Laboratory Informatics: Five Kinds of Data, Three Decisions
Laboratory informatics is not a single product category or platform. It is the management of five kinds of laboratory data: sample identity, experiment reasoning, instrument output, reportable results, and evidence that the work happened. Because different systems own different types of data, most laboratories need two or three capabilities rather than one platform.
The key to evaluating laboratory informatics is understanding where data currently lives, what must be reconstructable, and where gaps exist between systems. This guide explains what each type of data requires, how to identify ownership and evidence gaps, how to cost current processes using existing records, and how audit trails affect ongoing review obligations. Three practical questions then help define requirements and create a meaningful product shortlist.
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