ArticleJournal of Yeungnam medical science2022
Storing information of stroke rehabilitation patients using blockchain technology: a software study.
Article in Journal of Yeungnam medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Decentralized Tele-Rehabilitation via Edge AI-Oracle Architecture for Spatiotemporal Pain Assessment.Sensors (Basel, Switzerland) · 2026Article
- Use of QR Codes for Promoting a Home-Based Therapeutic Exercise in Patients with Lumbar Disc Herniation and Lumbar Spinal Stenosis: A Prospective Randomized Study.Journal of pain research · 2022Article
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Authors and funding
1 author.
Funding
Abstract
backgruoundStroke patients usually experience damage to multiple functions and a long rehabilitation period. Hence, there is a large volume of patient clinical information. It thus takes a long time for clinicians to identify the patient's information and essential pieces of information may be overlooked. To solve this, we stored the essential clinical information of stroke patients in a blockchain and implemented the blockchain technology using the Java programming language.
methodsWe created a mini blockchain to store the medical information of patients using the Java programming language.
resultsAfter generating a unique pair of public/private keys for identity verification, a patient's identity is verified by applying the Elliptic Curve Digital Signature Algorithm based on the generated keys. When the identity verification is complete, new medical data are stored in the transaction list and the generated transaction is verified. When verification is completed normally, the block hash value is derived using the transaction value and the hash value of the previous block. The hash value of the previous block is then stored in the generated block to interconnect the blocks.
conclusionWe demonstrated that blockchain can be used to store and deliver the patient information of stroke patients. It may be difficult to directly implement the code that we developed in the medical field, but it can serve as a starting point for the creation of a blockchain system to be used in the field.
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