Healthcare Workflow System Standardizing Patient Data Integration
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Solution Overview
Problem
Current Health Information Technology (HIT) systems face challenges in retrieving and integrating comprehensive patient data from multiple sources, leading to inefficient workflows due to data format and ontology differences, limited visibility across healthcare venues, and lack of relevance to specific patient needs.
Innovation Solution
A system that identifies and standardizes health service records from various sources, compares them to medical knowledge models to generate customized workflows, and segments tasks based on user roles, eliminating duplicative, incomplete, or untimely actions, ensuring only relevant and actionable tasks are presented to healthcare providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If health service records are retrieved from multiple healthcare venues, then comprehensive patient data is obtained, but data integration complexity increases due to format and ontology differences
Solution Approach 1:
The patent introduces a standardized information format as an intermediary layer between diverse health service records from different venues. This standardization layer translates various data formats and ontologies into a common structure, enabling comprehensive data aggregation without proportionally increasing integration complexity. The standardized format acts as a mediator that reconciles differences in data representation across healthcare venues.
Solution Approach 2:
The system transforms health service record data by changing its parameter representation from venue-specific formats to a standardized information structure. This parameter transformation includes converting different data schemas, ontologies, and formats into a unified representation, allowing comprehensive patient data collection while managing integration complexity through systematic parameter standardization.
2Adaptability or versatility
If all recommended health service workflows are presented to the user, then complete care options are provided, but workflow relevance decreases due to duplicative and untimely actions
Solution Approach 1:
The system extracts and removes duplicative, already-completed, and untimely workflows from the recommended workflow list. By filtering out these irrelevant actions, the system maintains complete care options while significantly improving workflow relevance. The extraction process identifies and eliminates redundant tasks based on patient history, current status, and timing criteria.
Solution Approach 2:
Instead of presenting all possible workflows (excessive action), the system selectively presents only the necessary subset of workflows (partial action) that are relevant to the current patient situation. This partial presentation approach maintains care completeness by including all necessary actions while avoiding the excess of duplicative and irrelevant workflows.
3Ease of operation
If health service workflows are customized for each user and venue, then workflow relevance improves, but system complexity increases
Solution Approach 1:
The workflow customization is segmented into distinct components: user role identification, venue context identification, and conditional workflow selection. This segmentation allows the system to manage complexity by breaking down customization into discrete, rule-based segments rather than requiring complex global customization logic. Each segment handles a specific aspect of workflow adaptation independently.
Solution Approach 2:
The system performs preliminary actions by pre-defining workflow templates and customization rules based on user roles and venue types. Rather than customizing workflows in real-time during user interaction, the system prepares customized workflow sets in advance based on identified user and venue characteristics, reducing runtime complexity while maintaining high relevance.
Data Source
AI summary
A computerized system customizes patient care workflows for health service providers. The system may extract essential details from various health service records for an individual, transform those details into standardized information, and use the standardized information to generate health service workflows that are particular to the patient. The health service workflows may be customized to a particular health service venue, a particular health service provider role, or even a particular health service provider.