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.
A new survey shows that, in the generative AI era, two of every three U.S. hospitals let the CIO’s office handle the selection and acquisition of data analytics platforms.
A lot of people from a lot of organizations in a lot of countries are working to coordinate oversight of AI’s risks. A budding project seeks to bring many of these minds together to advance the worthy goal of building global consensus with scientific rigor.
AI and patient care are “top of mind” for healthcare executives in 2024. The pairing seems opportune, since the surveyed leaders see the burgeoning technology as a key tool for improving the perennial mission.
Kaiser Permanente AI exec Daniel Yang, MD: ‘With a focus on building trust, we use AI only when it advances our core mission of delivering high-quality, affordable healthcare services.’
