Accepted paper for PACIS’21

PACIS2021

Discovering Healthcare Processes from Natural Language Documents: a case study on COVID-19

Nicolas Mauro de Moreira Bohnenberger, Alessandra Ceolin Schmitt and Lucinéia Heloisa Thom

The discovery of business process information in natural language documents is challenging, as natural language can be ambiguous and unclear at times. This can become even more challenging with information on such processes displayed in different ways throughout their documentation, and spread out between different documents. This issue is very critical in complex process domains, such as healthcare. This work presents an approach to the discovery of healthcare processes from spread out, natural language documentation. A case study on COVID-19 is presented using this approach.

Keywords: Business Process Management, Healthcare Processes, COVID-19

Link for proceedings and presentation

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