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Introduction: Health records serve not only as a database of a patient's health history and treatment process but also as a crucial tool for doctors to diagnose and treat patients. However, the storage and sharing of these records are sensitive issues as they involve maintaining patient privacy and ensuring data transparency, security, and interoperability between different parties. Challenges to achieving these goals in the current surgical process can impact the allocation of medical resources and surgical outcomes.
Methods: This article proposes a healthcare 5.0 framework for medical surgery that deploys a secure and distributed network using Blockchain to demonstrate transactions between different parties in the orthopedic surgery process. The proposed network uses the Hyperledger Composer platform for deployment, and a patient-doctor-supplier orthopedic surgery network is designed and implemented to enable the safe sharing of medical records.
Results: A benchmarking tool was implemented for analyzing different scenarios of applying blockchain technology to orthopedic surgery. The application of blockchain technology to orthopedic surgery presents a promising solution for data sharing and supply chain management in the field. The integration of blockchain with cloud storage and hybrid encryption ensures secure and efficient storage of Electronic Health Record (EHR) and Personal Health Record (PHR) data. By leveraging the tamper-proof nature of blockchain and addressing concerns regarding centralized data storage, this scenario demonstrates enhanced security, improved access efficiency, and privacy protection in medical data sharing.
Conclusions: The article demonstrates the feasibility of using an IoT-based blockchain network in orthopedic surgery, which can reduce medical errors and improve data interoperability among different parties. This unique application of blockchain enables secure sharing of medical records, ensuring transparency, security, and interoperability. The network design may also be applicable to other surgeries and medical applications in the future.
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http://dx.doi.org/10.1016/j.ijmedinf.2024.105415 | DOI Listing |
J Eval Clin Pract
September 2025
Department of Orthopedics and Traumatology, Medical Faculty, University of Health Sciences, Antalya, Turkey.
Aims And Objective: The field of medical statistics has experienced significant advancements driven by integrating innovative statistical methodologies. This study aims to conduct a comprehensive analysis to explore current trends, influential research areas, and future directions in medical statistics.
Methods: This paper maps the evolution of statistical methods used in medical research based on 4,919 relevant publications retrieved from the Web of Science.
Foot Ankle Int
September 2025
Department of Orthopaedic Surgery, St. Luke's University Health Network, Bethlehem, PA, USA.
Background: In response to the opioid epidemic, many surgical specialties have adopted nonopioid pain management strategies. Ultrasound (US)-guided peripheral nerve blocks (PNBs) are effective in reducing pain and opioid consumption postsurgery. Liposomal bupivacaine (LB), shown effective in shoulder surgery, was approved in November 2023 for use in US-guided lower extremity blocks.
View Article and Find Full Text PDFFoot Ankle Int
September 2025
Department of Radiology, School of Medicine, Keio University, Shinjuku-ku, Tokyo, Japan.
Background: Coronal wedge insoles are commonly prescribed to mitigate musculoskeletal disorders, yet their static-standing kinematic and kinetic effects on lower extremity joints remain insufficiently understood.
Methods: This cross-sectional experimental study included 15 healthy older adults (mean 64.9 ± 6.
Knee Surg Sports Traumatol Arthrosc
September 2025
Medical University of Innsbruck, University Hospital of Psychiatry II, Innsbruck, Austria.
Orthopaedic trials frequently rely on patient-reported outcomes (PROs) to measure primary end points. Thresholds for clinically meaningful score differences are then used to interpret PRO scores and support result interpretation. At the patient level, thresholds are used to determine if an individual patient has experienced a clinically meaningful improvement or deterioration, which evaluates whether or not they are a treatment responder.
View Article and Find Full Text PDFEur J Heart Fail
September 2025
Evidence-based Medicine Center, Chung Shan Medical University Hospital, Taichung, Taiwan.