The objective of the study is to identify challenges and associated factors for privacy and security related to telehealth visits during the COVID-19 pandemic. The systematic search strategy used the databases of PubMed, ScienceDirect, ProQuest, Embase, CINAHL, and COCHRANE, with the search terms of telehealth/telemedicine, privacy, security, and confidentiality. Reviews included peer-reviewed empirical studies conducted from January 2020 to February 2022. Studies conducted outside of the US, non-empirical, and non-telehealth related were excluded. Eighteen studies were included in the final analysis. Three risk factors associated with privacy and security in telehealth practice included: environmental factors (lack of private space for vulnerable populations, difficulty sharing sensitive health information remotely), technology factors (data security issues, limited access to the internet, and technology), and operational factors (reimbursement, payer denials, technology accessibility, training, and education). Findings from this study can assist governments, policymakers, and healthcare organizations in developing best practices in telehealth privacy and security strategies.
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BMC Nurs
January 2025
Department of Healthcare Management Research Center, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8677, Japan.
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J Med Syst
January 2025
Department of Public Health, Ribeirão Preto Medical School, University of São Paulo (USP), Ribeirão Preto, São Paulo, Brazil.
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January 2025
Faculty of Medicine and University Hospital Cologne, Institute for Medical Cologne, Cologne, Germany.
Recently, research on blockchain applications in the healthcare research domain has attracted increasing attention due to its strong potential. However, the existing literature reveals limited studies on defining use cases of blockchain in clinical research, categorizing and comparing available studies. Therefore, this study aims to explore the significant potential and use cases of blockchain in clinical research through a comprehensive systematic literature review (SLR).
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computer Science and Engineering at Hanyang University ERICA, Ansan-si, Gyeonggi-do, South Korea.
Privacy-preserving record linkage (PPRL) technology, crucial for linking records across datasets while maintaining privacy, is susceptible to graph-based re-identification attacks. These attacks compromise privacy and pose significant risks, such as identity theft and financial fraud. This study proposes a zero-relationship encoding scheme that minimizes the linkage between source and encoded records to enhance PPRL systems' resistance to re-identification attacks.
View Article and Find Full Text PDFAlzheimers Dement
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Massachusetts Institute of Technology, Cambridge, MA, USA.
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