Blockchain Integration in Multimodal Medical Data Systems
Blockchain technology could serve as an infrastructure that guarantees the safe exchange of electronic health data between patients, healthcare providers, hospitals, and medical professionals. It can also address the
present interoperability issues in health information systems. IoMT devices can provide real-time patient sensory data for processing and analysis in healthcare control. The confidentiality and safety of patient health data transfer remain major issues in IoMT devices across a variety of product categories. A blockchain-based system is a decentralized, freely accessible digital block system where all participating blocks are spread out globally and connected by various network configurations. It
is a technology that allows records of a process to be created across numerous computers or digital devices that, without changing its subsequent procedures or actions, cannot be changed retroactively. With the use of blockchain technology, a system can possess digital products, assets, and data, as well as track the record of every transaction that has ever occurred.
In order to link people, resources, and
organizations, access health records with ease, and handle and respond strategically to needs from the health environment, smart healthcare is an architecture that makes use of technologies like wearables, the Internet of Medical Things, developed machine learning methods, and wireless communication technology. Medical sensors, often identified as IoMT, are a key component of smart healthcare. Multimodal medical signals are frequently required for the diagnosis of diseases because of their
complicated nature. A growing topic of interest in the scientific community is the method used to fuse multimodal signals together. A key component of smart healthcare systems, the multimodal data-driven approach finds applications in everything from analyzing diseases to triage, diagnosis, and therapy. The rapid growth of medical services employing artificial intelligence and new changes in the healthcare business have been spurred by the demands placed on the data storage and decision-making
by smart healthcare systems. A great deal of multimodal data is collected and analyzed for various conclusions, assessments, and predictions to aid in decision-making and management as a result of the widespread use of Internet of Things technology; nonetheless, there is a dearth of research on data integrity and privacy, and improper protection of confidential information may have a substantial impact on the rights and benefits of data owners.
This special issue presents a blockchain-based multi-mode safe data broadcasting platform for safe patient data access and control in the IoMT. The suggested framework is successfully used to satisfy the optimized safety and confidentiality needs of healthcare data management on IoMT devices. A healthcare programmed network using blockchain technology has been able to securely generate alerts for verified healthcare professionals based on patient health
data.
Potential topics include but are not limited to the following:
- Blockchain-based multi-modal safe healthcare data distribution architecture for IoMT
- Wearables, blockchain, and artificial intelligence combined for the
management of chronic illnesses
- An extensive evaluation of multimodal medical signal fusion for intelligent health systems
- Edge computing combined with multimedia and multimodal sensing for customised healthcare
- A combination blockchain-based
platform for IoT-Healthcare multimodal data processing
- An Internet of medical things for detecting stress on blockchain
- Utilising blockchain to preserve the privacy and security of IoT multimodal data
- An All-Inclusive Healthcare System through
Blockchain Technology
- A collaborative resource-aware and medical safety for wearable health technologies
- Deep Learning Frameworks and Systems for Multimodal Data Interpretation
- Secured medical data outsourcing using blockchain technology and data
deduplication.
Timeline:
Manuscript submissions due: January 10, 2025
First round of reviews completed: March 3, 2025
Revised manuscripts due: May 10, 2025
Second round of reviews completed: July 10, 2025
Submission Details
- Manuscript Preparation Details
https://blockchainhealthcaretoday.com/index.php/journal/authors-submission - A COVER LETTER MUST BE SUBMITTED. Indicate THEME ISSUE title in letter.
- Download the BHTY Manuscript Template to assist developing your paper at https://blockchainhealthcaretoday.com/index.php/journal/libraryFiles/downloadPublic/6
Submission Portal
Upload your manuscript through the journal Submission Portal at https://blockchainhealthcaretoday.com/index.php/journal/about/submissions
Note: APC will apply unless your university or organization has a Publish and Read Agreement on
file.
Editors-in-Chief
Jennifer Hinkel, Founder & President, Sigla Sciences, and Managing Director, The Data Economics Company,
USA
Umit Cali, MSc, PhD, Professor of Digital Engineering for Future Technologies, University of York, UK
Lead
Editor
Dr. Arnold Adimabua Ojugo, Professor: Department of Computer Science, Federal University of Petroleum Resources, Effurun, Delta State, Nigeria
Additional Theme Issue Editors
Dr. De Rosal Ignatius Moses Setiadi, Informatics Engineering Department, Dian Nuswantoro University, Semarang City,
Indonesia
Dr. Ayei Egu Ibor, Senior Lecturer, Computer Science, University of Calabar, Nigeria
