Unified Patient Data Aggregation Across Disparate EMR Systems
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Solution Overview
Problem
The disparate storage of patient information across multiple healthcare facilities complicates retrieval and display of relevant data for healthcare providers, leading to inefficiencies in accessing and managing patient data across a healthcare continuum.
Innovation Solution
A mobile device-based system that integrates and unifies patient data from various sources, allowing users to access and display patient physiological data through trend graphs and vitals data sets, enabling timely clinical decision-making and improved tracking of quality metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If patient data is stored across multiple healthcare facilities with separate EMRs, then each facility can maintain its own data source and vendor-specific formats, but retrieval and display of relevant patient information becomes complicated and inefficient
Solution Approach 1:
The patent introduces a data aggregation layer that acts as an intermediary between multiple vendor-specific EMR systems and the user interface. This layer collects, standardizes, and integrates patient data from disparate sources, enabling unified access without requiring changes to the underlying facility systems or their vendor-specific formats.
Solution Approach 2:
The system segments patient data into standardized categories and fields that can be independently retrieved and displayed. By organizing data from multiple facilities into uniform structural components, the system enables selective access to specific patient information while maintaining the integrity of the underlying diverse data sources.
2Adaptability or versatility
If multiple vendor-specific EMRs are used across healthcare facilities, then each facility can use its preferred system, but data integration and unified display become complex
Solution Approach 1:
The patent implements a universal data interface that can connect to multiple different vendor-specific EMR systems through standardized communication protocols. This universal layer translates various vendor formats into a common structure, allowing the system to work with multiple vendors without requiring separate integration solutions for each.
Solution Approach 2:
The system transforms data from various vendor-specific formats by changing its structural parameters into a standardized format. This parameter transformation occurs at the data aggregation layer, where incoming data from different vendors is restructured into uniform fields and categories that can be consistently processed and displayed.
3Loss of information
If patient data is accessed from disparate sources, then comprehensive patient information can be gathered, but access time and efficiency are reduced
Solution Approach 1:
The system performs preliminary data aggregation and standardization by pre-collecting and organizing patient information from multiple facilities into a unified structure. This preliminary processing occurs in the background, so when a user requests patient data, the integrated information is already prepared and available for immediate display, significantly reducing access time.
Solution Approach 2:
The patent merges patient data from multiple disparate facilities into a single unified view. By combining data from different sources into one integrated data structure, the system enables comprehensive patient information to be accessed through a single query rather than requiring separate access to multiple facility systems.
Data Source
AI summary
Implementations are directed to providing a user of a mobile device access to patient information and patient physiological data. Actions can include receiving user input, the user input indicating a user command to display a vitals screen for a particular patient, processing patient-specific data and trend data to provide one or more trend graphs, and displaying the vitals screen on the mobile device, the vitals screen including a first display region and a second display region, the first display region displaying one or more trend graphs, and the second display region displaying one or more vitals data sets, each vitals data set corresponding to a trend graph displayed in the first display region.


