Central Drug Database for Medical Device Data Synchronization
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Solution Overview
Problem
Current medication management systems in hospitals often rely on locally stored drug databases in medical devices like infusion pumps, leading to outdated data, limited storage capacity, and the need for individual device updates, which can be time-consuming and inefficient, especially in real-time operations.
Innovation Solution
A central drug database system that allows for real-time access and validation of drug datasets across multiple medical devices, enabling automatic selection and transfer of current drug information directly to devices, reducing the need for individual updates and ensuring all devices have the latest data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a local drug database is stored in each medical device, then the device can operate offline independently, but the database becomes outdated and requires individual updates to each device
Solution Approach 1:
A central server acts as an intermediary between the pharmacy information system and medical devices. The server receives drug data from the pharmacy system, validates it, and distributes it to multiple medical devices automatically, eliminating the need for individual device updates while maintaining data currency.
Solution Approach 2:
The patent merges the update management function from individual devices to a centralized server. Instead of each device independently managing its local database, the system combines all update operations through a single central point that communicates with the pharmacy information system.
2Reliability
If complete drug databases are updated on each medical device, then all devices have current data, but the update process is time-consuming and resource-intensive
Solution Approach 1:
The system extracts only the necessary drug data from the pharmacy information system and transfers it selectively to medical devices via the central server, rather than copying entire databases. This reduces transfer time and resource consumption while maintaining data accuracy.
Solution Approach 2:
The central server performs preliminary validation and preparation of drug data before distributing it to medical devices. The server checks data consistency, formats it appropriately, and queues updates efficiently, reducing the overall update time at individual devices.
3Speed
If expensive WLAN, LAN, or Bluetooth networks are used to update databases, then real-time updates are possible, but the system cost increases significantly
Solution Approach 1:
The central server serves as an intermediary that manages data transfer efficiently, allowing the use of simpler, less expensive communication infrastructure. The server handles data formatting, validation, and transmission optimization, reducing the requirements for high-speed networks while maintaining effective update speeds.
4Reliability
If drug data is validated and matched locally at each device, then medication safety is ensured, but the programming work and time expenditure increase
Solution Approach 1:
The validation and matching functions are merged from individual devices to the central server. The server performs comprehensive validation of drug data against the pharmacy information system before distribution, maintaining medication safety while reducing the programming workload at each device.
Solution Approach 2:
The central server performs preliminary validation, matching, and formatting of drug data before transferring it to medical devices. This preliminary processing ensures medication safety requirements are met while reducing the time and programming work needed at individual devices during actual use.
Data Source
AI summary
A drug management system and a method for providing a specific medication at a medical device. The system includes a central drug database and at least one external, decentral medical device. A drug prescription can be input preferably manually via an input interface, and an appropriate drug dataset can be retrieved for the medical device and supplied to the medical device. The central drug database includes a plurality of drug datasets for the medical device. The central drug database is configured to match and validate the drug prescription with the plurality of drug datasets and prepare the prescription so as to only implement the drug dataset corresponding to the drug prescription from the central drug database in the medical device during use of the medical device.