Cited by 107Technology and Human Factors in Education and HealthInternet of Things and AIArtificial Intelligence in Healthcare and Education

Healthcare 4.0

Wehde, Mark·2019·IEEE Engineering Management Review

Abstract

Healthcare is shifting from traditional hospital-centric care to a more virtual, distributed care that heavily leverages the latest technologies around artificial intelligence, deep learning, data analytics, genomics, home-based healthcare, robotics, and three-dimensional printing of tissue and implants. In the future, fundamental shifts will reshape the healthcare industry. Healthcare will be delivered as a seamless continuum of care, away from the clinic-centered point-of-care model and with a greater focus on prevention and early intervention.

Integrity signals

Registry

Crossref · 10.1109/emr.2019.2930702

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1 of 1 references verified0 citation errors · 0 not checkable

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  • The deployment of Medical 4.0 technologies will allow for significant advancements in therapies and make them available to more persons at an affordable price.

    “The advantages are vast, and the deployment of these technologies will allow for significant advancements in the therapies and make them available to more persons at an affordable price [17,20].”

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Authors
Wehde, M.
Affiliations
Mayo Clinic (US)
Corresponding author
Wehde, Mark
Venue
IEEE Engineering Management Review
Published
2019-09-01
Volume
47
Issue
3
Pages
24-28
ISSN
  • 0360-8581 (ISSN-L)
  • 1937-4178
OpenAlex
W2966679901
Cited by
107
References
1
Citations by year
2026: 8 · 2025: 15 · 2024: 19 · 2023: 20 · 2022: 23 · 2021: 12 · 2020: 10
FWCI
10.41
Type
journal article
Language
en
Open access
closed
Locations
IEEE Engineering Management Review (publishedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
  • Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
Healthcare 4.0, virtual care, artificial intelligence in healthcare, deep learning, data analytics, genomics, home-based healthcare, healthcare robotics, continuum of care, prevention, early intervention

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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