Clinical Decision Crawler Agent for Distributed Evidence Search
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Solution Overview
Problem
Current clinical decision support systems in healthcare facilities lack an efficient mechanism to automatically gather and provide relevant evidence from multiple, geographically distributed medical information management systems, making it difficult for practitioners to access and utilize comprehensive patient data for diagnosis and treatment.
Innovation Solution
A clinical decision support crawler agent system that receives search parameters to initiate searches across various evidence sources, including PACS, RIS, and other medical information systems, using protocols like HL7, DICOM, or XML, to identify and provide relevant evidence data to healthcare providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual search methods are used to locate evidence from multiple healthcare facilities, then practitioners can access specific information, but the time required and complexity of the search process increases significantly
Solution Approach 1:
The crawler agent performs autonomous searches across multiple healthcare facilities without requiring manual intervention from practitioners. The system automatically navigates different healthcare systems, retrieves patient evidence, and presents relevant information, thereby eliminating the time-consuming manual search process while maintaining comprehensive information access.
Solution Approach 2:
The crawler agent acts as an intermediary between the practitioner and the dispersed evidence sources across multiple healthcare facilities. It automatically queries various systems (PACS, RIS, EMR, LIS) and synthesizes the information, serving as a bridge that retrieves and consolidates patient evidence without requiring direct manual access to each facility's systems.
2Loss of information
If practitioners manually search every possible healthcare facility's medical information management systems, then comprehensive evidence can be gathered, but the complexity and feasibility of the search process becomes impractical
Solution Approach 1:
The crawler agent autonomously navigates and queries multiple healthcare facility systems without requiring manual configuration or intervention. It automatically determines search parameters, queries relevant systems (PACS, RIS, EMR, LIS), and filters evidence based on patient identifiers, thereby gathering comprehensive information while eliminating the complexity of manual multi-system navigation.
Solution Approach 2:
The crawler agent is designed as a universal search tool that can interface with multiple different healthcare information systems (PACS, RIS, EMR, LIS) across various facilities. It provides a single unified interface for accessing diverse evidence sources, eliminating the need for practitioners to manually learn and navigate each system's specific protocols and interfaces.
3Extent of automation
If current clinical decision support systems are used, then basic diagnostic support is provided, but the ability to automatically gather evidence from geographically distributed systems is lacking
Solution Approach 1:
The crawler agent serves as an automated intermediary that connects the clinical decision support system to geographically distributed healthcare facilities. It automatically queries remote systems (PACS, RIS, EMR, LIS) across different locations, retrieving patient evidence and presenting it to the decision support system without requiring manual configuration or geographic limitations.
Solution Approach 2:
The system performs preliminary automated searches across multiple healthcare facilities before the practitioner needs to make a diagnostic decision. The crawler agent proactively gathers relevant evidence from distributed sources in advance, so that when the practitioner accesses the clinical decision support system, comprehensive information is already compiled and ready for analysis.
Data Source
AI summary
Certain embodiments of the present invention provide a system for clinical decision support including a crawler agent component. The crawler agent component is adapted to receive a search parameter. The search parameter specifies a criteria for evidence data to be searched for. The crawler agent component is adapted to initiate a search of a plurality of evidence sources based at least in part on the search parameter. The search identifies the evidence data. The evidence data is utilized by the clinical decision support system to provide decision support to a healthcare provider for a patient.