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AI & ML Intelligence
The health system's chief analytics officer discusses creating a rigorous data quality program for reliable and actionable insights, and the importance of developing an innovation ecosystem.
Also, Canberra Antenatal Care has digitised its patient pathway for expectant parents.
Nursing and IT
Trained on vast datasets, machine learning applications can spot trends and predict patient outcomes. A researcher details how these new approaches are giving nurses the evidence they need to make more informed decisions and deliver higher-quality care.
U.S. and international agencies are advising all critical-sector IT leaders to bolster against vendor risks and defend against live-off-the-land techniques stemming from PRC state-sponsored cyber activity.
The tools can help integrate artificial intelligence into existing applications that can be run from the cloud or on-prem – focused on genomics, imaging, drug discovery and other digital health priorities.
HHS surveyed payers for data relating to actions they were taking to help providers resolve issues.
Remote Patient Monitoring
Clinical outcomes have shown 82% of patients experienced lowered blood pressure via remote patient monitoring at the health system, with severely hypertensive patients seeing a significant decrease after 90 days on the program.
The combined software company, now one of the largest worldwide, will “use data to power and protect the AI revolution,” Cisco says.
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Doing away with traditional manual coding has enabled Mount Alvernia Hospital's IT team to focus more on innovation rather than "reinventing the wheel," shares technology director Bruce Leong.