Methodological study demonstrates natural language processing implementation of end-of-life quality metrics in palliative surgery, highlighting automated methods for tracking care.
: Palliative surgical procedures are often performed for patients with limited survival. Quality measures for processes of care at the end of life are appropriate in palliative surgery, but have not been applied in this patient population. In this paper, the authors propose 4 quality measures for end-of-life care in a palliative surgery, and then demonstrate the utility of natural language processing for implementing these measures.
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Lilley et al. (2017) studied this question.
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