Automated Medical Data Retrieval System
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Solution Overview
Problem
Current systems for managing and retrieving medical images are inefficient, requiring manual retrieval and lacking automated processes for user-specific criteria and scheduling, which can lead to delays and increased workload for medical professionals.
Innovation Solution
A computing system that receives user-specific rules and schedules to automatically retrieve medical data from a remote computer, allowing for periodic selection and retrieval of medical images based on predefined criteria, such as exam type and age, reducing the need for manual intervention and ensuring timely availability of medical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual retrieval methods are used, then medical professionals have control over each retrieval operation, but the workload increases and delays occur
Solution Approach 1:
The system enables self-service automation where the retrieval system automatically executes queries based on pre-configured schedules and criteria without requiring manual intervention for each retrieval operation, thereby improving productivity while maintaining operational control through initial configuration
Solution Approach 2:
Users pre-configure retrieval criteria, schedules, and preferences in advance, allowing the system to automatically execute retrievals according to these pre-set parameters, reducing manual workload during actual retrieval operations while maintaining control over the retrieval process
2Productivity
If automated retrieval is implemented, then productivity increases and workload decreases, but system complexity increases
Solution Approach 1:
The system provides multi-functional automation capabilities including scheduled retrievals, event-driven retrievals, automatic filtering, and result distribution through a single integrated platform, achieving high productivity without proportionally increasing system complexity by consolidating multiple functions into one system
Solution Approach 2:
The system manages complexity by allowing flexible configuration of retrieval parameters such as schedules, criteria, and preferences that can be adjusted without changing the underlying system architecture, enabling automated high-productivity retrieval while maintaining manageable system complexity through parameter-based configuration
3Reliability
If frequent checking is performed, then data availability improves, but energy consumption and system resource usage increase
Solution Approach 1:
The system implements periodic checking at user-defined intervals rather than continuous monitoring, achieving reliable data availability by checking at appropriate frequencies while conserving system resources by avoiding unnecessary frequent checks, thus balancing reliability with resource consumption
Data Source
AI summary
A system and method for transmitting medical data. In one embodiment, a computer system receives filter criteria from a user of a first computer. Furthermore, the computer system may receive schedule information defining a schedule for checking for medical data. Depending on the embodiment, either the computer system or a remote server periodically selects, based upon the received schedule, medical data satisfying the received user-specific rules. The selected medical data is then transmitted to the computer system.