Literature DB >> 12855086

Ambient intelligence in health care.

Giuseppe Riva1.   

Abstract

Ambient Intelligence (AmI) is a new paradigm in information technology, in which people are empowered through a digital environment that is aware of their presence and context, and is sensitive, adaptive, and responsive to their needs, habits, gestures and emotions. The most ambitious expression of AmI is Intelligent Mixed Reality (IMR), an evolution of traditional virtual reality environments. Using IMR, it is possible to integrate computer interfaces into the real environment, so that the user can interact with other individuals and with the environment itself in the most natural and intuitive way. How does the emergence of the AmI paradigm influence the future of health care? Using a scenario-based approach, this paper outlines the possible role of AmI in health care by focusing on both its technological and relational nature. In this sense, clinicians and health care providers that want to exploit AmI potential need a significant attention to technology, ergonomics, project management, human factors and organizational changes in the structure of the relevant health service.

Entities:  

Mesh:

Year:  2003        PMID: 12855086     DOI: 10.1089/109493103322011597

Source DB:  PubMed          Journal:  Cyberpsychol Behav        ISSN: 1094-9313


  6 in total

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3.  A flexible routing scheme for patients with topographical disorientation.

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Authors:  Chuan-Jun Su; Chang-Yu Chiang
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5.  Experiential virtual scenarios with real-time monitoring (interreality) for the management of psychological stress: a block randomized controlled trial.

Authors:  Andrea Gaggioli; Federica Pallavicini; Luca Morganti; Silvia Serino; Chiara Scaratti; Marilena Briguglio; Giulia Crifaci; Noemi Vetrano; Annunziata Giulintano; Giuseppe Bernava; Gennaro Tartarisco; Giovanni Pioggia; Simona Raspelli; Pietro Cipresso; Cinzia Vigna; Alessandra Grassi; Margherita Baruffi; Brenda Wiederhold; Giuseppe Riva
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6.  Healthcare Professionals' Perspective on Implementing a Detector of Behavioural Disturbances in Long-Term Care Homes.

Authors:  Mohamed-Amine Choukou; Sophia Mbabaali; Ryan East
Journal:  Int J Environ Res Public Health       Date:  2021-03-08       Impact factor: 3.390

  6 in total

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