Patient Portal Data Silo Segmentation
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Solution Overview
Problem
Current electronic medical record systems lack an efficient method for patients to access and manage their medical data from various sources in a secure and user-friendly manner.
Innovation Solution
A computer-implemented system that receives medical data from contributing channels, assigns it to data silos, and generates a graphical user interface for a patient portal, allowing users to access and visualize their data through dynamic and real-time visual representations of these silos, ensuring secure storage and retrieval compliant with HIPAA standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If medical data is stored in separate data silos from multiple contributing channels, then data security and compliance with HIPAA standards is improved, but data accessibility and user-friendly access for patients deteriorates
Solution Approach 1:
The system segments medical data into separate data silos organized by contributing channels (e.g., hospitals, laboratories, pharmacies) while maintaining HIPAA-compliant security boundaries. Each silo stores data from a specific source with appropriate access controls, yet the unified patient portal provides integrated access to all silos through a single interface, resolving the contradiction between segmented security and unified accessibility.
Solution Approach 2:
The patient portal acts as an intermediary layer between patients and the segmented data silos. It provides a unified access point that retrieves data from multiple secure silos behind the scenes, presenting integrated medical information to patients without compromising the security architecture of individual data sources.
2Ease of operation
If medical data from multiple contributing channels is integrated into a unified system, then patient data accessibility is improved, but system complexity and difficulty of secure storage deteriorates
Solution Approach 1:
Rather than creating a single monolithic database, the system segments data storage into separate contributing channel silos while providing unified access through the patient portal. This segmentation reduces system complexity by allowing each silo to maintain its own security and data structure independently.
Solution Approach 2:
The patient portal serves multiple functions: it provides unified access to diverse data types, manages authentication across different data sources, coordinates data retrieval from multiple silos, and presents integrated information. This multi-functional design consolidates complexity into a single access point rather than requiring complex integration throughout the entire system.
3Ease of operation
If real-time visual representations of patient data are generated, then user-friendliness and engagement are improved, but processing time and system resource consumption deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-fetching and caching patient data from contributing channel silos when the patient portal is accessed. Visual representations are generated in real-time using this pre-retrieved data, reducing the processing time required at the moment of display while maintaining engaging, up-to-date visualizations.
Solution Approach 2:
The visual representations are dynamically generated and updated based on the specific patient's data needs and the types of medical information available in different silos. The system adapts the level of detail and types of visualizations presented, optimizing processing resources while maintaining user engagement through relevant, real-time data display.
Data Source
AI summary
A computer-implemented includes receiving, from one or more contributing channels, medical data; assigning the received medical data to one or more data silos; and generating a graphical user interface that when rendered on a display device renders a visual representation of a patient portal, with the patient portal including: one or more visual representations of the one or more data silos for data associated with a user that requested the patient portal.