loading
Documents

Research.Publish.Connect.

Paper

Authors: João Almeida 1 ; João Silva 2 ; Alejandro Sierra 3 ; Sergio Matos 2 and José Oliveira 2

Affiliations: 1 DETI/IEETA, University of Aveiro, Aveiro, Portugal, Department of Information and Communications Technologies, University of A Coruña, A Coruña, Spain ; 2 DETI/IEETA, University of Aveiro, Aveiro, Portugal ; 3 Department of Information and Communications Technologies, University of A Coruña, A Coruña, Spain

ISBN: 978-989-758-398-8

ISSN: 2184-4305

Keyword(s): EHR, CDSS, NLP, Clinical Notes, Clinical Decision-making, Treatment Guidance.

Abstract: Hospitalised patients suffering from secondary illnesses that require daily medication typically need personalised treatment. Although clinical guidelines were designed considering those circumstances, existing decision-support features fail in assimilating detailed relevant patient information, which opens up opportunities for systems capable of performing a real-time evaluation of such data against existing knowledge and providing recommendations during clinical treatments. In this paper, we present a proposal for a new feature to integrate with electronic health record (EHR) systems that enriches the health treatment process by automatically extracting information from patient medical notes and aggregating it in clinical protocols. Our goal is to leverage the historical component of the patient trajectory to improve clinical decision support systems performance.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.204.187.106

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Almeida, J.; Silva, J.; Sierra, A.; Matos, S. and Oliveira, J. (2020). Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes.In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF, ISBN 978-989-758-398-8, ISSN 2184-4305, pages 254-262. DOI: 10.5220/0009166902540262

@conference{healthinf20,
author={João Rafael Rafael Almeida. and João Figueira Figueira Silva. and Alejandro Pazos Sierra. and Sergio Matos. and José Luís Luís Oliveira.},
title={Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF,},
year={2020},
pages={254-262},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009166902540262},
isbn={978-989-758-398-8},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF,
TI - Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes
SN - 978-989-758-398-8
AU - Almeida, J.
AU - Silva, J.
AU - Sierra, A.
AU - Matos, S.
AU - Oliveira, J.
PY - 2020
SP - 254
EP - 262
DO - 10.5220/0009166902540262

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.