Dr. Emily Ramos speaks with MIT researcher Dr. Angelica Marotta about how artificial intelligence is beginning to transform healthcare delivery—not by replacing clinicians, but by helping them spend less time at the computer and more time with patients. Drawing on research from a hospital AI deployment, the conversation explores how generative AI can reduce documentation burden, improve communication, increase eye contact, and support better clinical workflows while reinforcing the importance of trust, risk management, and keeping humans in the loop. Watch the video to hear practical insights for healthcare leaders, clinicians, and technology teams navigating the next phase of AI adoption.
FHIR is the REST API standard transforming healthcare data exchange. Learn how the VA and FDA use FHIR APIs for automated adverse event reporting, and what it means for your health system.
Overview An eye surgery center was losing patients. Not to competitors, but to no-shows. Eighteen percent of scheduled appointments went unfilled every week. Four full-time staff members spent their days calling roughly 500 patients, trying to confirm appointments. When that didn't work, the clinic overbooked randomly, hoping the math would balance out. Some days every patient showed up and the waiting room was chaos. Other days slots sat empty.
Conversational AI in healthcare is reducing patient portal overload with urgency tagging, AI-assisted responses, and intelligent message routing. Learn what's deployed and what the evidence shows.
RAG retrieves knowledge from your documents. MCP gives AI a standardized way to take actions. Learn when to use each, when to use both, and how they work together in production systems.
Agentic AI architecture assigns specialized AI agents to distinct tasks so the combined result outperforms any single model. Learn core components, patterns, and decision frameworks.
Contact the Worldwide Response Center (WRC) For Immediate Help
