Evidence map›Paper›PMID 39868001›Full record

ArticleComputational and structural biotechnology journal2025

Self-sovereign management scheme of personal health record with personal data store and decentralized identifier.

Tong Min Kim, Taehoon Ko, Byoung Woo Hwang, Hyung Goo Paek, Wan Yeon Lee

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tong Min KimDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Taehoon KoDepartment of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Byoung Woo HwangIntellicode Cooperation, Republic of Korea.
Hyung Goo PaekIntellicode Cooperation, Republic of Korea.
Wan Yeon LeeIntellicode Cooperation, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional personal health record (PHR) management systems are centralized, making them vulnerable to privacy breaches and single points of failure. Despite progress in standardizing healthcare data with the FHIR format, hospitals often lack efficient platforms for transferring PHRs, leading to redundant tests and delayed treatments. To address these challenges, we propose a decentralized PHR management system leveraging Personal Data Stores (PDS) and Decentralized Identifiers (DIDs) in line with the Web 3.0 model. Our system features secure interoperability and personal identification masking. Interoperability is achieved through DID digital certificates for verifying PDS addresses and a dynamic access key (AK) system to minimize credential exposure. Data de-identification, including anonymization and encryption, ensures privacy and prevents unauthorized access. We developed a prototype using the Solid open-source library and Hyperledger Aries protocol. Testing showed efficient performance, with DID validations and AK generation under one second, and data operations for 500 MB-sized PHRs completing in two seconds. De-identification processes were both effective and timely. The system demonstrated the ability to manage PHRs securely, empower users with control over their healthcare data, facilitate seamless and secure data transfer between patients and medical entities, and prevent exposure of sensitive information. This approach advances decentralized PHR management, supporting improved healthcare outcomes and patient experiences in the digital era.

Indexed as

Decentralized identifierPersonal data storePersonal health recordPrivacySecurity

Identifiers

PMID39868001
PMCPMC11758136

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.