Phoenix Children’s Integrates EHR With a Data Warehouse and AI
Working for 17 years with Phoenix Children’s, Vaidya has witnessed the evolution of the EHR within the large, Arizona-based pediatric organization, starting from a general…
HEALTHTECH: When it comes to deploying new technologies or adopting new processes, what’s your advice on getting user buy-in? How can you improve communication and expectations between the clinical and IT sides of a…
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What Is Agentic AI?
Like other forms of artificial intelligence, agentic AI is only as accurate as the data that fuels it. It relies on “a digital ecosystem of large language models (LLMs), machine learning…
As more portable devices come with features powered by artificial intelligence (AI) built in, Apple continues to refine its offerings with the MacBook Air.
The 15-inch model is half an inch thick when closed and…
What Is Upskilling in Healthcare IT?
Upskilling refers to the development of new skills to support an employee’s current role. It can take many forms, from online or in-person coursework to peer coaching and stretch…
Priscilla Sandberg, senior healthcare manager at Pure Storage, says healthcare organizations today face a set of intertwined challenges: ensuring quick access to clinical data, maintaining system resilience and preventing downtime, and managing rising operational…
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How Healthcare Organizations Can Plan for a Successful SAML DeploymentA successful SAML deployment requires careful planning, selecting the right IDPs and SPs so that there is seamless interoperability between systems.
According to Trevor Thompson, principal…
AI governance can also be viewed as an extension of data governance. In the end, AI is composed of data and advanced analytics at its core. AI solutions need the data governance principles and…
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HEALTHTECH: What are some of the AI implementation challenges healthcare organizations face?
POON: What I’ve learned over the years is that when it comes to technology, and AI is no exception, many things that could work…
Valuable Public Health Use Cases for AI
AI can analyze massive, varied data sets — from sources such as electronic health records, demographic data, medical sensors, health journals and even social media — much faster…
