Medical Device Data Integration Engine for Fluid Balance Monitoring
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Solution Overview
Problem
The integration of medical devices in hospital systems is hindered by the use of proprietary data formats, making it difficult for devices from different manufacturers to share or integrate data effectively.
Innovation Solution
A system and method that utilize an integration engine to convert data from multiple medical devices into a common format, enabling concurrent display of data within a single user interface and facilitating calculations to determine relationships between different types of data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If proprietary data formats are used by medical device manufacturers, then device functionality and performance are improved, but interoperability and ease of integration with hospital systems deteriorate
Solution Approach 1:
The patent implements an integration engine that serves as an intermediary component between medical devices using proprietary formats and the hospital information system. This engine automatically converts proprietary data formats into standardized formats (such as HL7), enabling interoperability without requiring changes to the original medical devices. The integration engine mediates the data exchange, translating between different formats while preserving the functionality and performance benefits of proprietary formats.
2Productivity
If proprietary data formats are used to restrict competition, then manufacturer control and licensing revenue are improved, but system complexity and integration difficulty worsen
Solution Approach 1:
The integration engine acts as a mediator that handles the complexity of multiple proprietary formats centrally, rather than requiring each device to be individually integrated. This consolidates the integration complexity into a single component that can manage multiple format conversions simultaneously, reducing the overall system complexity while maintaining manufacturer control over their proprietary formats.
Solution Approach 2:
The integration engine is designed with universal capabilities to handle multiple different proprietary data formats from various manufacturers. It provides multi-functional support for converting different formats into standardized hospital system formats, eliminating the need for separate integration solutions for each device type and reducing overall integration complexity.
3Adaptability or versatility
If separate interfaces are created for each proprietary data format, then compatibility with specific devices is improved, but development time and cost worsen
Solution Approach 1:
The integration engine provides universal compatibility with multiple proprietary data formats through a single multi-functional platform. Instead of requiring separate interface development for each device format, the engine is designed to recognize and convert various proprietary formats using a unified architecture, dramatically reducing development time and resource requirements while maintaining broad device compatibility.
Solution Approach 2:
The system performs preliminary actions by pre-configuring the integration engine with knowledge of multiple proprietary data formats and their conversion rules. This advance preparation allows the engine to automatically handle format conversions without requiring custom development work for each new device, significantly reducing interface development time while maintaining compatibility.
4Reliability
If data from multiple medical devices is integrated into a single system, then data analysis and patient care quality are improved, but system complexity and integration effort worsen
Solution Approach 1:
The integration engine serves as a mediator that consolidates data from multiple medical devices into a unified standardized format, enabling comprehensive data analysis for improved patient care. By handling all format conversions and integrations centrally, it reduces the complexity burden on individual devices while enabling the benefits of integrated data analysis including fluid balance monitoring and trend identification.
Data Source
AI summary
Methods, systems, and apparatuses for integrating medical device data are disclosed. In an example embodiment, an integration engine receives infusion therapy progress data from an infusion pump related to a patient identifier and receives renal failure therapy progress data from a renal failure therapy machine related to the same patient identifier. The integration engine determines fluid balance data based on a difference between at least some of the infusion therapy progress data and at least some of the renal failure therapy progress data and causes a combination user interface to display a trend of the fluid balance data within a fluid balance timeline. The integration engine determines when the trend of the fluid balance data exceeds a fluid balance limit and causes a fluid balance alarm or alert to be provided.