Digital Therapeutics Data Anonymization for Secure HCP Access
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Solution Overview
Problem
Traditional drug therapies for medical diseases and disorders often come with undesirable side-effects and high costs, while digital therapeutics require robust data security measures to comply with laws and regulations.
Innovation Solution
A system and method for treating diseases using digital therapeutics, involving patient-generated event data encryption, anonymization, and secure storage, with HCP access to anonymized data through authentication, ensuring patient privacy and compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If patient data is stored and transmitted for digital therapy treatment, then effective treatment monitoring and analysis is enabled, but patient privacy and data security are compromised
Solution Approach 1:
The patent extracts and removes personally identifiable information (PII) from patient data through anonymization processes. This allows the medical data to be retained for treatment analysis while the harmful identifying elements are separated and removed, resolving the contradiction between data utility and privacy protection.
Solution Approach 2:
The patent introduces encryption algorithms and anonymization intermediaries between the patient data and storage/transmission systems. These intermediaries transform the data into secure formats that maintain treatment value while preventing unauthorized access and privacy violations.
2Measurement precision
If comprehensive patient data is collected for treatment analysis, then treatment precision is improved, but data transmission and storage complexity increases
Solution Approach 1:
The patent segments patient data into different categories (identifiable vs. anonymized, sensitive vs. non-sensitive) and applies different processing and storage methods to each segment. This reduces overall system complexity by organizing data systematically while maintaining the precision needed for treatment analysis.
Solution Approach 2:
The patent performs anonymization and encryption preprocessing on patient data before storage and transmission. By preparing the data in advance with appropriate security measures and formats, the system reduces the complexity of subsequent data management operations while preserving treatment precision.
3Ease of operation
If patient identifying information is retained for HCP access, then healthcare delivery is improved, but patient privacy protection is weakened
Solution Approach 1:
The patent applies different quality levels of anonymity to different data elements. Sensitive personally identifiable information is fully anonymized or encrypted, while treatment-relevant data is preserved in accessible formats. This local differentiation allows healthcare delivery to continue smoothly while protecting patient privacy where most needed.
Data Source
AI summary
A method that includes receiving patient-generated event data over a network from a patient device associated with a patient having an active digital therapy prescription for treating an underlying disease or disorder. The patient-generated event data is encrypted by the patient device and includes at least one timestamped event related to the active digital therapy prescription. In response to receiving the patient-generated event data, the method includes decrypting, anonymizing, and storing the anonymized patient-generated event data on memory hardware. The method further includes receiving a patient record request over the network from a healthcare provider (HCP) system that requests the patient-generated event data and includes an authentication token. In response to receiving the patient record request, the method includes retrieving and encrypting the anonymized patient-generated event data from the memory hardware using the authentication token. The method also includes transmitting the encrypted patient-generated event data to the HCP system.