AssistMED project: Transforming cardiology cohort characterisation from electronic health records through natural language processing - Algorithm design, preliminary results, and field prospects.

Journal: International journal of medical informatics
Published Date:

Abstract

INTRODUCTION: Electronic health records (EHR) are of great value for clinical research. However, EHR consists primarily of unstructured text which must be analysed by a human and coded into a database before data analysis- a time-consuming and costly process limiting research efficiency. Natural language processing (NLP) can facilitate data retrieval from unstructured text. During AssistMED project, we developed a practical, NLP tool that automatically provides comprehensive clinical characteristics of patients from EHR, that is tailored to clinical researchers needs.

Authors

  • Cezary Maciejewski
    1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland; Doctoral School, Medical University of Warsaw, 02-091 Warszawa, Poland; Department of Medical Informatics and Telemedicine, Medical University of Warsaw, 02-091 Warszawa, Poland.
  • Krzysztof Ozierański
    1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland. Electronic address: krzysztof.ozieranski@wum.edu.pl.
  • Adam Barwiołek
    Codifive sp. z o.o., Lindleya 16, 02-013 Warszawa, Poland.
  • Mikołaj Basza
    Medical University of Silesia, Poniatowskiego St. 15, 40-055, Katowice, Poland.
  • Aleksandra Bożym
    1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland.
  • Michalina Ciurla
    1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland.
  • Maciej Janusz Krajsman
    Department of Medical Informatics and Telemedicine, Medical University of Warsaw, 02-091 Warszawa, Poland.
  • Magdalena Maciejewska
    Doctoral School, Medical University of Warsaw, 02-091 Warszawa, Poland.
  • Piotr Lodziński
    1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland.
  • Grzegorz Opolski
    1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland.
  • Marcin Grabowski
    1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland.
  • Andrzej Cacko
    1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland; Department of Medical Informatics and Telemedicine, Medical University of Warsaw, 02-091 Warszawa, Poland.
  • Paweł Balsam
    1st Chair and Department of Cardiology, Medical University of Warsaw, 02-091 Warszawa, Poland.