Just What the Doctor Ordered – Towards Design Principles for NLP-Based Systems in Healthcare
- Marvin Braun,
- ,
- Maike Greve,
- Alfred Benedikt Brendel,
- Lutz M. Kolbe,
- Till Ole Diesterhöft
- Georg August University of Göttingen,
- Technical University of Dresden
Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-reviewPublication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 183-194 (11 pages)Publication milestones
- Published - 2022
Publication status
Published - 2022
Volume
13229Publisher
Springer, United States, GermanyISBN (Electronic)
978-3-031-06516-3Publication IDs
- ORCID: /0000-0002-5755-9310/work/174922985
- Scopus: 85131909756
Host publication title
The Transdisciplinary Reach of Design Science ResearchAbstract
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 NLPbased 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 textbased information from medical documentation. By providing evaluated, testable propositions and detailed design principles, we support the practical endeavor of such systems.
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 NLPbased 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 textbased information from medical documentation. By providing evaluated, testable propositions and detailed design principles, we support the practical endeavor of such systems.
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