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.
AI could appreciably improve the delivery of healthcare services to patients—if only people trusted it. For many, the difference-maker would be nicely crafted federal regulations.
From boutique clinics in Mexico to medical spas in Europe to top-tier academic medical centers in the U.S., healthcare organizations courting medical tourists are enjoying boom times.
The Department of Health and Human Services is looking to replace lab animals with AI models. Even more bullish on AI is the new boss at the Centers for Medicare and Medicaid Services.
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.”
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.
Many if not most hospitals and other provider organizations take a decided interest in what their peer institutions are doing with AI. A major motivator for the keen curiosity is gauging how well one is keeping up with the Joneses. So to speak.
