Exploiting Natural Language Processing for Improving Health Processes

Maurice Van Keulen; Jeroen Geerdink; Gerard C.M. Linssen; Riemer H.J.A. Slart; Onno Vijlbrief

Exploiting Natural Language Processing for Improving Health Processes

Maurice Van Keulen, Jeroen Geerdink, Gerard C.M. Linssen, Riemer H.J.A. Slart, Onno Vijlbrief

Biomedical Photonic Imaging

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

In the medical world, high quality digital registration in an Electronic Patient Dossier (EPD) of symptoms, diagnoses, treatments, test results, images, inter- pretations, and outcomes becomes commonplace. Together with a shortage of medical professionals, means that they experience pressure at the expense of ac- tual ‘hands on the bed’. On the other hand, EPDs contain a wealth of largely un- used, unstructured textual information. Clinicians primarily communicate with each other through letters and reports. Our main question is: Can Natural Lan- guage Processing (NLP) exploit this wealth? By extracting structured data and using it as features for machine learning, a wide variety of process improvements become possible. Furthermore, it may contribute to the desire of government and health stakeholders to simplify registration and relieve pressure. This paper sketches a few prominent process improvements that we plan to research.

Original language	English
Title of host publication	Proceedings of the 7th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017)
Editors	Paolo Ceravolo, Maurice van Keulen, Kilian Stoffel
Publisher	CEUR
Pages	145-146
Publication status	Published - Dec 2017
Event	7th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2017 - Neuchatel, Switzerland Duration: 6 Dec 2017 → 8 Dec 2017 Conference number: 7 http://simpda2017.di.unimi.it/

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR-WS.org
Volume	2016
ISSN (Electronic)	1613-0073

Conference

Conference	7th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2017
Abbreviated title	SIMPDA
Country/Territory	Switzerland
City	Neuchatel
Period	6/12/17 → 8/12/17
Internet address	http://simpda2017.di.unimi.it/

Keywords

Natural language processing
Electronic patient record
Machine learning
Care processes

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VanKeulen2017exploitingFinal published version, 1.21 MB

http://ceur-ws.org/Vol-2016/paper11.pdf

Cite this

Van Keulen, M., Geerdink, J., Linssen, G. C. M., Slart, R. H. J. A., & Vijlbrief, O. (2017). Exploiting Natural Language Processing for Improving Health Processes. In P. Ceravolo, M. van Keulen, & K. Stoffel (Eds.), Proceedings of the 7th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017) (pp. 145-146). (CEUR Workshop Proceedings; Vol. 2016). CEUR. http://ceur-ws.org/Vol-2016/paper11.pdf

@inproceedings{0fd1ecc897594746b52bd0e2a247d205,

title = "Exploiting Natural Language Processing for Improving Health Processes",

abstract = "In the medical world, high quality digital registration in an Electronic Patient Dossier (EPD) of symptoms, diagnoses, treatments, test results, images, inter- pretations, and outcomes becomes commonplace. Together with a shortage of medical professionals, means that they experience pressure at the expense of ac- tual {\textquoteleft}hands on the bed{\textquoteright}. On the other hand, EPDs contain a wealth of largely un- used, unstructured textual information. Clinicians primarily communicate with each other through letters and reports. Our main question is: Can Natural Lan- guage Processing (NLP) exploit this wealth? By extracting structured data and using it as features for machine learning, a wide variety of process improvements become possible. Furthermore, it may contribute to the desire of government and health stakeholders to simplify registration and relieve pressure. This paper sketches a few prominent process improvements that we plan to research.",

keywords = "Natural language processing, Electronic patient record, Machine learning, Care processes",

author = "{Van Keulen}, Maurice and Jeroen Geerdink and Linssen, {Gerard C.M.} and Slart, {Riemer H.J.A.} and Onno Vijlbrief",

year = "2017",

month = dec,

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR",

pages = "145--146",

editor = "Paolo Ceravolo and {van Keulen}, Maurice and Kilian Stoffel",

booktitle = "Proceedings of the 7th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017)",

note = "7th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2017, SIMPDA ; Conference date: 06-12-2017 Through 08-12-2017",

url = "http://simpda2017.di.unimi.it/",

}

Van Keulen, M, Geerdink, J, Linssen, GCM, Slart, RHJA & Vijlbrief, O 2017, Exploiting Natural Language Processing for Improving Health Processes. in P Ceravolo, M van Keulen & K Stoffel (eds), Proceedings of the 7th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017). CEUR Workshop Proceedings, vol. 2016, CEUR, pp. 145-146, 7th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2017, Neuchatel, Switzerland, 6/12/17. <http://ceur-ws.org/Vol-2016/paper11.pdf>

Exploiting Natural Language Processing for Improving Health Processes. / Van Keulen, Maurice; Geerdink, Jeroen; Linssen, Gerard C.M. et al.
Proceedings of the 7th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017). ed. / Paolo Ceravolo; Maurice van Keulen; Kilian Stoffel. CEUR, 2017. p. 145-146 (CEUR Workshop Proceedings; Vol. 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Exploiting Natural Language Processing for Improving Health Processes

AU - Van Keulen, Maurice

AU - Geerdink, Jeroen

AU - Linssen, Gerard C.M.

AU - Slart, Riemer H.J.A.

AU - Vijlbrief, Onno

N1 - Conference code: 7

PY - 2017/12

Y1 - 2017/12

N2 - In the medical world, high quality digital registration in an Electronic Patient Dossier (EPD) of symptoms, diagnoses, treatments, test results, images, inter- pretations, and outcomes becomes commonplace. Together with a shortage of medical professionals, means that they experience pressure at the expense of ac- tual ‘hands on the bed’. On the other hand, EPDs contain a wealth of largely un- used, unstructured textual information. Clinicians primarily communicate with each other through letters and reports. Our main question is: Can Natural Lan- guage Processing (NLP) exploit this wealth? By extracting structured data and using it as features for machine learning, a wide variety of process improvements become possible. Furthermore, it may contribute to the desire of government and health stakeholders to simplify registration and relieve pressure. This paper sketches a few prominent process improvements that we plan to research.

AB - In the medical world, high quality digital registration in an Electronic Patient Dossier (EPD) of symptoms, diagnoses, treatments, test results, images, inter- pretations, and outcomes becomes commonplace. Together with a shortage of medical professionals, means that they experience pressure at the expense of ac- tual ‘hands on the bed’. On the other hand, EPDs contain a wealth of largely un- used, unstructured textual information. Clinicians primarily communicate with each other through letters and reports. Our main question is: Can Natural Lan- guage Processing (NLP) exploit this wealth? By extracting structured data and using it as features for machine learning, a wide variety of process improvements become possible. Furthermore, it may contribute to the desire of government and health stakeholders to simplify registration and relieve pressure. This paper sketches a few prominent process improvements that we plan to research.

KW - Natural language processing

KW - Electronic patient record

KW - Machine learning

KW - Care processes

M3 - Conference contribution

T3 - CEUR Workshop Proceedings

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BT - Proceedings of the 7th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017)

A2 - Ceravolo, Paolo

A2 - van Keulen, Maurice

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PB - CEUR

T2 - 7th IFIP WG 2.6 International Symposium on Data-Driven Process Discovery and Analysis, SIMPDA 2017

Y2 - 6 December 2017 through 8 December 2017

ER -

Exploiting Natural Language Processing for Improving Health Processes

Abstract

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Keywords

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Proceedings of the 7th International Symposium on Data-Driven Process Discovery and Analysis (SIMPDA 2017)

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