Cited by 11Artificial Intelligence in Healthcare and EducationArtificial Intelligence in HealthcareTechnology and Human Factors in Education and Health

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Augmented Intelligence and Nursing

Skiba, Editor, Diane J.·2017·Nursing Education Perspectives

Abstract

With each new year, numerous reports, columns, and blogs are written to project the upcoming technologies and trends in health care. Several 2017 technology trends point to the growing use of artificial intelligence (AI) in health care. Gartner’s Top 10 Strategic Technology Trends for 2017 (Cearley, Walker, & Burke, 2016) highlight three top trends: AI and advanced machine learning, intelligent apps, and intelligence things. Let’s look at each. First, certain technologies and specific techniques, such as deep learning, neural networks, and natural language processing, are encompassed within the AI and machine-learning concept. These techniques create software programs that are more than just rule-based systems. Rather, these systems can “understand, learn, predict, adapt and appear intelligent” (Cearley et al., 2016). Their ability to learn is key to their functionality. For example, a machine-learning system can analyze numerous electronic health records (EHRs) and recommend potential effective treatments. As more datasets are added, the system can learn and adapt the recommendations, for example, adding genomic data to the EHR database. Intelligent apps, the second trend, refer to virtual personal assistants (VPAs). VPAs help users with everyday tasks, for example, sorting email or answering simple questions (just as SiriTM and CortanaTM do on our smartphones). VPAs will become more available in health care in the coming year. Intelligent things, the third trend, break down…

Overview

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Crossref · 10.1097/01.nep.0000000000000124

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1 of 1 references verified0 citation errors · 0 not checkable

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Research works printed but not linked: 3

  1. 2016, Top 10 strategic technology trends for 2017, Gartner (ID G00317560)
  2. 2016, Robots, augmented intelligence, and things only humans can do, Healthcare Transformation, 1, 209, 10.1089/heat.2016.29028.skk · DOI
  3. 2016, 7 (plus 1) predictions for healthcare IT in 2017

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Metadata

Authors
Skiba, E.
Venue
Nursing Education Perspectives
Published
2017-03
Volume
38
Issue
2
Pages
108-109
ISSN
  • 1536-5026 (ISSN-L)
  • 1943-4685
OpenAlex
W2752735453
Cited by
11
References
1
Citations by year
2025: 1 · 2024: 1 · 2022: 2 · 2021: 1 · 2020: 5 · 2017: 1
FWCI
0.96
Type
journal article
Language
en
Open access
closed
Locations
  • Nursing Education Perspectives (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
Keywords
artificial intelligence in healthcare, augmented intelligence, nursing, machine learning, virtual assistants, cognitive computing, electronic health records, clinical decision support, natural language processing, deep learning, autonomous vehicles, MYCIN, clinical decision support systems, nursing informatics, nursing leadership
MeSH terms
Artificial Intelligence, Education, Nursing, Humans

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