  In this paper we present a novel approach to abstractive summarization of
patient hospitalisation histories. We applied an encoder-decoder framework with
Longformer neural network as an encoder and BERT as a decoder. Our experiments
show improved quality on some summarization tasks compared with
pointer-generator networks. We also conducted a study with experienced
physicians evaluating the results of our model in comparison with PGN baseline
and human-generated abstracts, which showed the effectiveness of our model.
