The DOI matches its Crossref record.
A Critique of Interoperability, Big Data, Artificial Intelligence and Medical Care in General Currently
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Claims the paper makes
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Successful interoperability implementation in smart manufacturing will lead to efficient communication and error-prone data interchange between devices, users, systems, and platforms.
“Thus, a successful interoperability implementation in smart manufacturing will lead to efficient communication and error-prone data interchange between devices, users, systems, and platforms.”
From Interoperability of heterogeneous health information systems: a systematic literature review (2023) · cites this paper as [41]
The architecture and platforms used by machines and software programs present a considerable obstacle to interoperability in smart manufacturing.
“The architecture and platforms that are utilized by machines and software programs present a considerable obstacle to this.”
From Interoperability of heterogeneous health information systems: a systematic literature review (2023) · cites this paper as [41]
Manufacturing architectures have evolved into integrated networks of automation devices, services, and businesses due to recent developments in manufacturing technologies including cyber-physical systems, the industrial internet, artificial intelligence, and machine learning.
“Manufacturing architectures have evolved into integrated networks of automation devices, services, and businesses thanks to recent developments in manufacturing technologies including cyber-physical systems, the industrial internet, artificial intelligence, and machine learning.”
From Interoperability of heterogeneous health information systems: a systematic literature review (2023) · cites this paper as [41]
Industry-specific interoperability and their corresponding logical semantics can help comprehend the topic better.
“Industry-specific interoperability and their corresponding logical semantics can help us comprehend the topic better [41].”
From Interoperability of heterogeneous health information systems: a systematic literature review (2023) · cites this paper as [41]
The growth of manufacturing technologies has led to a rising requirement for interoperability at all levels of the manufacturing ecosystem.
“The rising requirement for interoperability at all levels of the manufacturing ecosystem is one of the difficulties that have come about as a result of this growth.”
From Interoperability of heterogeneous health information systems: a systematic literature review (2023) · cites this paper as [41]
Citations
Cited by
Sorted by citations
Interoperability of heterogeneous health information systems: a systematic literature review
Torab-Miandoab, A., Samad-Soltani, T., Jodati, A., & Rezaei-Hachesu, P. (2023) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-023-02115-5 · Cited by 393
“Industry-specific interoperability and their corresponding logical semantics can help us comprehend the topic better [41].”
BackgroundCope, B., Kalantzis, M., Zhai, C., Krussel, A., Searsmith, D., Ferguson, D. C., Tapping, R. I., & Berrocal, Y. A. (2022) · Postdigital science and education · doi:10.1007/978-3-030-95006-4_8 · Cited by 11
Köse, U., & Deperlioğlu, Ö. (2019) · Innovations in Intelligent Systems and Applications Conference (ASYU) · doi:10.1109/asyu48272.2019.8946427 · Cited by 2
Torab-Miandoab, A., Samad‐Soltani, T., Jodati, A., & Rezaei‐Hachesu, P. (2023) · Figshare · doi:10.6084/m9.figshare.22612778
Metadata
- Authors
- McGuire, M. R.
- Corresponding author
- McGuire, Michael R
- Venue
- Health Science Journal
- Publisher
- Scitechnol Biosoft Pvt. Ltd.
- Published
- 2018
- Volume
- 12
- Issue
- 5
- ISSN
- 1791-809X (ISSN-L)
- OpenAlex
- W2899862419
- Cited by
- 4
- References
- 0
- Citations by year
- 2023: 2 · 2022: 1 · 2019: 1
- FWCI
- 0.07
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- Health Science Journal (publishedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- interoperability, big data, artificial intelligence, health care, health information technology
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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.
Statistics and arithmetic are recomputed, not judged.
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