Biases in electronic health record data due to processes within the healthcare system: retrospective observational study
Denis Agniel; Isaac S. Kohane; Griffin M. Weber · 2018 · BMJ
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
OBJECTIVE: To evaluate on a large scale, across 272 common types of laboratory tests, the impact of healthcare processes on the predictive value of electronic health record (EHR) data. DESIGN: Retrospective observational study. SETTING:…
Excerpt shown for reference under fair use — read the full paper at the publisher.
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Metadata source: OpenAlex · DOI 10.1136/bmj.k1479