Multichannel Interaction for Healthcare Intelligent Decision Support | Zendy

Ailton Moreira | Zendy; Manuel Filipe Santos | Zendy

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Multichannel Interaction for Healthcare Intelligent Decision Support

Author(s) -

Ailton Moreira,

Manuel Filipe Santos

Publication year - 2020

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2020.03.074

Subject(s) - computer science , context (archaeology) , health care , health services , service (business) , healthcare service , data science , knowledge management , human–computer interaction , medicine , business , economics , economic growth , paleontology , population , environmental health , marketing , biology

Hospital 4.0 enables the paradigm of personalized healthcare services to be increasingly easy and more effective by using emerging technologies. Multichannel interaction services aim precisely to take advantage of this trend by introducing a multichannel interaction model that enables interaction between different health service actors (patients, nurses, doctors, administrative staff, pharmaceutics, technicians) across multiple channels and in different contexts without losing information. In this article, a model is idealized and proposed in which all main the actors that belong to health service are identified. The model aims to present what would be the multichannel interaction in a health context to improve the services provided to patients as well as their relationship with a health organization.

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