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.
Around the world, 3 of 4 workers who routinely handle information are now using generative AI on the job. And almost half of them are new to the technology, having begun using it only over the past half-year.
Four of five hospital leaders trust the accuracy of their institution’s data. Yet almost half of useable data gets underutilized if not completely untapped for guiding business and clinical decisions.
Hospital employment models, reimbursement policies and private equity have all led to a massive reduction in the number of cardiologists working for a private practice, ACC President Cathie Biga, MSN, told Cardiovascular Business.