InterSystems TrakCare Assistant: User Workflow Example
Product Demonstration
Are you looking for ways to help optimize user navigation, workflow, and satisfaction in your EMR? Watch this short video to see Dr. Emeline Ramos demo an example of physician workflow using InterSystems TrakCare Assistant.
RAG retrieves knowledge from your documents. MCP gives AI a standardised way to take actions. Learn when to use each, when to use both, and how they work together in production systems.
Data Integration Key to Achieving Needed Breakthroughs in Healthcare When peers from other industries ask why data hasn’t driven comparable breakthroughs in healthcare, the answer is usually hiding in plain sight: clinical and administrative data still live in different systems and “speak” different digital languages. Integrating them is a prerequisite for the next wave of progress—better care, better patient experience, and better operational performance at the same time. Fortunately, there are now multiple mandates spurring this integration, from Centers for Medicare & Medicaid Services requiring Fast Healthcare Interoperability Resources APIs, to National Committee for Quality Assurance embracing digital quality measures, to enforcement of prohibitions against information blocking. Health plans and providers, however, must guard against swapping these two longstanding data siloes for several new ones.
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.
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.
This special report from National Technology News evaluates the key talking points from the event including everything from data readiness and governance to organisational resistance, sustainability concerns, and the future role of humans in increasingly automated workplaces. AI has moved beyond experimentation and into the mainstream. Across industries, organisations are racing to identify use cases, improve productivity, and demonstrate returns on investment. Yet while enthusiasm remains high, many businesses are discovering that turning AI ambition into measurable operational impact is far more challenging than anticipated.
Agentic AI in Healthcare A multi-agent AI system recently diagnosed rare medical cases correctly over 80% of the time. That's four times better than seasoned human clinicians. It didn't get there by being smarter than any single AI. It got there by having multiple agents argue with each other until the errors got caught.