HIT Consultant
MARCH 15, 2023
If providers could easily and securely access dynamic and actionable behavioral health data, they could develop more effective treatment plans based on a patient’s complete history. Then, artificial intelligence and machine learning can take it to the next level by detecting meaningful patterns and insights in this data.
GoMoHealth
JANUARY 12, 2024
AI is emerging as the linchpin of healthcare innovation, streamlining processes and elevating diagnostic capabilities. Why is there so much emphasis on AI-powered insights in 2024? that doesn’t include AI.
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Healthcare It News
FEBRUARY 14, 2023
" It does not only allow IT and developer teams to focus on upcycling data but also helps organisations "overcome staffing shortages, improve transitions between in-patient and out-patient care, and advance preventative care and precision medicine," she added.
HIT Consultant
JUNE 9, 2022
Healthcare tech companies can finally more easily share data with others in the healthcare ecosystem and create tools that are interoperable with healthcare systems. Grealy alludes to the data flow barriers that still exist today even while some important federal interoperability standards have been passed.
Cloud Blogs
MAY 18, 2021
While researchers work to unlock lifesaving discoveries and develop new approaches to urgent health issues, advancements in technology can help accelerate and scale new solutions. The fragmentation of health data" , Travis May, Medium, July 31, 2018.
Health Blawg
APRIL 17, 2018
One argument in favor of AI is that AI is more consistent than humans – and that consistency can be tuned by humans so that alerts and information coming from the automation tools to the clinicians does not result in non-meaningful data overload. There is some data there, just not accessible to the patient.”.
Health Blawg
APRIL 17, 2018
One argument in favor of AI is that AI is more consistent than humans – and that consistency can be tuned by humans so that alerts and information coming from the automation tools to the clinicians does not result in non-meaningful data overload. There is some data there, just not accessible to the patient.”.
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