Designing a Digital Medical Interview Assistant for Radiology.

Denecke, Kerstin; Cihoric, Nikola; Reichenpfader, Daniel (2023). Designing a Digital Medical Interview Assistant for Radiology. Studies in health technology and informatics, 301, pp. 60-66. IOS Press 10.3233/SHTI230012

Preview

Text SHTI-301-SHTI230012.pdf - Published Version Available under License Creative Commons: Attribution-Noncommercial (CC-BY-NC). Download (269kB) | Preview

Radiologists rarely interact with the patients whose radiological images they are reviewing due to time and resource constraints. However, relevant information about the patient's medical history could improve reporting performance and quality. In this work, our objective was to collect requirements for a digital medical interview assistant (DMIA) that collects the medical history from patients by means of a conversational agent and structures as well as provides the collected data to radiologists. Requirements were gathered based on a narrative literature review, a patient questionnaire and input from a radiologist. Based on these results, a system architecture for the DMIA was developed. 37 functional and 17 non-functional requirements were identified. The resulting architecture comprises five components, namely Chatbot, Natural language processing (NLP), Administration, Content Definition and Workflow Engine. To be able to quickly adapt the chatbot content according to the information needs of a specific radiological examination, there is a need for developing a sustainable process for the content generation that considers standardized data modelling as well as rewording of clinical language into consumer health vocabulary understandable to a diverse patient user group.

Interest & Impact

Downloads

26 since deposited on 15 May 2023
26 in the past 12 months

Citations

5 Citations in Web of Science ®
6 Citations in Scopus

Search

in Google Scholar™

Services

Actions (login required)

Edit item

Actions (login required)

Edit item