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Digital Twin Technology in Medicine: The Ethical and Regulatory Dilemma

 

© 2025 Digital Twins Technology. All rights reserved.

By Sara Sadat Aghamiri

Human Digital Twin Developer · Clinical Trial Coordinator · Biomedical Informatics Expert

Implementing Digital Twin technology in healthcare necessitates strict adherence to privacy and data protection frameworks. The ethical challenges associated with Digital Twins in personalized medicine include hyper data collection, questions of ownership, widespread data brokerage, unorthodox applications, and even epistemic injustice. Since Digital Twins rely on large volumes of highly sensitive health information, ensuring data confidentiality, integrity, and security becomes paramount. Safeguarding such data against unauthorized access, breaches, or misuse remains one of the most pressing technical and ethical hurdles.

Another challenge arises from digital obsolescence and service discontinuity, which may prevent patients from retrieving or transferring their health information across systems. Without resilient data portability mechanisms, these disruptions risk undermining both continuity of care and the quality of personalized interventions. Although the concept of data ownership remains contested, data brokerage is increasingly prevalent in digital health often involving the sharing of sensitive information without clear user consent. This opacity poses profound privacy risks. Furthermore, misuse of data or lack of compliance by users can reduce the fidelity of a Digital Twin, resulting in inaccurate representations of individual health states. Such distortions threaten not only personalized healthcare but also clinical decision-making when Digital Twin data are incorporated into larger medical ecosystems. In addition, overreliance on algorithmic insights may introduce epistemic injustice, marginalizing patients’ lived experiences in favor of computational outputs. To mitigate these risks, Digital Twin platforms must incorporate end-to-end encryption, secure data storage, and compliance with established data protection regulations to ensure ethical, resilient, and trustworthy infrastructures.

Ensuring the ethical deployment of emerging technologies such as Digital Twins remains a complex task. Foundational guidance stems from the 1979 Belmont Report, which shaped U.S. federal regulations for protecting human research participants. These principles later codified in the Common Rule (1991) emphasize respect for individuals, beneficence, and justice, and they remain highly relevant to Digital Twin research and clinical integration. Together, they establish a normative framework ensuring that autonomy, rights, and welfare are preserved when leveraging patient data for innovation.

Depending on their specific application, Digital Twins intersect with diverse regulatory regimes. For instance:

Data Privacy: HIPAA (U.S.) and GDPR (EU) establish stringent protocols for de-identification, secure transmission, and data protection, further reinforced by the HITECH Act, which mandates encryption and breach notification for electronic health records.

Medical Devices: When functioning as or alongside regulated devices, Digital Twins fall under FDA Medical Device Regulations (21 CFR Parts 800–1299), the EU MDR (2017/745), and the IMDRF SaMD framework. The 21st Century Cures Act also provides accelerated regulatory pathways for novel medical technologies.

Research & Clinical Trials: Institutional Review Boards (IRBs) oversee Digital Twin studies involving human participants, ensuring consent, privacy, and safety. In clinical trials, Good Clinical Practice (GCP) guidelines safeguard data integrity and patient protection, while the FDA Amendments Act (FDAAA) governs post-market surveillance and adverse event reporting.

Diagnostics & Data Transfer: Use of Digital Twins in laboratory diagnostics or simulation must align with CLIA standards for accuracy and reliability, while FDA’s MDDS Guidance ensures integrity in transferring medical device data across systems.

Cybersecurity: Given their interconnected nature, Digital Twin platforms must comply with NIST cybersecurity frameworks to defend against intrusions, breaches, and systemic vulnerabilities.

Ultimately, addressing these ethical and regulatory complexities requires collaborative governance bringing together healthcare providers, regulators, technologists, and patient advocates. By aligning innovation with rigorous ethical safeguards, the healthcare ecosystem can foster Digital Twin applications that not only advance precision medicine but also protect patient rights, trust, and well-being.

Copyright Notice:

© 2025 Digital Twins Technology. All rights reserved.

Aghamiri, SS. "Digital Twin Technology in Medicine: The Ethical and Regulatory Dilemma". Digital Twins Technology. (Accessed: 22 Aug 2025)

References:

Aghamiri, SS., Amin, R., Isavand, P., Vahdati, S., Zeinoddini, A., Kitamura, F. C., Moy, L., & Kline, T. (2025). "Digital twin technology in radiology". Journal of Imaging in Medicine, 2025, 1–13.

Aghamiri, SS. "How Digital Twin Technology Can Revolutionize Healthcare." Society for Imaging Informatics in Medicine. https://siim.org/artificial-intelligence/how-digital-twin-technology-can-revolutionize-healthcare/ (Accessed: 11 March 2025).