From Data to Value: How Artificial Intelligence Augments the Radiology Business to Create Value

Martin-Carreras, Teresa; Chen, Po-Hao

doi:10.1055/s-0039-3400269

Cited by 9 publications

(1 citation statement)

References 57 publications

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“…In general, AI applications are predicted to have a profound impact on future radiology [9,10]. Huge efforts are undertaken to establish AI-supported image analysis and interpretation, but also to apply AI to optimize the workflow with respect to operational and financial targets [11,12]. In future, we want to assess how much AI is necessary and useful to reliably collect information from a patient and to achieve a good user experience.…”

Section: Opportunities and Challenges Of Dmia And Cui In Radiologymentioning

confidence: 99%

Digital Medical Interview Assistant for Radiology: Opportunities and Challenges

Denecke

Lombardi

Nairz

2022

Studies in Health Technology and Informatics

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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.

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