The Hidden Cost of Retrospective Clinical Coding
Data abstraction is usually budgeted as a research-study line item. It is really the bill for a decision made years earlier, at the point of care.
CAD CARE INSIGHTS · CLINICAL RESEARCH
Data abstraction is usually budgeted as a research-study line item. It is really the bill for a decision made years earlier, at the point of care.
When clinical data is captured as free text with no coded structure, every downstream study has to pay someone to re-read and re-code it. This cost repeats for every study that ever touches that data.
Coding at the point of capture is a one-time cost shared across every future use of the data — a study, an audit, a regulatory submission, an AI training set.
The organisations that feel this most acutely are the ones running frequent trials or audits on the same population. For them, structured capture pays for itself inside the first two or three studies.
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