Remote Treatment Privacy Controls Using Role-Based Data Access
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Solution Overview
Problem
Telemedicine systems, including remote physical therapy, face challenges in protecting patient data and ensuring compliance with privacy regulations such as HIPAA, CCPA, and GDPR, as they have not adequately integrated access controls and privacy-enhancing technologies (PETs) to ensure secure and compliant remote medical practices.
Innovation Solution
A system incorporating a PET engine and user access controls that utilize machine learning models to manage patient data access, enabling secure telemedicine sessions by dynamically adapting to regulatory changes and providing tailored access for clinicians, patients, and staff, while ensuring compliance with privacy regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If telemedicine systems implement comprehensive access controls and privacy-enhancing technologies to protect patient data, then patient data security and regulatory compliance are improved, but system complexity increases
Solution Approach 1:
The system divides access control into multiple layers: user authentication, role-based authorization levels, and granular permission settings for different data types. This segmentation allows comprehensive security without overwhelming system complexity by breaking down the protection mechanism into manageable, modular components.
Solution Approach 2:
The patent introduces a privacy-enhancing technology (PET) engine as an intermediary component that automatically manages encryption, de-identification, and access control operations. This intermediary handles the complex security operations transparently, improving patient data security while shielding the main system from direct complexity burdens.
2Ease of operation
If the system provides tailored access controls for different user roles (clinicians, patients, staff), then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system implements role-specific interface configurations where each user type (clinician, patient, staff) receives a customized interface with only the controls and data relevant to their role. This local quality approach simplifies the user experience for each role while the underlying complex access control system operates transparently in the background.
Solution Approach 2:
The system performs preliminary authentication and authorization checks before users access any functions or data. By pre-configuring role-based access permissions and automatically verifying user credentials before session initiation, the system simplifies ongoing operations while the complexity is managed through advance setup and automated enforcement.
Data Source
AI summary
A method for displaying clinician user interface generated by a computer is disclosed. The method may include, displaying clinician user interface generated by a computer. The method may also include a profile display presenting information regarding a treatment history of a patient. The method may also include a protocol management display presenting a treatment plan, with the treatment plan comprising a plurality of treatment protocols. The method may also include a plan modification control configured to modify the plurality of treatment protocols of the treatment plan. The method may include a login interface configured to enable a person to access the clinician user interface by providing a credential associated with one of a plurality of user accounts. The method may include wherein each of the plurality of user accounts has a corresponding set of permissions controlling access to patient data on the clinician user interface.