Providers utilize business intelligence to monitor referral patterns and collaborate with clinicians who order their services. Such analytics tools have also been deployed in the specialty to improve productivity, track patient satisfaction and bolster quality.
More than two-thirds of U.S. physicians have changed their minds about generative AI over the past year. In doing so, the re-thinkers have raised their level of trust in the technology to help improve healthcare.
Key collaborators across the healthcare AI life cycle now have a common set of principles to which they can hold each other. And that means everyone from developers and researchers to providers, regulators and even patients.
With a bit fewer than 7 million residents, Massachusetts ranks a middling 16th in population among the states. However, when it comes to internet searches for terms associated with emerging technologies per 100,000 residents, the Bay State is No. 1.
It was only last fall that Open AI’s ChatGPT thrust generative AI into the public psyche. Since then, many future-looking surveys have shown unease and trepidation competing hard for mindshare against hope and excitement.
U.S. health systems are increasingly leveraging digital health to conduct their operations, but how health systems are using digital health in their strategies can vary widely.
When human counselors are unavailable to provide work-based wellness coaching, robots can substitute—as long as the workers are comfortable with emerging technologies and the machines aren’t overly humanlike.
A vendor that supplies EHR software to public health agencies is partnering with a health-tech startup in the cloud-communications space to equip state and local governments for managing their response to the COVID-19 crisis.