Ubiquitous Health Profile (UHPr): a big data curation platform for supporting health data interoperability Article Swipe
Fahad Ahmed Satti
,
Taqdir Ali
,
Jamil Hussain
,
Wajahat Ali Khan
,
Asad Masood Khattak
,
Sungyoung Lee
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1007/s00607-020-00837-2
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1007/s00607-020-00837-2
The lack of Interoperable healthcare data presents a major challenge, towards achieving ubiquitous health care. The plethora of diverse medical standards, rather than common standards, is widening the gap of interoperability. While many organizations are working towards a standardized solution, there is a need for an alternate strategy, which can intelligently mediate amongst a variety of medical systems, not complying with any mainstream healthcare standards while utilizing the benefits of several standard merging initiates, to eventually create digital health personas. The existence and efficiency of such a platform is dependent upon the underlying storage and processing engine, which can acquire, manage and retrieve the relevant medical data. In this paper, we present the Ubiquitous Health Profile (UHPr), a multi-dimensional data storage solution in a semi-structured data curation engine, which provides foundational support for archiving heterogeneous medical data and achieving partial data interoperability in the healthcare domain. Additionally, we present the evaluation results of this proposed platform in terms of its timeliness, accuracy, and scalability. Our results indicate that the UHPr is able to retrieve an error free comprehensive medical profile of a single patient, from a set of slightly over 116.5 million serialized medical fragments for 390,101 patients while maintaining a good scalablity ratio between amount of data and its retrieval speed.
Related Topics
Concepts
Interoperability
Computer science
Scalability
Health care
Data curation
Data science
Big data
Domain (mathematical analysis)
Variety (cybernetics)
Set (abstract data type)
World Wide Web
Knowledge management
Database
Data mining
Mathematics
Programming language
Artificial intelligence
Mathematical analysis
Economic growth
Economics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s00607-020-00837-2
- https://link.springer.com/content/pdf/10.1007/s00607-020-00837-2.pdf
- OA Status
- hybrid
- Cited By
- 36
- References
- 68
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3051565060
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3051565060Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s00607-020-00837-2Digital Object Identifier
- Title
-
Ubiquitous Health Profile (UHPr): a big data curation platform for supporting health data interoperabilityWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-08-19Full publication date if available
- Authors
-
Fahad Ahmed Satti, Taqdir Ali, Jamil Hussain, Wajahat Ali Khan, Asad Masood Khattak, Sungyoung LeeList of authors in order
- Landing page
-
https://doi.org/10.1007/s00607-020-00837-2Publisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s00607-020-00837-2.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://link.springer.com/content/pdf/10.1007/s00607-020-00837-2.pdfDirect OA link when available
- Concepts
-
Interoperability, Computer science, Scalability, Health care, Data curation, Data science, Big data, Domain (mathematical analysis), Variety (cybernetics), Set (abstract data type), World Wide Web, Knowledge management, Database, Data mining, Mathematics, Programming language, Artificial intelligence, Mathematical analysis, Economic growth, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
36Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 3, 2023: 6, 2022: 14, 2021: 7Per-year citation counts (last 5 years)
- References (count)
-
68Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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