Digital Transformation

This evolution of healthcare involves using technology to improve diagnosis, treatments, monitor patients, enhance hospital operations and culture, and bolster consumer-focused care. This includes virtual reality tools, wearable devices, workflow software, health apps and other digital health tools.

artificial intelligence AI in healthcare

Healthcare-specific AI: How to multiply successes and head off accidents

Given the rapid proliferation of AI-equipped medical devices across U.S. healthcare, unintended effects should surprise no one. 

FDA Digital Health Advisory Committee

FDA taking the long view of generative AI in healthcare

The FDA’s fledgling Digital Health Advisory Committee (DHAC) only held its first meeting last week, but it has already committed its thinking to writing. 

patient engagement satisfaction

5 ways to let AI raise patient satisfaction, elevate provider performance

It’s been years since AI proponents started promising big returns on healthcare providers’ investments in the technology. The results have yet to catch up with the pitches. What’s the holdup? 

artificial intelligence AI life sciences biopharma

When life sciences met artificial intelligence

The pace of AI adoption is quickening in the sector, which includes biopharmaceuticals, digital health, clinical diagnostics and medical devices.

AI artificial intelligence in healthcare

AdvaMed itemizes AI imperatives for ‘the entire healthcare ecosystem’

If you work with healthcare AI, you owe it to patients, families and communities to keep certain principles top of mind in everything you do. 

artificial intelligence AI value

6 things high-achieving orgs do to wring real value from AI

What makes an organization an AI leader? Demonstrating success in one of two pursuits. 

AI regulation

A modest proposal to rally AI regulators around a simple game plan

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”

artificial intelligence AI in healthcare

4 points crucial to the nimble regulation of GenAI

With generative AI coming into its own, AI regulators must avoid relying too much on principles of risk management—and not enough on those of uncertainty management.

Around the web

Compensation for heart specialists continues to climb. What does this say about cardiology as a whole? Could private equity's rising influence bring about change? We spoke to MedAxiom CEO Jerry Blackwell, MD, MBA, a veteran cardiologist himself, to learn more.

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”