Personalizing public health: Your health avatar

Pereira, Chrystian; McNamara, Anusha; Sorge, Lindsay A.; Arya, Vibhuti

doi:10.1331/japha.2013.12207

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…Interacting with CAs facilitates collaboration and promotes the coordination of health-related tasks (Georgiadis 2011;Just et al 2005). For example, CAs monitor patient's overall health conditions to support the healing and regeneration processes (Pereira et al 2013), improve the accuracy and timeliness of treatment (Atherton et al 2013), and enhance the diagnostic and therapeutic process (Ferlie and Shortell 2001). The application of CAs also leads to effective team building and better team spirit among colleagues (Bittner, Küstermann, et al, 2019;Dyke et al 2013;Strohmann et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Hybrid intelligence in hospitals: towards a research agenda for collaboration

2021

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Successful collaboration between clinicians is particularly relevant regarding the quality of care process. In this context, the utilization of hybrid intelligence, such as conversational agents (CAs), is a reasonable approach for the coordination of diverse tasks. While there is a great deal of literature involving collaboration, little effort has been made to integrate previous findings and evaluate research when applying CAs in hospitals. By conducting an extended and systematic literature review and semi-structured expert interviews, we identified four major challenges and derived propositions where in-depth research is needed: 1) audience and interdependency; 2) connectivity and embodiment; 3) trust and transparency; and 4) security, privacy, and ethics. The results are helpful for researchers as we discuss directions for future research on CAs for collaboration in a hospital setting enhancing team performance. Practitioners will be able to understand which difficulties must be considered before the actual application of CAs.

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Section: Introductionmentioning

confidence: 99%

Hybrid intelligence in hospitals: towards a research agenda for collaboration

2021

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“…Current applications have been developed for particular tasks (e.g., Frick et al 2019a ), such as taking advantage of medical data to generate predictions or derive recommendations (Krittanawong et al 2017 ; Ku et al 2019 ). For example, AI monitors patients’ health conditions to support healing and regeneration (Pereira et al 2013 ) and assists physicians in diagnosing diseases (Mirbabaie et al 2021b ) and planning suitable treatments (e.g., De Ramón Fernández et al 2019 ; Li et al 2019a , b ; López-Martínez et al 2019 ). However, some AI approaches possess certain technical restrictions which can lead to diagnostic results not being transferable to other circumstances or not being comprehensible to humans, i.e.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research

et al. 2021

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The application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holistic overview. By conducting a systematic discourse approach highlighted by expert interviews with healthcare specialists, we identified the status quo of interdisciplinary research in academia on ethical considerations and dimensions of AI in hospitals. We found 15 fundamental manuscripts by constructing a citation network for the ethical discourse, and we extracted actionable principles and their relationships. We provide an agenda to guide academia, framed under the principles of biomedical ethics. We provide an understanding of the current ethical discourse of AI in clinical environments, identify where further research is pressingly needed, and discuss additional research questions that should be addressed. We also guide practitioners to acknowledge AI-related benefits in hospitals and to understand the related ethical concerns.

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