Artificial intelligence is healthcare’s next big thing
Looking ahead, the next wave in our journey towards digital transformation is Artificial Intelligence.
These enhancements offer advanced reasoning, agentic workflows, and model intelligence purpose built for some of the industry’s most demanding real-world use cases.
Looking ahead, the next wave in our journey towards digital transformation is Artificial Intelligence.
Experts at the U.S. News Healthcare of Tomorrow Conference address how cloud will help build an intelligent health care system that highly engages patients.
Today, we are excited to participate in the 4th annual US News Healthcare of Tomorrow conference, bringing together leaders from across the health industry and care continuum to share their digital transformation journeys.
Microsoft shows how its software, cloud services and mobile solutions can help modernize child welfare systems.
Hospital advances epilepsy treatment and engages patients. Read this blog and join me at IoT events to learn more.
Unless you’ve been living under a rock, you’ve come to accept the reality that we're now operating in a consumer-centric, outcome economy.
In June, I highlighted work my colleague Elena Bonfiglioli, Senior Director, Health Industry Europe Middle East and Africa, Public Sector, was leading in the form of a health advisory council call to action for European leaders. Several pillars of that call to action related to updating and clarifying regulatory requirements, which our customers have said delay or impair their ability to deploy modern cloud and mobile based technologies.
Adoption of cloud technology is a must for connected health care to be fully realized.
The shift from a fee-for-service model to value-based care is forcing organizations to rethink care.
Leveraging technology to reduce time on non-clinical tasks to free up more time for patient care.
The REACH initiative aims to help millions of people access safe drinking water by using inexpensive sensors, mobile communications technology, and cloud-based machine learning algorithms.
Not only are computers useful, but also other handheld devices such as smartphones and tablets as they attempt to bridge communication gaps between the patient and healthcare providers.