Dynamic Electronic Medical Report Generation from Clinic Notes
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Solution Overview
Problem
Current systems fail to efficiently generate electronic medical reports specific to the personal injury context from diverse data formats, leading to inefficiencies and inaccuracies in information retrieval, as they cannot dynamically parse and standardize clinic notes from multiple sources.
Innovation Solution
A computer-implemented method and system that dynamically generates an electronic medical report by obtaining patient information, clinic notes from various sources, and applying medical reporting standards to transform and structure the data into a standardized format, using frameworks and rules to build a report that satisfies specific medical reporting standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional systems are used to generate electronic medical reports from diverse clinic notes, then the system structure remains simple, but the system cannot efficiently parse and standardize data from multiple sources, leading to inaccuracies and inefficiencies
Solution Approach 1:
The patent introduces an intermediary layer consisting of frameworks and transformation rules that mediate between diverse clinic note formats and the standardized electronic medical report. This intermediary layer parses, transforms, and standardizes data from multiple sources without requiring changes to the underlying clinic systems, thereby improving accuracy while managing complexity through modular design.
Solution Approach 2:
The system segments the report generation process into distinct components: data collection from multiple sources, parsing individual note formats, transformation through rules, framework application, and final report assembly. This segmentation allows each component to be optimized independently, improving overall accuracy without proportionally increasing system complexity.
2Adaptability or versatility
If traditional static report generation methods are used, then the processing requirements remain low, but the system cannot dynamically adapt to different data formats and medical reporting standards
Solution Approach 1:
The system implements dynamic adaptability through configurable frameworks and transformation rules that can be adjusted based on the specific data formats and medical reporting standards required. The system dynamically selects and applies appropriate transformation rules based on the input data type, enabling versatile handling of diverse formats while optimizing computational resources by only processing what is necessary for each specific case.
3Productivity
If manual report generation processes are used, then computational resources are conserved, but the productivity and efficiency of report generation are significantly reduced
Solution Approach 1:
The system implements self-service automation where the electronic medical report generation process autonomously collects data from multiple clinic sources, parses various formats, applies transformation rules, and generates standardized reports without manual intervention. This automation dramatically improves productivity while the modular framework and rule-based approach manage system complexity by making it configurable rather than inherently complex.
4Loss of information
If comprehensive data collection from all clinic sources is performed, then the completeness of patient information is improved, but the data processing time and computational load increase
Solution Approach 1:
The system extracts only the relevant patient information needed for the electronic medical report from the comprehensive clinic data sources. Through targeted parsing and transformation rules, it identifies and extracts specific data elements required by medical reporting standards, ensuring information completeness while minimizing processing time by avoiding unnecessary data collection and transformation.
Data Source
AI summary
A system receives patient information from a patient computing device and/or a user computing device via a first network connection. The system further receives clinic notes from a clinic computing system for the generation of an electronic medical report based on a personal injury of the patient via a second network connection. Instead of statically generating a report, the system generates the electronic medical report by obtaining medical reporting standards and identifying rules and/or frameworks that satisfy the medical reporting standards. Further, the system dynamically maps the rules to the frameworks in order to plan the electronic medical report. The system can dynamically build the electronic medical report based on the rules, the frameworks, the patient information, and the clinic notes. After generating the electronic medical report, the system causes display of the electronic medical report via a display of the user computing device.