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Leveraging Clinical Notes for Enhancing Decision-Making Systems with Relevant Patient Information

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Biomedical Engineering Systems and Technologies (BIOSTEC 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1400))

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Abstract

Personalised treatment is usually needed for hospitalised patients afflicted by secondary illnesses that demand daily medication. Even though clinical guidelines were designed to consider those circumstances exist, current decision-support features fail to assimilate detailed relevant patient information. This creates opportunities for the development of systems capable of performing a real-time evaluation of such data against existing knowledge and providing recommendations during clinical treatments. Herein, we describe a proposal for a new feature to be integrated with electronic health record (EHR) systems which can enrich the health treatment process through the automatic extraction of information from patient medical notes and the aggregation of this novel information in clinical protocols. The purpose of this work is to exploit the historical component of the patient trajectory to improve the performance of clinical decision support systems.

J. F. Silva—Contributed equally with the first author to this work.

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Acknowledgements

This work has received support from the EU/EFPIA Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 806968 and from the NETDIAMOND project (POCI-01-0145-FEDER-016385), co-funded by Centro 2020 program, Portugal 2020, European Union. João Figueira Silva and João Rafael Almeida are funded by the FCT - Foundation for Science and Technology (national funds) under the grants PD/BD/142878/2018 and SFRH/BD/147837/2019 respectively.

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Authors and Affiliations

  1. DETI/IEETA, University of Aveiro, Aveiro, Portugal

    João Rafael Almeida, João Figueira Silva, Sergio Matos & José Luís Oliveira

  2. Department of Information and Communications Technologies, University of A Coruña, A Coruña, Spain

    João Rafael Almeida & Alejandro Pazos Sierra

Authors
  1. João Rafael Almeida
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  2. João Figueira Silva
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  3. Alejandro Pazos Sierra
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  4. Sergio Matos
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  5. José Luís Oliveira
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Corresponding author

Correspondence to João Rafael Almeida .

Editor information

Editors and Affiliations

  1. Zhejiang University, Hangzhou, China

    Xuesong Ye

  2. Fraunhofer Portugal Research Center for Assistive Information and Communication Solutions, Porto, Portugal

    Filipe Soares

  3. Nice Sophia Antipolis University, Nice Cedex 2, France

    Elisabetta De Maria

  4. Universidad Politécnica de Madrid, Madrid, Spain

    Pedro Gómez Vilda

  5. University of Milano-Bicocca, Milan, Italy

    Federico Cabitza

  6. Instituto de Telecomunicações, University of Lisbon, Lisbon, Portugal

    Ana Fred

  7. Universidade Nova de Lisboa, Caparica, Portugal

    Hugo Gamboa

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Almeida, J.R., Silva, J.F., Sierra, A.P., Matos, S., Oliveira, J.L. (2021). Leveraging Clinical Notes for Enhancing Decision-Making Systems with Relevant Patient Information. In: Ye, X., et al. Biomedical Engineering Systems and Technologies. BIOSTEC 2020. Communications in Computer and Information Science, vol 1400. Springer, Cham. https://doi.org/10.1007/978-3-030-72379-8_26

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  • DOI: https://doi.org/10.1007/978-3-030-72379-8_26

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  • Print ISBN: 978-3-030-72378-1

  • Online ISBN: 978-3-030-72379-8

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