Digital Medical Interview Assistant for Radiology: Opportunities and Challenges.

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)

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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