AI is only as effective as the data and systems supporting it. In specialty pharmacy, that data runs across a long chain of connected work: intake, benefits verification, prior authorization, clinical documentation, dispensing, fulfillment, revenue cycle, inventory, and patient support. Before AI can improve any of those steps, one question must be answered first: is the underlying data consistent enough for AI to act on?
When pharmacy workflows sit in separate systems or rely on manual handoffs, data often becomes fragmented, duplicated, isolated, or, worse, trapped in a free text note. If you point AI to that data, it will make your systems less accurate and reliable.
Before AI can improve specialty pharmacy operations, the data, workflows, and systems beneath it have to be in order. Read More >
