Data Workflow Control via Segmented Document Types
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The complexity and vastness of data related to pharmacies and prescription orders lead to errors in data management, as employees may inadvertently or intentionally modify incorrect data, causing operational risks and inconsistencies in processing and filling prescriptions.
Innovation Solution
A system and method that restricts operator access to only necessary data subsets for assigned tasks, links related work requests, and tracks changes to ensure accurate data modification by using document types to indicate required data subsets and task assignments, and prevents task execution until prerequisites are completed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If employees are given access to comprehensive pharmaceutical data to complete their tasks, then task completion capability is improved, but error rate increases due to inadvertent or intentional modification of incorrect data
Solution Approach 1:
The system segments pharmaceutical data into multiple subsets (e.g., prescription data, patient data, pharmacy data, insurance data) and assigns access rights to employees based on their specific task requirements. Each employee can only access and modify the specific subset of data relevant to their assigned work request, preventing exposure to comprehensive data that could lead to errors.
Solution Approach 2:
The system implements local quality control by applying different access restrictions to different data subsets. Each data subset has its own access control policies tailored to the specific task requirements, allowing employees to have full access to necessary data while being restricted from accessing other data subsets, thereby improving both task completion capability and data modification accuracy.
2Measurement precision
If the system provides extensive pharmaceutical data and complex criteria for pharmacy processing, then processing accuracy is improved, but system complexity increases making error prevention difficult
Solution Approach 1:
The system segments complex pharmaceutical data into organized subsets and structures work requests to reference specific subsets. This segmentation maintains the completeness and accuracy of processing criteria while reducing the perceived complexity for employees by presenting only relevant data subsets rather than the entire complex dataset.
Solution Approach 2:
The system introduces an intermediary layer (the work request system) that mediates between employees and the complex pharmaceutical data. The work request acts as an intermediary that pre-configures access rights and data subsets, simplifying the interface for employees while maintaining the full complexity and accuracy of the underlying pharmaceutical data and processing criteria.
3Adaptability or versatility
If employees can access all pharmaceutical data subsets, then flexibility in task completion is improved, but data security and integrity deteriorate due to increased risk of erroneous changes
Solution Approach 1:
The system implements dynamic access control where employee permissions are not fixed but are dynamically assigned based on the specific work request being executed. The system automatically adjusts data subset access rights according to the task requirements, providing flexibility for different task types while maintaining data integrity through context-specific access restrictions.
Solution Approach 2:
The system applies local quality control by tailoring access permissions to each specific data subset and work request combination. Each employee receives customized access rights that match the precise requirements of their assigned task, providing maximum flexibility for task completion while minimizing exposure to data that could be inadvertently modified, thus preserving data integrity.
Data Source
AI summary
A method includes receiving a data access request at a computing system. The data access request is for completion of a first data processing task using the computing system. The method also includes accessing a plurality of first document types associated with a plurality of data processing tasks that include the first data processing task. The plurality of first document types indicates which of various subsets of data are required to complete the plurality of data processing tasks. The method also includes accessing a plurality of second document types that indicate assignments of the plurality of data processing tasks to a plurality of system requestors that includes the first system requestor, and executing the first data processing task based on the plurality of first document types and the plurality of second document types.