Title
Considering patient safety in autonomous e-mental health systems - detecting risk situations and referring patients back to human care.
Abstract
This paper presents a protocol that elucidates the steps and decisions involved in risk detection, something that is relevant for all types of AEMH systems. In the case of self-referral, our study shows that a virtual agent can increase users' intention to self-refer. Moreover, the strategy of the agent influenced the intentions of the user afterwards. This highlights the importance of a personalised approach to promote the user's access to appropriate care.
Year
DOI
Venue
2019
10.1186/s12911-019-0796-x
BMC medical informatics and decision making
Keywords
Field
DocType
Assistive technologies,Chatbots,Conversational agents,Persuasive computing,Risk,Robotics,Virtual agents,eHealth
Health care,Internet privacy,Persuasion,Patient safety,Knowledge management,Digital health,eHealth,Risk management,Telehealth,Medicine,Referral
Journal
Volume
Issue
ISSN
19
1
1472-6947
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Myrthe Tielman1103.80
Mark A. Neerincx275796.80
Claudia Pagliari3768.88
Albert A. Rizzo453174.58
Willem-Paul Brinkman552153.22