Unknown

Dataset Information

Person-based design and evaluation of MIA, a digital medical interview assistant for radiology.


ABSTRACT:

Introduction

Radiologists frequently lack direct patient contact due to time constraints. Digital medical interview assistants aim to facilitate the collection of health information. In this paper, we propose leveraging conversational agents to realize a medical interview assistant to facilitate medical history taking, while at the same time offering patients the opportunity to ask questions on the examination.

Methods

MIA, the digital medical interview assistant, was developed using a person-based design approach, involving patient opinions and expert knowledge during the design and development with a specific use case in collecting information before a mammography examination. MIA consists of two modules: the interview module and the question answering module (Q&A). To ens

SUBMITTER: Denecke K 

PROVIDER: S-EPMC11363708 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature