The Role of Digital Trust and Data Security in Online Pharmacy Management

Abstract

The rapid expansion of online pharmacy platforms has fundamentally transformed how patients access prescription medications, offering unprecedented convenience, reduced costs, and broader geographic reach. However, this digital transformation has simultaneously introduced complex and evolving challenges around data privacy, identity fraud, unauthorized access to protected health information, and AI-enabled cybersecurity threats (Kotz et al., 2016). These challenges function as measurable barriers to patient adoption and sustained platform use, particularly among elderly and chronically ill populations who depend most critically on reliable medication access.

This study investigates the relationship between data security architecture and digital trust in online pharmacy environments through the development and evaluation of the Secure E-Pharmacy Trust Framework (SEPTF). The SEPTF integrates three core security modules: AI-Resistant Authentication using biometric liveness detection, a Dynamic Consent Engine built on the User-Managed Access (UMA) protocol, and Distributed Secure Storage implemented via Shamir's secret sharing scheme (Shamir, 1979).

The evaluation drew upon three datasets: 50,000 synthetic patient profiles representing diverse demographic and clinical subgroups; 1,000 simulated authentication events including four categories of AI-generated deepfake credential attempts; and trust assessment questionnaires completed by 500 beta participants before and after a four-week interaction period with the instrumented SEPTF platform.

The pre-intervention period, SEPTF participants showed a significant increase in overall trust in data privacy (from 4.2 to 7.8 on a ten-point scale, with p < 0.001).Throughout the project, all four modules have been critically....

evaluated for both their functionality and real-world practicality. At the time of the final evaluation, our module, AI-Resistant Authentication, demonstrated a deepfake detection rate of 97.3%, falling within the required range for the 3.0% False Acceptance Rate (FAR) operational threshold. The Dynamic Consent Engine achieved a 38% revocation rate for insurance-related data-sharing requests, demonstrating that patients actively exercise their data sovereignty through the NHS App. This level of engagement and autonomy offers a strong foundation on which to build further functionality in the future. Distributed Secure Storage met the 500-millisecond latency threshold under moderate load conditions (334ms average at 500 concurrent users) but exceeded this threshold at 2,500 concurrent users, identifying scalability as the primary technical limitation for high-traffic deployment scenarios.

The study concludes that rigorous data security infrastructure, when made transparent and controllable to users, constitutes a measurable and statistically significant driver of patient trust, platform loyalty, and continued healthcare engagement. These findings establish that cybersecurity investment in digital health platforms is not merely a regulatory obligation but a concrete determinant of long-term platform sustainability and patient outcomes..