Laboratory digitization evolves through three main stages, each improving efficiency, accuracy, and compliance. The first stage relies on manual tracking and paper records, which carry high risks of data loss and human error, along with hidden inefficiencies despite low upfront costs. The second stage involves disparate systems, where data is centralized but not fully integrated, reducing some risks but still limiting efficiency and increasing complexity. Progressing through these stages enables organizations to transition toward more streamlined, connected operations, ultimately simplifying compliance, reducing errors, and unlocking greater value from their data and workflows.

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