r/HealthTech • u/Rajxai • 1d ago
AI in Healthcare Finding the right data is one thing. Knowing how it connects to other data is a different problem.
Take a healthcare example.
A patient's medical record, lab results, diagnosis and insurance claim might all sit in different systems.
An AI system might be able to find all these records. But does it know which lab result belongs to which visit? Does it know if the diagnosis is related to the current claim? Does it know whether that information is still relevant?
This is where I think semantic data becomes important.
It's about helping systems understand what a piece of data means and how it relates to everything around it.
We've spent years making enterprise data easier to store and search. I think the next big challenge is making it easier for AI to understand.
For people working with RAG, knowledge graphs or semantic layers, how are you solving this? Do you define these relationships beforehand, let the AI figure them out, or use a mix of both?
Would be good to hear what's actually working in production.