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  5. Evaluating Digital Health Record Systems: Utility, Security, Deployability and Usability
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Evaluating Digital Health Record Systems: Utility, Security, Deployability and Usability

Date Issued
May 1, 2025
Author(s)
Govindasamy Ramalingam, Sitharthan  
Advisor(s)
Scott Ruoti
Additional Advisor(s)
Scott Ruoti
Doowon Kim
Fnu Suya
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/35460
Abstract

This thesis presents a comprehensive evaluation of the security foundations in modern Electronic Health Record (EHR) systems, emphasizing the persistent gap between usability-driven deployments and robust data protection. We assessed leading opensource and commercial EHR platforms—including OpenMRS, GNU Health, Epic, Cerner, and NextGen through a structured taxonomy of security, utility, deployability, and usability properties. Our evaluation revealed that while these systems offer mature interfaces and scalable deployments, they commonly lack critical protections such as record-level confidentiality, tamper-evident audit logs, and mechanisms for patient-controlled access. To address these shortcomings, we designed a cryptographically secure EHR architecture. Our approach enables fine-grained access policies, enforces per-record encryption using distinct keys, and ensures that only authorized parties can decrypt patient data. This system prioritizes patient sovereignty, minimizes insider threat vectors, and provides verifiable provenance across access events. Through comparative analysis and architectural modeling, we identify trade-offs in emergency access, metadata privacy, and clinical usability. The findings underscore the need for rethinking EHR security from the ground up, embedding cryptographic assurances without compromising operational workflows. This thesis contributes a modular framework for secure EHR design using cryptography and outlines future work on protocol standardization and usability optimization for deployment in real-world healthcare settings.

Degree
Master of Science
Major
Computer Science
File(s)
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my_dissertation.pdf

Size

468.57 KB

Format

Adobe PDF

Checksum (MD5)

f2f1ea7eb1e14ac2fa7a40d2fa382f29

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