AI Patient Report Summarization for Clinical Workflow Efficiency
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Solution Overview
Problem
The increasing workload and time constraints for medical professionals make it challenging to efficiently review and analyze vast amounts of patient medical data, hindering prompt and accurate clinical decision-making.
Innovation Solution
A system utilizing AI and ML technologies to automatically generate consolidated summaries of patient medical data, linked to summary reports and patient reports, facilitating quick access to relevant information and enabling efficient clinical workflows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If medical professionals review patient medical data manually, then diagnostic accuracy is maintained, but time consumption increases significantly
Solution Approach 1:
The patent segments patient medical data into multiple report summaries (e.g., radiology reports, lab results, clinical notes) that are processed independently by the AI system. Each summary captures specific aspects of patient data, allowing parallel processing and reducing overall review time while maintaining comprehensive diagnostic coverage
Solution Approach 2:
The patent introduces an AI-based intermediary system that acts as a mediator between raw patient medical data and the medical professional. This intermediary automatically generates consolidated summaries, extracts key findings, and presents relevant information in a structured format, enabling quick review without sacrificing diagnostic accuracy
2Loss of information
If the system generates detailed consolidated summaries from multiple patient reports, then information completeness is improved, but system complexity increases
Solution Approach 1:
The system divides the complex task of summarizing multiple patient reports into manageable segments by processing each report type (radiology, lab, clinical) separately through specialized AI models, then integrating the results into a consolidated summary that maintains information completeness without overwhelming system complexity
Solution Approach 2:
The patent employs a universal AI framework that can handle multiple types of medical reports and data formats through a single integrated system. This multi-functional approach consolidates what would otherwise require separate specialized systems, reducing overall complexity while maintaining comprehensive information extraction across different report types
Data Source
AI summary
The described technology is generally directed towards automated and dynamic creation of a consolidated summary of medical information pertaining to a patient. Rather than a caregiver having to trawl through numerous reports and medical information, utilizing consolidated reports enables efficient review of medical information to enable expedited determination and treatment of the patient. In an example sequence of operation, a collection of patient/medical reports can be individually summarized to form a collection of summarized versions of the original reports. The summarized reports can be further collectively summarized to generate a consolidated summary. Hence, the consolidated summary is a summary of the initial collection of patient/medical records. A consolidated summary can comprise patient information, medical history, medical images, pertinent medical research, etc. A consolidated summary can be presented on an interactive display, with the respective initial patient/medical reports accessible via selectable hyperlinks presented in the consolidated summary.