The Intersection of Radiology With Blockchain and Smart Contracts: A Perspective

被引:1
作者
Ghorashi, Nima S. [1 ]
Rahimi, Murwarit [1 ]
Sirous, Reza [1 ,2 ]
Javan, Ramin [1 ]
机构
[1] George Washington Univ, Sch Med & Hlth Sci, Dept Radiol, Washington, DC 20052 USA
[2] Univ Calif San Francisco, Dept Radiol & Biomed Imaging, San Francisco, CA USA
关键词
smart contracts; radiology; blockchain; informatics; decentralization; non-fungible tokens; peer-to-peer communication; p2p;
D O I
10.7759/cureus.46941
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Although blockchain technology and smart contracts are garnering attention in various sectors, their applications and familiarity within the realm of radiology remain largely unexplored. Blockchain, a decentralized digital ledger technology, offers secure, transparent, and resilient data management by distributing the verification process across a network of independent entities. This decentralized technology presents a possible solution for a range of healthcare challenges, from secure data transfer to automated verification processes. To address such challenges in the context of medical imaging, blockchain could provide different approaches, including smart contracts, machine learning algorithms, and the secure dissemination of large files among key stakeholders such as patients, healthcare providers, and institutions. This manuscript aims to explore the current attitudes and perspectives of trainees and radiologists to the utilization of blockchain technology and smart contracts in clinical radiology. Additionally, the study provides an in-depth analysis of the potential applications for incorporating blockchain into radiology.Methods: After obtaining The George Washington University Committee on Human Research Institutional Review Board (IRB) approval, we conducted a 10-question survey among radiologists and trainees at several institutions and private practices. Surveys were created via the Google Forms application and were emailed to potential participants. Participants were asked about their current academic level (medical student, resident/fellow, academic radiologist, private practice radiologist, others), their knowledge level about the field of imaging informatics and blockchain and smart contract technologies, their level of interest in learning more about blockchain and smart contracts, and their opinion about possible applications of blockchain and smart contract in the future of medical imaging.Results: A total of 118 survey requests were distributed; 83 were returned, reflecting a 70.3% overall response rate. Of these, 19 were sent to private practices with a 15.8% response rate (3/19), and 99 to academic centers, yielding an 80.8% response rate (80/99). The survey respondents demonstrated a strong interest and need to further understand these technologies among radiologists and trainees. This study focuses on key components of this technology as it relates to healthcare and the practice of radiology, including data storage, patient care, secure communication, and automation, as well as strengths, weaknesses, opportunities, and threats (SWOT) analysis.Discussion: To our knowledge, this is the first study to investigate and establish a baseline for the current perspectives on the application of blockchain technology and smart contracts in clinical radiology amongst trainees and radiologists across academic and private settings. Incorporating blockchain and smart contracts technologies into the field of radiology has the potential to achieve greater efficiency, security, and patient empowerment. However, the adoption of this technology comes with challenges, such as infrastructure, interoperability, scalability, and regulatory compliance. Collaboration between radiologists, hospital administration, policymakers, technology developers, and patient advocacy organizations will help guide and advance our understanding of the potential applications of blockchain and smart contracts in radiology and healthcare.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Dynamic Spectrum Access via Smart Contracts on Blockchain
    Ariyarathna, Thirasara
    Harankahadeniya, Prabodha
    Isthikar, Saarrah
    Pathirana, Nethmi
    Bandara, H. M. N. Dilum
    Madanayake, Arjuna
    2019 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2019,
  • [42] Blockchain Smart Contracts Static Analysis for Software Assurance
    Schmeelk, Suzanna
    Rosado, Bryan
    Black, Paul E.
    INTELLIGENT COMPUTING, VOL 2, 2021, 284 : 881 - 890
  • [43] Systematic Mapping of Testing Smart Contracts for Blockchain Applications
    Imperius, Nicholas Paul
    Alahmar, Ayman Diyab
    IEEE ACCESS, 2022, 10 : 112845 - 112857
  • [44] Combating Deepfake Videos Using Blockchain and Smart Contracts
    Hasan, Haya R.
    Salah, Khaled
    IEEE ACCESS, 2019, 7 : 41596 - 41606
  • [45] Towards a Framework to compare Blockchain Platforms for Smart Contracts
    Di Lucca, Giuseppe A.
    Tortorella, Maria
    2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI 2021), 2021, : 1931 - 1937
  • [46] DevOps for Ethereum Blockchain Smart Contracts
    Woehrer, Maximilian
    Zdun, Uwe
    2021 IEEE INTERNATIONAL CONFERENCE ON BLOCKCHAIN (BLOCKCHAIN 2021), 2021, : 244 - 251
  • [47] Blockchain in automation technology and Industry 4.0 Application model for blockchain and smart contracts
    Schwarz, Jonas
    Lewin, Marcus
    Dogan, Alaettin
    Fay, Alexander
    Skwarek, Volker
    ATP MAGAZINE, 2020, (05): : 76 - 85
  • [48] MedBlock: Using Blockchain in Health Healthcare Application based on Blockchain and Smart Contracts
    da Fonseca Ribeiro, Maria Ines
    Vasconcelos, Andre
    PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS (ICEIS), VOL 1, 2020, : 156 - 164
  • [49] Smart Contracts: Automated Stipulations on Blockchain
    Mehta, Vruddhi
    More, Sakshi
    2018 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI), 2018,
  • [50] Trust but Verify: The Oracle Paradox of Blockchain Smart Contracts
    Albizri, Abdullah
    Appelbaum, Deniz
    JOURNAL OF INFORMATION SYSTEMS, 2021, 35 (02) : 1 - 16