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 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.
| Original language | English |
|---|---|
| Title of host publication | The Transdisciplinary Reach of Design Science Research |
| Number of pages | 11 |
| Volume | 13229 |
| Publisher | Springer |
| Publication date | 2022 |
| Pages | 183-194 |
| ISBN (Electronic) | 978-3-031-06516-3 |
| DOIs | |
| Publication status | Published - 2022 |
| Externally published | Yes |
Keywords
- Healthcare
- Natural language processing
- Design principles