Medical Worklist Server for Unified Patient Data Transfer
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Solution Overview
Problem
Current medical procedures involving multiple apparatuses, such as x-ray and ultrasound systems, face inefficiencies due to separate data administration and storage, leading to complex workflows, input errors, and increased costs in treatments like shockwave lithotripsy, where patient data must be manually managed across different systems and networks.
Innovation Solution
A method where a first medical apparatus acts as a server and a second apparatus as a client, allowing direct data exchange and storage of patient data only once in the first apparatus, creating an island network for seamless data transfer and synchronization, reducing input errors and simplifying the workflow by avoiding detours through hospital information systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If patient data are separately administered and stored for each medical apparatus, then data security and apparatus independence are maintained, but workflow complexity increases and data management becomes intricate
Solution Approach 1:
The patent introduces a worklist server as an intermediary component that mediates between the HIS/RIS system and multiple medical apparatuses. This server receives examination data from the HIS/RIS and distributes it to the appropriate apparatuses, eliminating the need for direct separate connections to each apparatus while maintaining data security and reducing workflow complexity.
2Adaptability or versatility
If multiple network connections are made available for additional apparatuses, then apparatus connectivity and flexibility are improved, but installation and maintenance costs increase
Solution Approach 1:
The worklist server is designed as a universal platform that can serve multiple different types of medical apparatuses through a single network connection. Instead of requiring separate DICOM network connections for each apparatus, the server provides multi-functional data distribution capabilities, reducing the number of physical connections needed while maintaining high apparatus connectivity and flexibility.
3Reliability
If patient data are transferred manually between apparatuses, then data accuracy can be controlled, but time consumption and productivity decrease
Solution Approach 1:
The system performs preliminary data preparation and validation at the worklist server before distributing data to apparatuses. Patient data are pre-processed, verified, and organized in the correct format during the data distribution phase, eliminating the need for manual data transfer and subsequent error correction. This preliminary action ensures data accuracy while significantly reducing time consumption.
4Measurement precision
If separate study IDs are assigned to each apparatus, then apparatus-specific tracking is improved, but billing complexity and administrative overhead increase
Solution Approach 1:
The worklist server implements a feedback mechanism that tracks examination data flow between the HIS/RIS system and multiple apparatuses. It monitors which apparatuses receive and process patient data, then provides consolidated feedback information for billing purposes. This allows apparatus-specific tracking to be maintained while automatically generating unified billing information, reducing administrative overhead and billing complexity.
Data Source
AI summary
In a method for implementation of a medical procedure on a patient with a first medical apparatus that processes patient data and a second medical apparatus that processes patient data, both apparatuses have interfaces that can be connected with one another for exchange of the patent data. Patient data of the patient is electronically stored in the first apparatus, the interfaces of both apparatuses are connected, the patient data is transferred from the first apparatus to the second apparatus, and the procedure is implemented with the second apparatus.