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.
GenAI initiatives are complex and—in some cases—costly. “As such, the main rationale for pursuing them needs to be business growth, not workforce reductions.”
The authors of the survey report note that AI tools mentioned by respondents run the gamut from automated appointment reminders to dynamic “care gap” messaging.
Some AI decision-support models have a proclivity for recommending aggressive care pathways. And doing so on the basis of patient demographics, not medical necessity.
In exclusive interviews, HealthExec spoke with the American Cancer Society about rising cancer rates, and a virtual provider service that's working to bolster struggling oncology staff.
A data analysis from the Physicians Advocacy Institute and Avalere Health found corporate buyouts are leaving patients in low-population areas with fewer options, as doctors are opting to go elsewhere.
All around the world, people are increasingly wise to the advance of AI. More than a few are growing ever more uneasy about it. And yet workers equipped with AI are both more productive and better at their jobs.
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.