Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes

João Rafael Rafael Almeida, João Rafael Rafael Almeida, João Figueira Figueira Silva, Alejandro Pazos Sierra, Sergio Matos, José Luís Luís Oliveira

2020

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.

Paper Citation

in Harvard Style

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 (BIOSTEC 2020) - Volume 5: HEALTHINF; ISBN 978-989-758-398-8, SciTePress, pages 254-262. DOI: 10.5220/0009166902540262

in Bibtex Style

@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 (BIOSTEC 2020) - Volume 5: HEALTHINF},
year={2020},
pages={254-262},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009166902540262},
isbn={978-989-758-398-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 5: 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
PB - SciTePress