Systematic Literature Review of Methods for Maintaining Data Integrity

Kask, Martin; Piho, Gunnar; Ross, Peeter

doi:10.1007/978-3-030-87657-9_20

Cited by 5 publications

(4 citation statements)

References 36 publications

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“…• Data integrity checks based on logic formalism, and/or heuristic-rules, [75], [76] and [77]; • Data integrity verification based cyber-security techniques, [78] and [79]; • System integrity evaluation of infrastructures using the Analytical Hierarchy Process (AHP) and Key Performance Indicators (KPIs) [80]; • Data driven FD and fault diagnosis for industrial process monitoring, [81] and [82];…”

Section: Alternative Methods and Integrity Aspects In Other Fieldsmentioning

confidence: 99%

Recent Advances in Sensor Integrity Monitoring Methods—A Review

2022

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In face of the high complexity of modern systems and the increasing reliance on technology, the strategies and methods to evaluate the integrity of systems and the information they provide are of great importance. The use of sensors to provide important information in various applications has become ubiquitous, which puts more pressure on the accuracy of sensor measurements. In the navigation field, in particular, the integrity of positioning information provided by sensors can be critical, as failures can lead to fatalities and catastrophic damages. Extensive research has been done into methods to assess and improve the integrity of positioning information provided by GNSS receivers, led by the high safety requirements in the aviation field. More recently, a shift into the research of integrity solutions suitable for the challenging positioning requirements of autonomous vehicles in urban environment has been a trend. There have been extensive advancements in developing integrity monitoring algorithms for GNSS and navigation in general. However, these methods have not been sufficiently extended into other types of sensors, and the development of integrity methods outside the navigation field have been scarce and scattered. This work aims to provide an overview of recent advances in the integrity monitoring field, including research outside the navigation domain. The goal is to give an introduction to the integrity monitoring concept to a broader audience, as these techniques have been highly specialized by GNSS experts and navigation related research, fostering multi-disciplinary approaches and creative use of existing methods in different areas and applications.

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Section: Alternative Methods and Integrity Aspects In Other Fieldsmentioning

confidence: 99%

Recent Advances in Sensor Integrity Monitoring Methods—A Review

2022

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“…One possible method is utilizing a standardized API, such as HL7 FHIR ( 73 ), integrated within the data owner's application. However, in such cases, additional measures must be developed to uphold the integrity and reliability of the shared data ( 74 – 76 ).…”

Section: Evaluation Of the Proposed Architecturementioning

confidence: 99%

A reference architecture for personal health data spaces using decentralized content-addressable storage networks

Klementi,

Piho,

Ross

2024

Front. Med.

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IntroductionThis paper addresses the dilemmas of accessibility, comprehensiveness, and ownership related to health data. To resolve these dilemmas, we propose and justify a novel, globally scalable reference architecture for a Personal Health Data Space (PHDS). This architecture leverages decentralized content-addressable storage (DCAS) networks, ensuring that the data subject retains complete control and ownership of their personal health data. In today's globalized world, where people are increasingly mobile for work and leisure, healthcare is transitioning from episodic symptom-based treatment toward continuity of care. The main aims of this are patient engagement, illness prevention, and active and healthy longevity. This shift, along with the secondary use of health data for societal benefit, has intensified the challenges associated with health data accessibility, comprehensiveness, and ownership.MethodThe study is structured around four health data use case scenarios from the Estonian National Health Information System (EHIS): primary medical use, medical emergency use, secondary use, and personal use. We analyze these use cases from the perspectives of accessibility, comprehensiveness, and ownership. Additionally, we examine the security, privacy, and interoperability aspects of health data.ResultsThe proposed architectural solution allows individuals to consolidate all their health data into a unified Personal Health Record (PHR). This data can come from various healthcare institutions, mobile applications, medical devices for home use, and personal health notes.DiscussionsThe comprehensive PHR can then be shared with healthcare providers in a semantically interoperable manner, regardless of their location or the information systems they use. Furthermore, individuals maintain the autonomy to share, sell, or donate their anonymous or pseudonymous health data for secondary use with different systems worldwide. The proposed reference architecture aligns with the principles of the European Health Data Space (EHDS) initiative, enhancing health data management by providing a secure, cost-effective, and sustainable solution.

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“…Several studies have researched the issues related to data integrity and concluded that blockchain-based technology could significantly increase data integrity in the health data domain [1]. We propose a solution (Figure 1) that uses Hyperledger Fabric technology [2] and decentralized storage [3] to preserve the integrity of EHRs where at least two different organizations (e.g., hospitals) exchange EHRs.…”

Section: The Proposed Architecturementioning

confidence: 99%

“…Future work should evaluate whether the proposed architecture resolves data integrity concerns, analyze scalability and future-proofing as computational power evolves, and explore the potential integration of the European Digital Identity. [4] This work in the project 'ICT programme' was supported by the European Union through the European Social Fund.…”

Section: The Proposed Architecturementioning

confidence: 99%