up with the world’s digital health leaders, says Armin Scheuer, VP international business development, HIMSS.
Prescriptive analytics can help providers lower their risk in value-based contracts, says Gray Matter Analytics CEO Sheila Talton.
Machine Learning
The massive amount of data available in healthcare makes it a prime area for artificial intelligence and machine learning automation.
Developed by researchers at Boston Children’s Hospital, Harvard, Northeastern, Oxford and other academic organizations, the new dataset offers researchers access to more than 5 million anonymized cases from more than 100 countries.
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Since the Royal National Orthopaedic Hospital (RNOH) invested in an advanced communication ecosystem, improved cooperation between healthcare workers has triggered many related benefits, from flexible workflows to a better patient experience.
Machine Learning
The Wall Street Journal says Big Blue is pondering ways it might off-load the healthcare AI subsidiary, and IBM CEO Arvind Krishna has already signaled a ''maniacal focus" on hybrid cloud development.