The Nature and Improvement of Data Silos in the Medical Field

DOI

10.2991/978-94-6239-801-6_14How to use a DOI?

Keywords

Healthcare Data Silos; Digital Health; Data Governance

Abstract

Nowadays, healthcare data silos have attracted increasing attention in the context of digital health transformation, as they significantly influencing healthcare quality, operational efficiency, and public health governance. However, existing studies have largely focused on technical interoperability and data standardisation, while governance-related barriers including data ownership ambiguity and fragmented responsibilities is insufficiently discussed. This paper analyses the nature, manifestations, causes, and governance implications of healthcare data silos, with a particular focus on hospital-level and inter-organisational data governance rather than software development. The analysis shows that healthcare data silos are not only technical problems caused by incompatible systems, but also institutional and governance problems shaped by unclear data ownership, weak governance capacity, cybersecurity and privacy concerns, regulatory ambiguity, system heterogeneity, and uneven organisational incentives. These barriers solidly reduce willingness to share data and reinforce fragmented healthcare ecosystems. Based on these findings, this paper proposes three recommendations: clarifying data ownership and stewardship, strengthening cybersecurity frameworks with tiered data accessibility, and establishing cost-sharing mechanisms to support interoperability and long-term digital health transformation.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jiaqi Li
PY  - 2026
DA  - 2026/10/23
TI  - The Nature and Improvement of Data Silos in the Medical Field
BT  - Proceedings of the 2026 2nd International Conference on Financial Innovation and Marketing Management (FIMM 2026)
PB  - Atlantis Press
SP  - 118
EP  - 126
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-801-6_14
DO  - 10.2991/978-94-6239-801-6_14
ID  - Li2026
ER  -