Order Set Validation System for Clinical Data Export
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing methods for exporting order sets from one system to another, such as CPOE or EHR systems, often result in integration issues due to unmapped terms, leading to a time-consuming and error-prone process of manual editing and re-exporting, which is costly and inefficient.
Innovation Solution
A system and method for validating order sets in real-time during the editing process, using a content editor user interface that applies export validation rules to detect potential integration issues and provide notifications, allowing users to address these issues before export, thereby ensuring seamless import into target systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual editing and re-exporting is performed to resolve integration issues, then the order set can be successfully imported to the target system, but the process becomes time-consuming and expensive
Solution Approach 1:
The system performs validation of the order set against the target system's data model before the actual export operation. This preliminary validation identifies potential integration issues such as unmapped terms or incompatible data structures in advance, allowing users to correct problems before export and avoiding repeated manual editing cycles.
Solution Approach 2:
The system provides automated feedback to users about validation errors and integration issues detected in the order set. This feedback mechanism guides users through necessary corrections by specifying what needs to be changed, reducing the time and expertise required for manual editing while improving import success rates.
2Reliability
If manual editing is performed to fix integration issues, then export success improves, but the process becomes error-prone and expensive
Solution Approach 1:
The system performs automated self-validation of the order set against the target system's requirements without requiring manual intervention. The validation process automatically identifies issues such as unmapped terms, data type mismatches, or structural incompatibilities, reducing the need for complex manual editing processes and minimizing human error.
3Loss of time
If real-time validation is implemented during editing, then integration issues are detected early, but system complexity increases
Solution Approach 1:
The system implements real-time feedback during the order set editing process by continuously validating the content against the target system's data model as users make changes. This immediate feedback notifies users of integration issues at the moment they occur, allowing for instant correction without requiring separate validation steps or increasing overall system complexity.
Data Source
AI summary
Methods and systems for validating order sets that are to be exported are described. Such order set validation may optionally be performed in substantially real-time. A content editor user interface configured to enable a user to create or edit an order set is provided for display. A user selection of a target format to which the order set is to be exported is received. A user edit with respect to the order set is detected and a validation rule is accessed. The rule is applied to the edited order set to obtain a validation evaluation, optionally in substantially real-time, indicating whether the edited order set is ready for export to the target format, and a corresponding validation notification is provided for display via the content editor. The order set may be exported to the user selected target format.