The DOI matches its Crossref record; 15 of the 16 references it cites were found in a registry or an index.
A MODEL FOR BLOCKCHAIN-BASED DISTRIBUTED ELECTRONIC HEALTH RECORDS
Open accessAbstract
Electronic health records (EHR) are usually maintained in a centralized way by health organizations, leaving aside an integration between different health organizations to view the complete health history of a given patient.This lack of EHR integration prevents patients and physicians to have a unified view of medical records, which are often stored in different health organizations.Recent studies have proposed using Blockchain technology in distributed architectures due to its security and integration properties.In this context, this article proposes an application architecture using Blockchain technology for distributed EHR integration, which is called UniRec (Unified Medical Records).In the proposed model we seek to understand its effectivity, performance and applicability, using a case study methodology.We developed a prototype, which is evaluated using a test scenario.The prototype proved to be effective for distributed EHR integration, allowing one healthcare institution to view an EHR previously added by different providers, after being granted permission.During the test scenario execution, we obtained an average response time of 2.77 seconds, 961.6 MiB of memory consumption, 21.5% CPU usage and a total disk usage of 34.6 MB.The results reinforce the potential and feasibility of employing Blockchain for managing and storing medical data.
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The feasibility of applications (Quaini et al., 2018) has been developed and tested through research efforts that can be classified into three sub-themes: concept development, benefitbased applications, and building predictive capabilities.”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Quaini et al., 2018
In the citing paper
“Prior studies have promulgated the use of blockchain as a proficient method of managing medical data (Quaini et al., 2018;Hussein et al., 2018;Silva et al., 2019;Shen et al., 2019;Tian et al., 2019) and electronic personal health information or records (PHRs) (Roehrs et al., 2017;Dagher et al., 2018;Hussein et al., 2018;Guo et al., 2018).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Quaini et al., 2018
In the citing paper
“The reviewed studies have suggested some measures of inducing these improvements, for instance through the effective integration of heterogeneous data from multiple sources (Quaini et al., 2018), and the integration of smart contracts (Dagher et al., 2018).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Quaini et al., 2018
In the citing paper
“Some studies reported limitations for data, such as non-representativeness of sample data (Quaini et al., 2018;Firdaus et al. 2018), the limited availability of training data for running simulations or tests (Lee & Yang, 2018), and the possibility of data duplication (Roehrs et al., 2017).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Quaini et al., 2018
In the citing paper
“Other reported constraints pertain to lack of testing using actual inter-institutional medical data (Quaini et al., 2018), and the lack of time for dynamic analysis (Firdaus et al. 2018).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Quaini et al., 2018
In the citing paper
“These include strategic issues, such as resource constraints (Dwivedi et al., 2019) and technical issues, such as performance uncertainty (Hyla and Pejaś, 2019) and system requirements (Quaini et al., 2018).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Quaini et al., 2018
In the citing paper
“Prior literature has suggested various recommendations for future research, including extending (e.g.Zhou et al., 2018) or replicating current frameworks (e.g.Quaini et al., 2018), and developing targeted treatment solutions (e.g.Mamoshina et al., 2018), to name a few.”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Quaini et al., 2018
Citations
Cites
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Bitcoin: A Peer-to-Peer Electronic Cash SystemPreprint
Squarepants, S. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.3977007 · Cited by 11,146
IPFS - Content Addressed, Versioned, P2P File SystemPreprint
Benet, J. (2014) · arXiv (Cornell University) · doi:10.4230/lipics.opodis.2022.9 · Cited by 1,856
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Pilkington, M. (2016) · Research Handbook on Digital Transformations · doi:10.4337/9781784717766.00019 · Cited by 1,627
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Fernández-Alemán, J. L., Señor, I. C., Lozoya, P. Á. O., & Toval, A. (2013) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2012.12.003 · Cited by 675 · cited 1×
“These Blockchain features fit into the needs faced by the EHR area, such as security, auditing and availability (Fernández-Alemán et al, 2013).”
BackgroundBBDS: Blockchain-Based Data Sharing for Electronic Medical Records in Cloud Environments
Xia, Q., Sifah, E. B., Smahi, A., Amofa, S. K., & Zhang, X. (2017) · Information · doi:10.3390/info8020044 · Cited by 600
OmniPHR: a distributed architecture model to integrate personal health records
Roehrs, A., da Costa, C. A., & da Rosa Righi, R. (2017) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2017.05.012 · Cited by 428
Self-citationPersonal Health Records: A Systematic Literature Review
Roehrs, A., da Costa, C. A., Righi, R. D. R., & Farias, K. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.5876 · Cited by 356
Self-citationTamper-Resistant Mobile Health Using Blockchain Technology.
Ichikawa, D., Kashiyama, M., & Ueno, T. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.7938 · Cited by 298 · cited 3×
“Another possibility of future work would be the application of the UniRec model using another Blockchain platform, such as Hyperledger, whose use was suggested in models from related works (Ichikawa et al, 2017).”
BackgroundMethod
Flagged first, then by citations
1 of the 16 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Tandon, A., Dhir, A., Islam, A. K. M. N., & Mäntymäki, M. (2020) · Computers in Industry · doi:10.1016/j.compind.2020.103290 · Cited by 439
Blockchain applications in management: A bibliometric analysis and literature review
Tandon, A., Kaur, P., Mäntymäki, M., & Dhir, A. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120649 · Cited by 337
A Survey on Blockchain-Based Self-Sovereign Patient Identity in Healthcare
Houtan, B., Hafid, A. S., & Makrakis, D. (2020) · IEEE Access · doi:10.1109/access.2020.2994090 · Cited by 174
Mandarino, V., Pappalardo, G., & Tramontana, E. (2024) · Computers · doi:10.3390/computers13060132 · Cited by 55
Gutiérrez, O., Romero, G., Pérez, L., Salazar, A., Charris, M., & Wightman, P. M. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17197132 · Cited by 34
Metadata
- Authors
- Quaini, T., Roehrs, A., da Costa, C. A., & da Rosa Righi, R.
- Affiliations
- Universidade do Vale do Rio dos Sinos (BR)
- Venue
- IADIS INTERNATIONAL JOURNAL ON WWW/INTERNET
- Published
- 2018-12-21
- Volume
- 16
- Issue
- 2
- Pages
- 66-79
- ISSN
- 1645-7641 (ISSN-L)
- OpenAlex
- W2963834525
- Cited by
- 23
- References
- 16
- Citations by year
- 2025: 4 · 2024: 6 · 2023: 3 · 2022: 2 · 2021: 3 · 2020: 5
- FWCI
- 3.23
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- IADIS INTERNATIONAL JOURNAL ON WWW/INTERNET (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Keywords
- electronic health records, blockchain, electronic health record integration, health data management, application architecture, medical data security, performance evaluation
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