Denecke, Kerstin; Lombardi, Paolo; Nairz, Knud (2022). Digital Medical Interview Assistant for Radiology: Opportunities and Challenges. Studies in health technology and informatics, 293, pp. 39-46. IOS Press 10.3233/SHTI220345
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BACKGROUND
Personal contact between radiologists and their patients is scarce due to time constraints and logistical reasons which impacts on patient knowledgeability and satisfaction, but also on examination and diagnostic quality.
OBJECTIVE
We illuminate medical history interviews from a radiologist's perspective and discuss its impact on the diagnostic quality. Based on these insights, we develop a digital medical interview assistant (DMIA) for radiology that is intended to collect information helping in improving radiological diagnostics.
METHODS
Conditions, issues, problems in the radiological examination process are assessed to collect requirements and to specify questions for a digital medical history interview.
RESULTS
A DMIA with conversational user interface is developed using the scripting language RiveScript. It is accessible through a social media messenger (Telegram messenger). An initial assessment of usability demonstrates a good usability.
CONCLUSION
To overcome the information gap in radiology, a DMIA can simulate an assessment interview. It is still necessary to remove existing barriers in interaction with the DMIA for example by facilitating data entry options.
Item Type: |
Journal Article (Further Contribution) |
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Division/Institute: |
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology |
UniBE Contributor: |
Nairz, Knud |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
0926-9630 |
Publisher: |
IOS Press |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
23 May 2022 12:39 |
Last Modified: |
24 Mar 2023 13:59 |
Publisher DOI: |
10.3233/SHTI220345 |
PubMed ID: |
35592958 |
Uncontrolled Keywords: |
Medical history interview anamnesis chatbot conversational user interface dialog-based system intelligent system radiology |
BORIS DOI: |
10.48350/170152 |
URI: |
https://boris.unibe.ch/id/eprint/170152 |
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