1. 70% of clinical data abstractors reported noticing errors or discrepancies resulting from manual abstraction, with 20% attesting that it occurs "very often."
2. 66% of clinical data abstractors reported feeling neutral, negative or very negative about the manual nature of the work
3. 27% cited the significant time demands as their top challenge
4. 27% stated that their work is prone to human error
5. 40% "sometimes" encounter errors or discrepancies in manual data abstraction, 20% said it occurs "very often," and 10% reported "often"
6. 30% believe manual data abstraction reduces data quality, or significantly reduces quality

Note: Clinical data abstractors are typically nurses and other clinicians who harvest and enter data manually from electronic health records and other systems to populate clinical registries, used for improving quality and care processes.

Source: "New Carta Healthcare Survey Finds Majority of Clinical Data Abstractors Are Eager for Automation," PR Newswire, August 13, 2024.

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