Anonymized Medical Provider Search via Batch Identity Obfuscation
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Solution Overview
Problem
Users face challenges in accessing and managing their electronic health records (EHRs) across multiple disparate systems, leading to data inconsistencies and the need for multiple login credentials, as each health institution maintains its own EHR system with unique formats and functionalities.
Innovation Solution
A system that generates a medical entity batch including brand, location, and gateway entities, assigns batch identifiers, and allows users to search and retrieve EHRs from multiple sources while obfuscating identities, using a provider subscription system to connect user devices to EHR systems via FHIR standards and indexing medical terms for uniform presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If each health institution maintains its own separate EHR system with unique formats, then each system can be independently managed and operated, but data inconsistencies arise and users face challenges in accessing and managing their EHRs across multiple systems
Solution Approach 1:
The patent segments the EHR system into multiple independent components: local EHR systems at individual health institutions and a centralized aggregation system. Each institution maintains its own EHR system independently, while the aggregation system collects and integrates data from these segmented sources, allowing both independent management and unified access.
Solution Approach 2:
The patent introduces an intermediary aggregation system that mediates between multiple independent EHR systems and users. This intermediary collects EHR data from various institutions, normalizes the data formats, and provides a unified interface for users to access their complete medical history across all providers, solving the accessibility problem without compromising institutional independence.
2Adaptability or versatility
If multiple separate EHR systems are maintained by different health institutions, then each institution can control its own data, but users require multiple login credentials and face complexity in accessing different portals
Solution Approach 1:
The patent implements a universal access mechanism where a single user credential can access multiple EHR systems through the aggregation layer. The system provides multi-functionality by allowing one authentication to unlock access to numerous different EHR portals, eliminating the need for multiple credentials while preserving each institution's data control through the intermediary architecture.
3Manufacturing precision
If conventional data rectification techniques are used to resolve data inconsistencies between EHR systems, then some data quality issues can be addressed, but the techniques prove insufficient to fully resolve inconsistencies across disparate systems
Solution Approach 1:
The patent applies preliminary action by implementing data normalization and validation rules at the point of data collection and aggregation, before inconsistencies can propagate through the system. The aggregation system pre-processes incoming EHR data, applying standardization transforms and consistency checks upfront, which prevents rather than merely corrects data quality issues.
Data Source
AI summary
A server may maintain information about entities such as medical entities. A user device can send search queries to the server to obtain information about a particular medical entity. The server and/or the user device may maintain information relating to the particular medical entity in a manner that a relationship between the particular medical entity and the user device can be obfuscated from the server. By doing so, privacy of a user of the user device can be protected.