Every day, millions of healthcare decisions stall not because information is missing, but because it is buried. A claim sits in a queue, coded in a language patients were never taught. A prior authorization request loops between a provider’s office and a payer’s system, each side waiting on documentation the other thinks has already been sent. A quality measure tells an administrator that performance improved, but not why, or for whom, or what to do next. Healthcare runs on data. The problem is that very little of that data was designed to be understood by the people who need it most.

That gap-between information that exists and information that is usable-is where Aayush Sisodia has built his career.