Server for Vendor-Independent Medical Data Acquisition
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Solution Overview
Problem
Existing healthcare systems face challenges in acquiring and integrating medical data from Point of Care Testing (POCT) devices across different vendors and locations, requiring significant vendor support and integration efforts, especially when POCT devices are used in home settings or by non-laboratory personnel.
Innovation Solution
A server-based system that transmits requests to a cloud database at predefined intervals to collect medical data from multiple POCT devices, correlating and transmitting this data through a Device Message Layer (DML) communication session to a healthcare unit's data manager, eliminating the need for vendor-specific support and simplifying integration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a POCRG interface is established with each POCT device for data acquisition, then vendor-independent acquisition of medical data is achieved, but integration complexity and maintenance effort increase significantly
Solution Approach 1:
The patent introduces a server as an intermediary component between POCT devices and the health care unit's data manager. The server establishes a single POCRG interface with the data manager, while communicating with multiple POCT devices through standardized protocols. This intermediary architecture eliminates the need for each device to have direct integration with the health care unit, thereby reducing integration complexity while maintaining vendor-independent data acquisition capability.
2Reliability
If POCRT devices are integrated directly with the health care unit, then data acquisition is reliable, but the system requires vendor support and large integration effort
Solution Approach 1:
The patent merges multiple device interfaces into a single server interface. Instead of establishing separate POCRG interfaces with each POCT device, the server consolidates communication with all devices through one unified interface with the data manager. This merging approach maintains reliable data acquisition while significantly reducing the integration effort and vendor support requirements.
3Quantity of substance
If medical data is acquired from multiple vendors' POCT devices, then data completeness is improved, but mapping and storing effort increases
Solution Approach 1:
The server creates a standardized copy of medical data from various POCT devices through the unified POCRG interface. By normalizing data formats and structures at the server level before transmission to the health care unit, the system achieves complete data collection from multiple vendors while eliminating time-consuming mapping and storing efforts at the destination system.
Data Source
AI summary
The present disclosure relates to server and a method for vendor-independent acquisition of medical data by healthcare units. The method comprises transmitting request to a cloud database by the server at predefined intervals of time. The request comprise list of one or more medical devices associated with one or more subjects of the health care unit. Further, the server obtains medical data of the one or more subjects from the cloud database based on the request and correlation of the medical data with medical device data. Upon receiving the medical data, Device Message Layer (DML) communication session is established with a data manager of the health care unit by the server and the medical data is transmitted to the data manager through the established DML communication session by the server for vendor-independent acquisition of the medical data by health care units.