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The main limitations of this data are the potential biases introduced by the self-reported levels of physical activity, and misclassifications due to inaccurate recall.
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An important implication of this increased reliance on social data is the potential of growing strength and influence of the CMO function within the enterprise.
The medically relevant value of this data is the potential to identify the genes underlying disease for the purpose of developing treatment or even prevention.
A problem related to the lack of data is the potential presence of small disjuncts [3, 35] in the data associated with each Map, also as a consequence of the data division process.
A major criticism from peer reviewers of papers using EMR data is the potential for inaccuracies in diagnosis.
Complicating the interpretation of opsin expression and MSP data is the potential for coexpression of two or more visual opsins in a cone cell.
A major benefit of proteomic and genomic data is the potential for developing thousands of novel diagnostic and analytical tests of cells, tissues, and clinical samples.
Of concern in self-reported dietary data is the potential for under-reporting of energy intake [ 59] which would lead to underestimation of toxic exposures.
One concern noted about the data was the potential effect of recall bias in the case control studies, although this was thought to be an unlikely explanation for all of the observed associations.
One of the problems in using routinely collected data is the potential lack of uniformity in the documentation of gestational age and outcomes of interest as well as the possibility of misclassification.
For each application of PROMs data, what are the potential obstacles or unintended consequences of PROMs feedback that may prevent, limit of constrain the intervention improving patient care?
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com