AI & Data Analytics

A new AMA survey finds enthusiasm for using artificial intelligence to reduce administrative burdens. As a tool for patient care, physicians express enthusiasm and some worries.

Most are more concerned with getting more out of their electronic health records and improving communications with patients, an MGMA survey found.

Among other steps, the Department of Health and Human Services will develop a safety program to address unsafe healthcare practices involving artificial intelligence.

Researchers found large language models provided answers reflecting ‘racist tropes’ or inaccurate information. They stress caution in using AI tools for research and for medical decisions.

Several healthcare executives shared their perspectives from the annual conference in Las Vegas.

Many hospital systems rely on outdated data archives. Discrete data sets are preferable because they’re detailed, measurable, and reportable.

Christine Swisher of Project Ronin talks about the work to give doctors more data and insights to improve cancer care.

Industry analysts talk about some of the potential dangers in the not-too-distant future.

Experts warn about the growing dangers of criminals using AI and deepfakes to target hospitals and healthcare organizations.

About 100 clinicians are engaged in a pilot program aimed at improving response time for patients, and saving some time for doctors.

The tech giant touts the potential to reduce administrative burdens on doctors.

The company is working with the hospital system to help physicians have an easier time with documenting patient encounters. The firm’s CEO sees potential beyond documentation.

The hospital system and tech giant say they are partnering on programs to reduce some administrative hassles for doctors and nurses in producing patient records.

Researchers found that the answers generally matched responses from ophthalmologists in terms of accuracy. They stress that more study is needed.

In a spirited conversation, he talks about the ways health systems, hospitals and leaders can find greater efficiencies and profitability.

Leaders, innovators, and clinicians must work together to develop key principles guiding the adoption of AI in a way that strengthens the healthcare system and supports patients.

The companies said this week that the DAX Express solution is going to be available to the Epic community.

Researchers examined how ChatGPT responds to public health questions.

The AI-powered technology is making life easier for patients’ families and reducing headaches for a health system serving young patients with complex needs.

The time is now for providers to try new technologies that in the past have been solved by adding more people to the problem. The dilemma now is that we don’t have more people.

Many leading health systems have turned to artificial intelligence (AI) and automation technology to schedule surgeries more effectively.

Artificial intelligence dominated the health technology conference, but it wasn’t the only fascinating topic of discussion.

He talks about how machine learning improved patient care and the hospital's financial performance, and offers a few tips for health systems.

David Higginson, the chief innovation officer, explains how machine learning is detecting children with malnutrition and helping the health system financially.

As millions of Americans are discovering artificial intelligence, healthcare leaders say AI could save countless lives. But there are difficult ethical questions that need to be confronted.