  In this work, we present a novel technique to improve the quality of draft
clinical notes for physicians. This technique is concentrated on the ability to
model implicit physician conversation styles and note preferences. We also
introduce a novel technique for the enrollment of new physicians when a limited
number of clinical notes paired with conversations are available for that
physician, without the need to re-train a model to support them. We show that
our technique outperforms the baseline model by improving the ROUGE-2 score of
the History of Present Illness section by 13.8%, the Physical Examination
section by 88.6%, and the Assessment & Plan section by 50.8%.
