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5 key learnings about conversational AI for healthcare analytics users

Healthcare payers can apply conversational AI to improve experiences – not just for members and ...

Taking medical coding to the next level with Artificial Intelligence

Early results show that artificial intelligence (AI) can help medical coders find accurate codes for...

Studies reveal how AI-infused clinical decision support may change medicine – for the better

As trust in AI evolves – and adoption increases – the benefits are becoming tangible

Humana and IBM Watson Health to simplify member experience for Humana Employer Group customers

IBM and Humana are collaborating to leverage conversational AI to improve the member experience and ...

A smarter fight against fraud

This article defines the issue with fraud, waste & abuse, and highlights one of the key algorithms that workers use to decrease wasted funding in government health spending.

The responsible, ethical use of real-world data

In the race to understand COVID-19, we see discovery occurring at an accelerated pace with the need – not only for evidence from clinical trials – but also for insights from real-world, near real-time care of many patients across many settings. ...

6 things that could help advance AI adoption in radiology

Artificial Intelligence (AI) is at an inflection point, and radiology will need to address six critical components to move into the mainstream.

The case for human-centered contact tracing

Technology will play an important role in using contact tracing to help organizations respond to the pandemic. But we believe the best contact tracers are still humans—digitally assisted humans.

How radiologists can navigate the pandemic

Radiologists must face tough financial challenges, adapt to new ways of working, and advance the field with technology to prepare for the future. Learn more from a conversation with the president of the American College of Radiology.

Integrating AI-powered clinical decision support into the EHR can help increase adoption and efficiency

Clinical decision support tools offer clinicians the ability to enhance the quality of care given to...

Eliminating bias in health data science

It’s time for a renewed commitment to fairness, transparency and equity in data, big data and the algorithms for statistical or artificial intelligence (AI) models

Q&A: Interoperability and COVID-19, Part 2

Dr. Anil Jain describes how the pandemic’s disruption may affect the trajectory of sharing health information and considerations for those healthcare providers looking to invest.