Your browser doesn't support javascript.
How does innovative technology impact nursing in infectious diseases and infection control? A scoping review.
Huang, Fanyu; Brouqui, Philippe; Boudjema, Sophia.
  • Huang F; IRD, MEPHI, IHU-Méditerranée Infection, Aix Marseille Université, Marseille, France.
  • Brouqui P; IRD, MEPHI, IHU-Méditerranée Infection, Aix Marseille Université, Marseille, France.
  • Boudjema S; AP-HM, IHU-Méditerranée Infection, Marseille, France.
Nurs Open ; 8(5): 2369-2384, 2021 09.
Article in English | MEDLINE | ID: covidwho-1355888
ABSTRACT

AIM:

Considering the increasing number of emerging infectious diseases, innovative approaches are strongly in demand. Additionally, research in this field has expanded exponentially. Thus, faced with this diverse information, we aim to clarify key concepts and knowledge gaps of technology in nursing and the field of infectious diseases.

DESIGN:

This scoping review followed the methodology of scoping review guidance from Arksey and O'Malley.

METHODS:

Six databases were searched systematically (PubMed, Web of Science, IEEE Explore, EBSCOhost, Cochrane Library and Summon). After the removal of duplicates, 532 citations were retrieved and 77 were included in the analysis.

RESULTS:

We identified five major trends in technology for nursing and infectious diseases artificial intelligence, the Internet of things, information and communications technology, simulation technology and e-learning. Our findings indicate that the most promising trend is the IoT because of the many positive effects validated in most of the reviewed studies.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Artificial Intelligence / Communicable Diseases Type of study: Experimental Studies / Prognostic study / Reviews Limits: Humans Language: English Journal: Nurs Open Year: 2021 Document Type: Article Affiliation country: Nop2.863

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Artificial Intelligence / Communicable Diseases Type of study: Experimental Studies / Prognostic study / Reviews Limits: Humans Language: English Journal: Nurs Open Year: 2021 Document Type: Article Affiliation country: Nop2.863