Interoperability in Healthcare: A Primer and New Frontiers
Summary: Frames healthcare interoperability as three generations: proprietary point-to-point integration, standards-based connectivity, and an emerging semantic layer. Identifies unresolved cross-organizational meaning alignment and proposes research directions for AI-era interoperability. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Andra Ionescu (KTH Royal Institute of Technology)
- 2. Paris Carbone (KTH Royal Institute of Technology)
- 3. Sebastiaan Meijer (KTH Royal Institute of Technology)
- 4. Christos Koutras (New York University)
- 5. Juliana Freire (New York University)
- 6. Katja Hose (Vienna University of Technology)
- 7. Jayanth Raghothama (KTH Royal Institute of Technology)
BibTeX Citation
@article{ionescu_vldb26,
title = {{Interoperability in Healthcare: A Primer and New Frontiers}},
author = {Ionescu, Andra and Carbone, Paris and Meijer, Sebastiaan and Koutras, Christos and Freire, Juliana and Hose, Katja and Raghothama, Jayanth},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4912--4917},
doi = {10.14778/3827998.3828149},
url = {https://doi.org/10.14778/3827998.3828149},
year = {2026}
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 231 | Reference Reconciliation in Complex Information Spaces | 2005 | SIGMOD | 0.00023797615 |
| 1,120 | Principles of Dataspace Systems | 2006 | PODS | 0.00011920747 |
| 1,528 | Managing Semantic Heterogeneity in Databases : A Theoretical Perspective | 1997 | PODS | 0.00010322417 |
| 4,047 | Magneto: Combining Small and Large Language Models for Schema Matching | 2025 | VLDB | 6.8177935e-05 |
| 7,804 | LLM-Matcher: A Name-Based Schema Matching Tool using Large Language Models | 2025 | SIGMOD | 5.4329661e-05 |
| 8,468 | Interoperability in eHealth Systems | 2012 | VLDB | 5.3148581e-05 |
| 10,905 | ConANN: Conformal Approximate Nearest Neighbor Search | 2026 | VLDB | 4.9605343e-05 |
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