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

João Almeida, João Silva, Alejandro Sierra, Sergio Matos, José Oliveira

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 - Volume 5: HEALTHINF, ISBN 978-989-758-398-8, pages 254-262. DOI: 10.5220/0009166902540262

in Bibtex Style

@conference{healthinf20,
author={João Almeida and João Silva and Alejandro Sierra and Sergio Matos and José 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,},
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 - 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