A New Opportunity to Reduce Resident Burnout: Young Doctors Are AI Natives
Residents embrace AI for everything from clinical decisions to emotional support. Health systems need to meet them where they are.
Residents embrace AI for everything from clinical decisions to emotional support. Health systems need to meet them where they are.
Our biggest healthcare problems aren’t only cost or access, but the breakdown in how diagnoses are made, especially for women. Digital health’s new era of AI and real-time data is the most promising solution I’ve seen to fix this, but for these tools to work for women, they must be built on data that actually includes them.
Artera President Tom McIntyre talks about the practical application of AI in healthcare.
Typically, rural hospitals operate as “islands,” where a patient might receive an initial scan at a community health facility, see a specialist at a regional medical center, and return home for follow-up care. In this scenario, it’s common for their medical images to become trapped in three different systems.
The systems getting value from AI aren’t doing more, they’re choosing better. Instead of chasing ten initiatives, they align around the few levers that actually move the enterprise.
Beyond simply recording or transcribing messages to lower call volumes, truly autonomous voice AI puts patients in the driver’s seat of their own healthcare. It processes patient requests and information immediately and integrates actionable insights into the EHR, speeding next steps for clinicians and patients.
MedCity News was at the Vive conference and spoke with executives who shared their insights for the healthcare industry.
If CMS and private payers are serious about whole-person health, reimbursement structures must align with the workforce actually delivering that care. Payment pathways should recognize the value of the broader care team and enable the seamless integration of their expertise with the objective data generated through connected devices and programs like RPM.
By strengthening the connection between dentists and physicians, we can enable real-time care coordination, ensure patients get follow-up when needed and help teams spot risk factors earlier.
As legal and compliance professionals, we champion privacy and cybersecurity in our organizations — but success requires a team effort.
The introduction of consumer-facing health AI should be understood less as a clinical breakthrough and more as a cultural one. Patients now expect their health information to be as accessible and navigable as their banking or travel data. That expectation will reshape how health systems design digital experiences and how vendors think about patient engagement.
We need an agentic layer capable of fetching a longitudinal medical record and translating that static clinical intent into a daily, living context.
If ambient AI evolves the way the EHR did, but without repeating its mistakes, the next 5 to 10 years could transform healthcare. Documentation will become background noise instead of the center of gravity in patient care.
GuardDog Telehealth admitted it misrepresented its services to access patients’ health information, marking the first major concession in Epic’s lawsuit against Health Gorilla and other defendants accused of exploiting interoperability networks. The broader case is still ongoing.
Cardiology, in particular, offers a clear view into why so many AI solutions struggle to scale and what differentiates those that are poised for adoption.
Epic has unveiled its new “agent factory,” a platform that lets health systems build AI agents that are capable of orchestrating entire workflows across the EHR.