Just What the Doctor Ordered: Towards Design Principles for NLP-based Systems in Healthcare

Marvin Braun; Aycan Aslan; Till Ole Diesterhöft; Maike Greve; Alfred Benedikt Brendel; Lutz M. Kolbe

doi:10.1007/978-3-031-06516-3_14

Just What the Doctor Ordered: Towards Design Principles for NLP-based Systems in Healthcare

Marvin Braun^*
, Aycan Aslan
, Till Ole Diesterhöft
, Maike Greve
, Alfred Benedikt Brendel
, Lutz M. Kolbe

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Patient data is mainly transmitted in the form of unstructured free texts in medical documentation. Natural language processing (NLP)-based systems can help to structure and extract information from these free texts to support the work of healthcare professionals. However, the healthcare sector must meet certain information quality requirements to comply with regulations and provide optimal patient care. Therefore, we argue that a design guideline is needed to tailor NLP-based systems to the unique requirements of clinical processes and to catalyze the practical application of such systems. In this paper, we report the results of a design science research study, focusing on the requirements of NLP-based systems used by healthcare professionals. In doing so, we shed light on the needs of practitioners when working with sophisticated NLP-based systems that extract and analyze text-based information from medical documentation. By providing evaluated, testable propositions and detailed design principles, we support the practical endeavor of such systems.

Original language	English
Title of host publication	The Transdisciplinary Reach of Design Science Research : 17th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2022, Proceedings
Editors	Andreas Drechsler, Aurona Gerber, Alan Hevner
Number of pages	12
Place of Publication	Cham
Publisher	Springer Science+Business Media
Publication date	2022
Pages	183-194
ISBN (Print)	9783031065156
ISBN (Electronic)	9783031065163
DOIs	https://doi.org/10.1007/978-3-031-06516-3_14
Publication status	Published - 2022
Externally published	Yes
Event	17th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2022 - Breadcrumb Navigation Muma College of Business, St. Petersburg, United States Duration: 1 Jun 2022 → 3 Jun 2022 Conference number: 17 https://www.usf.edu/business/desrist/

Conference

Conference	17th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2022
Number	17
Location	Breadcrumb Navigation Muma College of Business
Country/Territory	United States
City	St. Petersburg
Period	01/06/2022 → 03/06/2022
Internet address	https://www.usf.edu/business/desrist/

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13229 LNCS
ISSN	0302-9743

Keywords

Design principles
Healthcare
Natural language processing

Access to Document

10.1007/978-3-031-06516-3_14Licence: Unspecified

Handle.net

Persistent link

Cite this

Braun, M., Aslan, A., Ole Diesterhöft, T., Greve, M., Benedikt Brendel, A., & Kolbe, L. M. (2022). Just What the Doctor Ordered: Towards Design Principles for NLP-based Systems in Healthcare. In A. Drechsler, A. Gerber, & A. Hevner (Eds.), The Transdisciplinary Reach of Design Science Research: 17th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2022, Proceedings (pp. 183-194). Springer Science+Business Media. https://doi.org/10.1007/978-3-031-06516-3_14

Braun, Marvin ; Aslan, Aycan ; Ole Diesterhöft, Till et al. / Just What the Doctor Ordered : Towards Design Principles for NLP-based Systems in Healthcare. The Transdisciplinary Reach of Design Science Research: 17th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2022, Proceedings. editor / Andreas Drechsler ; Aurona Gerber ; Alan Hevner. Cham : Springer Science+Business Media, 2022. pp. 183-194 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13229 LNCS).

@inproceedings{fe72438747f9476fa56318a0bed276dd,

title = "Just What the Doctor Ordered: Towards Design Principles for NLP-based Systems in Healthcare",

abstract = "Patient data is mainly transmitted in the form of unstructured free texts in medical documentation. Natural language processing (NLP)-based systems can help to structure and extract information from these free texts to support the work of healthcare professionals. However, the healthcare sector must meet certain information quality requirements to comply with regulations and provide optimal patient care. Therefore, we argue that a design guideline is needed to tailor NLP-based systems to the unique requirements of clinical processes and to catalyze the practical application of such systems. In this paper, we report the results of a design science research study, focusing on the requirements of NLP-based systems used by healthcare professionals. In doing so, we shed light on the needs of practitioners when working with sophisticated NLP-based systems that extract and analyze text-based information from medical documentation. By providing evaluated, testable propositions and detailed design principles, we support the practical endeavor of such systems.",

keywords = "Design principles, Healthcare, Natural language processing, Design principles, Healthcare, Natural language processing",

author = "Marvin Braun and Aycan Aslan and \{Ole Diesterh{\"o}ft\}, Till and Maike Greve and \{Benedikt Brendel\}, Alfred and Kolbe, \{Lutz M.\}",

year = "2022",

doi = "10.1007/978-3-031-06516-3\_14",

language = "English",

isbn = "9783031065156",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science+Business Media",

pages = "183--194",

editor = "Andreas Drechsler and Aurona Gerber and Alan Hevner",

booktitle = "The Transdisciplinary Reach of Design Science Research",

address = "Germany",

note = "17th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2022 ; Conference date: 01-06-2022 Through 03-06-2022",

url = "https://www.usf.edu/business/desrist/",

}

Braun, M, Aslan, A, Ole Diesterhöft, T, Greve, M, Benedikt Brendel, A & Kolbe, LM 2022, Just What the Doctor Ordered: Towards Design Principles for NLP-based Systems in Healthcare. in A Drechsler, A Gerber & A Hevner (eds), The Transdisciplinary Reach of Design Science Research: 17th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2022, Proceedings. Springer Science+Business Media, Cham, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13229 LNCS, pp. 183-194, 17th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2022, St. Petersburg, Florida, United States, 01/06/2022. https://doi.org/10.1007/978-3-031-06516-3_14

Just What the Doctor Ordered: Towards Design Principles for NLP-based Systems in Healthcare. / Braun, Marvin; Aslan, Aycan; Ole Diesterhöft, Till et al.
The Transdisciplinary Reach of Design Science Research: 17th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2022, Proceedings. ed. / Andreas Drechsler; Aurona Gerber; Alan Hevner. Cham: Springer Science+Business Media, 2022. p. 183-194 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13229 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Just What the Doctor Ordered

T2 - 17th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2022

AU - Braun, Marvin

AU - Aslan, Aycan

AU - Ole Diesterhöft, Till

AU - Greve, Maike

AU - Benedikt Brendel, Alfred

AU - Kolbe, Lutz M.

N1 - Conference code: 17

PY - 2022

Y1 - 2022

N2 - Patient data is mainly transmitted in the form of unstructured free texts in medical documentation. Natural language processing (NLP)-based systems can help to structure and extract information from these free texts to support the work of healthcare professionals. However, the healthcare sector must meet certain information quality requirements to comply with regulations and provide optimal patient care. Therefore, we argue that a design guideline is needed to tailor NLP-based systems to the unique requirements of clinical processes and to catalyze the practical application of such systems. In this paper, we report the results of a design science research study, focusing on the requirements of NLP-based systems used by healthcare professionals. In doing so, we shed light on the needs of practitioners when working with sophisticated NLP-based systems that extract and analyze text-based information from medical documentation. By providing evaluated, testable propositions and detailed design principles, we support the practical endeavor of such systems.

AB - Patient data is mainly transmitted in the form of unstructured free texts in medical documentation. Natural language processing (NLP)-based systems can help to structure and extract information from these free texts to support the work of healthcare professionals. However, the healthcare sector must meet certain information quality requirements to comply with regulations and provide optimal patient care. Therefore, we argue that a design guideline is needed to tailor NLP-based systems to the unique requirements of clinical processes and to catalyze the practical application of such systems. In this paper, we report the results of a design science research study, focusing on the requirements of NLP-based systems used by healthcare professionals. In doing so, we shed light on the needs of practitioners when working with sophisticated NLP-based systems that extract and analyze text-based information from medical documentation. By providing evaluated, testable propositions and detailed design principles, we support the practical endeavor of such systems.

KW - Design principles

KW - Healthcare

KW - Natural language processing

KW - Design principles

KW - Healthcare

KW - Natural language processing

U2 - 10.1007/978-3-031-06516-3_14

DO - 10.1007/978-3-031-06516-3_14

M3 - Article in proceedings

AN - SCOPUS:85131909756

SN - 9783031065156

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 183

EP - 194

BT - The Transdisciplinary Reach of Design Science Research

A2 - Drechsler, Andreas

A2 - Gerber, Aurona

A2 - Hevner, Alan

PB - Springer Science+Business Media

CY - Cham

Y2 - 1 June 2022 through 3 June 2022

ER -

Braun M, Aslan A, Ole Diesterhöft T, Greve M, Benedikt Brendel A, Kolbe LM. Just What the Doctor Ordered: Towards Design Principles for NLP-based Systems in Healthcare. In Drechsler A, Gerber A, Hevner A, editors, The Transdisciplinary Reach of Design Science Research: 17th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2022, Proceedings. Cham: Springer Science+Business Media. 2022. p. 183-194. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13229 LNCS). doi: 10.1007/978-3-031-06516-3_14