AI & ML Intelligence

AltaMed's medical director of clinical informatics shows how the organization first researched the technology, piloted systems, picked a vendor, wrote a responsible use agreement and launched an AI scribe that has saved providers valuable time.

Two executives from the St. Louis community health center discuss results of a generative AI pilot designed to enhance interpretation services – extending the reach of multilanguage accessibility to its six FQHCs with large immigrant populations.

The protocol offers a standardized framework that defines how AI systems securely connect with trusted, validated knowledge sources, tools and workflow. Think "FHIR for AI." An expert from First Databank explains.

Edward Marx, a longtime CIO and expert in IT strategy, discusses his ideas for a new way patients can interact with AI-enabled physicians – one that offers big potential, but could pose a threat to hospitals' existing care models.

An executive who in his career has had oversight of nearly 70% of America's healthcare data explains the concept, and why it's needed for artificial intelligence to succeed in the industry.

We spoke with a nurse expert on artificial intelligence who advises hospitals and health systems about potential hazards when working with AI vendors. She described the questions to ask those vendors, to assess whether they really understand healthcare.

Karthik Raja, chief analytics and AI officer at the sprawling 16-state health system, says artificial intelligence is "not one thing. It is a class of problems." Finding and applying the right methodology to solving them is key, he says.

A QHIN and interoperability pro explains what clean, standardized and interoperable data enables with AI. He also details good governance and standardized frameworks for what constitutes clean data.

The health system achieved 100% adoption of an AI platform that consolidates multiple sources of clinical information into one easy-to-access mobile app. Clinician satisfaction with data access increased from 22% to 84%.

The report should be a reality check, says Dr. Tim O'Connell, CEO of NLP company emtelligent. He digs into the new study, discusses genAI hurdles (and ways to jump them) and highlights the gap between real back office gains and "visibility spending."