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JYMS : Journal of Yeungnam Medical Science

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Pediatricians’ perception of factors concerning the clinical application of blockchain technology to pediatric health care: a questionnaire survey
Yong Sauk Hau, Min Cheol Chang, Jae Chan Park, Young Joo Lee, Seong Su Kim, Jae Min Lee
J Yeungnam Med Sci. 2023;40(2):156-163.   Published online July 18, 2022
DOI: https://doi.org/10.12701/jyms.2022.00241
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  • 61 Download
AbstractAbstract PDFSupplementary Material
Background
Interest in digital medical information has increased because it allows doctors to easily access a patient’s medical records and provide appropriate medical care. Blockchain technology ensures data safety, reliability, integrity, and transparency by distributing medical data to all users over a peer-to-peer network. This study attempted to assess pediatricians’ thoughts and attitudes toward introducing blockchain technology into the medical field.
Methods
This study used a questionnaire survey to examine the thoughts and attitudes of 30- to 60-year-old pediatricians regarding the introduction of blockchain technology into the medical field. Responses to each item were recorded on a scale ranging from 1 (never agree) to 7 (completely agree).
Results
The scores for the intentions and expectations of using blockchain technology were 4.0 to 4.6. Pediatricians from tertiary hospitals responded more positively (4.5–4.9) to the idea of using blockchain technology for hospital work relative to the general population (4.3–4.7). However, pediatricians working in primary and secondary hospitals had a slightly negative view of the application of blockchain technology to hospital work (p=0.018).
Conclusion
When introducing the medical records of related pediatric and adolescent patients using blockchain technology in the future, it would be better to conduct a pilot project that prioritizes pediatricians in tertiary hospitals. The cost, policy, and market participants’ perceptions are essential factors to consider when introducing technology in the medical field.
Storing information of stroke rehabilitation patients using blockchain technology: a software study
Min Cheol Chang
J Yeungnam Med Sci. 2022;39(2):98-107.   Published online September 7, 2021
DOI: https://doi.org/10.12701/yujm.2021.01368
  • 4,775 View
  • 85 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDF
Background
Stroke 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.
Methods
We created a mini blockchain to store the medical information of patients using the Java programming language.
Results
After 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.
Conclusion
We 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.

Citations

Citations to this article as recorded by  
  • Prediction of motor outcome based on brain perfusion single photon emission computed tomography in corona radiata infarct
    Eunjung Kong, Donghwi Park, Min Cheol Chang
    International Journal of Neuroscience.2023; : 1.     CrossRef
  • 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
    Min Cheol Chang, Donghwi Park, Yoo Jin Choo
    Journal of Pain Research.2022; Volume 15: 4065.     CrossRef

JYMS : Journal of Yeungnam Medical Science