Final answer:
Auditing random samples of EHR documentation is the most effective strategy to avoid selection bias and assess copy function usage, as it ensures all data have an equal chance of selection, providing more reliable results.
Step-by-step explanation:
The EHR audit log (or event log) refers to a particular subset of data that tracks who is logged in to the EHR, what tasks or events they perform, and when (via timestamps). Auditing random samples of EHR (Electronic Health Records) documentation would be the best approach for avoiding selection bias and in determining how the copy function is being used.
Selection bias can occur when the sample of EHRs audited is not representative of the entire population because the selection was made in a non-random manner. Using a random sampling technique ensures that every part of the dataset has an equal chance of being included in the sample, which can provide more reliable and generalization results about the usage of the copy function.
Furthermore, some other steps that might be taken to avoid bias include defining clear criteria for what constitutes inappropriate use of the copy function beforehand and ensuring that the criteria are applied consistently across all records audited. Transparent reporting of the audit methodologies and findings can also contribute to minimizing bias.