VaultDB: A Real-World Pilot of Secure Multi-Party Computation within a Clinical Research Network Article Swipe
Jennie Rogers
,
Elizabeth Adetoro
,
Johes Bater
,
Talia Canter
,
Dong Fu
,
A. Hamilton
,
Amro Hassan
,
Ashley I. Martinez
,
Erick Michalski
,
V. F. Mitrović
,
Fred Rachman
,
Raj J. Shah
,
Matt Sterling
,
Kyra VanDoren
,
Theresa L. Walunas
,
Xiao Wang
,
Abel Kho
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2203.00146
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2203.00146
Electronic health records represent a rich and growing source of clinical data for research. Privacy, regulatory, and institutional concerns limit the speed and ease of sharing this data. VaultDB is a framework for securely computing SQL queries over private data from two or more sources. It evaluates queries using secure multiparty computation: cryptographic protocols that evaluate a function such that the only information revealed from running it is the query answer. We describe the development of a HIPAA-compliant version of VaultDB on the Chicago Area Patient Centered Outcomes Research Network (CAPriCORN). This multi-institutional clinical research network spans the electronic health records of nearly 13M patients over hundreds of clinics and hospitals in the Chicago metropolitan area. Our results from deploying at three health systems within this network show its efficiency and scalability for distributed clinical research analyses without moving patient records from their site of origin.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2203.00146
- https://arxiv.org/pdf/2203.00146
- OA Status
- green
- Cited By
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4226170933
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4226170933Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2203.00146Digital Object Identifier
- Title
-
VaultDB: A Real-World Pilot of Secure Multi-Party Computation within a Clinical Research NetworkWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-02-28Full publication date if available
- Authors
-
Jennie Rogers, Elizabeth Adetoro, Johes Bater, Talia Canter, Dong Fu, A. Hamilton, Amro Hassan, Ashley I. Martinez, Erick Michalski, V. F. Mitrović, Fred Rachman, Raj J. Shah, Matt Sterling, Kyra VanDoren, Theresa L. Walunas, Xiao Wang, Abel KhoList of authors in order
- Landing page
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https://arxiv.org/abs/2203.00146Publisher landing page
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https://arxiv.org/pdf/2203.00146Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2203.00146Direct OA link when available
- Concepts
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Scalability, Computer science, Cryptography, Health records, SQL, Secure multi-party computation, Function (biology), Computer security, Internet privacy, Database, Health care, Political science, Biology, Evolutionary biology, LawTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
11Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 4, 2023: 2, 2022: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.its | 128 |
| abstract_inverted_index.the | 20, 60, 68, 73, 82, 97, 112 |
| abstract_inverted_index.two | 41 |
| abstract_inverted_index.Area | 84 |
| abstract_inverted_index.This | 91 |
| abstract_inverted_index.data | 11, 39 |
| abstract_inverted_index.ease | 23 |
| abstract_inverted_index.from | 40, 64, 118, 141 |
| abstract_inverted_index.more | 43 |
| abstract_inverted_index.only | 61 |
| abstract_inverted_index.over | 37, 105 |
| abstract_inverted_index.rich | 5 |
| abstract_inverted_index.show | 127 |
| abstract_inverted_index.site | 143 |
| abstract_inverted_index.such | 58 |
| abstract_inverted_index.that | 54, 59 |
| abstract_inverted_index.this | 26, 125 |
| abstract_inverted_index.area. | 115 |
| abstract_inverted_index.data. | 27 |
| abstract_inverted_index.limit | 19 |
| abstract_inverted_index.query | 69 |
| abstract_inverted_index.spans | 96 |
| abstract_inverted_index.speed | 21 |
| abstract_inverted_index.their | 142 |
| abstract_inverted_index.three | 121 |
| abstract_inverted_index.using | 48 |
| abstract_inverted_index.health | 1, 99, 122 |
| abstract_inverted_index.moving | 138 |
| abstract_inverted_index.nearly | 102 |
| abstract_inverted_index.secure | 49 |
| abstract_inverted_index.source | 8 |
| abstract_inverted_index.within | 124 |
| abstract_inverted_index.Chicago | 83, 113 |
| abstract_inverted_index.Network | 89 |
| abstract_inverted_index.Patient | 85 |
| abstract_inverted_index.VaultDB | 28, 80 |
| abstract_inverted_index.answer. | 70 |
| abstract_inverted_index.clinics | 108 |
| abstract_inverted_index.growing | 7 |
| abstract_inverted_index.network | 95, 126 |
| abstract_inverted_index.origin. | 145 |
| abstract_inverted_index.patient | 139 |
| abstract_inverted_index.private | 38 |
| abstract_inverted_index.queries | 36, 47 |
| abstract_inverted_index.records | 2, 100, 140 |
| abstract_inverted_index.results | 117 |
| abstract_inverted_index.running | 65 |
| abstract_inverted_index.sharing | 25 |
| abstract_inverted_index.systems | 123 |
| abstract_inverted_index.version | 78 |
| abstract_inverted_index.without | 137 |
| abstract_inverted_index.Centered | 86 |
| abstract_inverted_index.Outcomes | 87 |
| abstract_inverted_index.Privacy, | 14 |
| abstract_inverted_index.Research | 88 |
| abstract_inverted_index.analyses | 136 |
| abstract_inverted_index.clinical | 10, 93, 134 |
| abstract_inverted_index.concerns | 18 |
| abstract_inverted_index.describe | 72 |
| abstract_inverted_index.evaluate | 55 |
| abstract_inverted_index.function | 57 |
| abstract_inverted_index.hundreds | 106 |
| abstract_inverted_index.patients | 104 |
| abstract_inverted_index.research | 94, 135 |
| abstract_inverted_index.revealed | 63 |
| abstract_inverted_index.securely | 33 |
| abstract_inverted_index.sources. | 44 |
| abstract_inverted_index.computing | 34 |
| abstract_inverted_index.deploying | 119 |
| abstract_inverted_index.evaluates | 46 |
| abstract_inverted_index.framework | 31 |
| abstract_inverted_index.hospitals | 110 |
| abstract_inverted_index.protocols | 53 |
| abstract_inverted_index.represent | 3 |
| abstract_inverted_index.research. | 13 |
| abstract_inverted_index.Electronic | 0 |
| abstract_inverted_index.efficiency | 129 |
| abstract_inverted_index.electronic | 98 |
| abstract_inverted_index.multiparty | 50 |
| abstract_inverted_index.development | 74 |
| abstract_inverted_index.distributed | 133 |
| abstract_inverted_index.information | 62 |
| abstract_inverted_index.regulatory, | 15 |
| abstract_inverted_index.scalability | 131 |
| abstract_inverted_index.(CAPriCORN). | 90 |
| abstract_inverted_index.computation: | 51 |
| abstract_inverted_index.metropolitan | 114 |
| abstract_inverted_index.cryptographic | 52 |
| abstract_inverted_index.institutional | 17 |
| abstract_inverted_index.HIPAA-compliant | 77 |
| abstract_inverted_index.multi-institutional | 92 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 17 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/17 |
| sustainable_development_goals[0].score | 0.550000011920929 |
| sustainable_development_goals[0].display_name | Partnerships for the goals |
| citation_normalized_percentile |